About Tempo Innovations, Inc.

Based in San Diego, California, Tempo develops thermochemical energy storage (TCES) systems designed for energy-intensive industries. The platform enables industrial operators to shift energy use over time by sourcing power when it is most cost-effective and enables the electrification of high-temperature industrial heat at a cost advantage to using fossil fuels. By storing electricity thermochemically, the system delivers a continuous stream of combustion-free, high-temperature air at up to 1,200°C.

Tempo is backed by leading climate and energy investors, including Breakthrough Energy Ventures, Khosla Ventures, and Prelude Ventures.

For more information, visit www.tempoenergy.com.

Job Description

Tempo is seeking a hands-on Materials Process Technician to support materials development, testing, and pilot-scale production for high-temperature energy storage systems. This role is suited for candidates with practical laboratory or manufacturing experience (e.g., pharma, ceramics, refractory, chemical processing, or similar industries) who can operate equipment, execute test plans, and support materials processing activities. This is a high-ownership, execution-focused role. Candidates must demonstrate hands-on capability through a practical skills assessment as part of the hiring process.

Requirements

• 2–5+ years of hands-on experience in a laboratory or manufacturing environment 
• Experience working with lab equipment and material processing 
• Ability to follow technical procedures and maintain accurate records 
• Strong attention to detail and reliability 

Preferred Qualifications

• Experience with lab instruments such as TGA, SEM, dilatometer, PSA, pycnometer 
• Experience with powder handling or ceramic processing
• Familiarity with high-temperature furnaces

Job Status and Compensation Range

Temp to Full-Time Hire (30-day temp period with an assessment at the end of the 30 days to evaluate full-time offer)

The US base salary range for this full-time position is $24/hour to $26/hour + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by additional factors, including job-related skills, experience, location, and relevant education or training. 

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity or benefits.

Tempo is an equal opportunity employer and we are committed to employing a diverse workforce, including, but not limited to, minorities, women, individuals with disabilities, and protected veterans.

ABOUT US

At RADAR, we're transforming the way the world thinks about physical retail. RADAR has raised over $104M from top investors, retailers, and strategics and works with some of the world's retail brands including American Eagle and Gap. We’re building the future of in-store experience where every product and every person can be precisely located in real time.

Our platform combines RFID and AI to unlock hyper-accurate product visibility and automation at scale. From real-time inventory tracking to seamless checkout experiences, our technology empowers some of the world’s largest retailers to streamline operations, reduce loss, and elevate both employee and customer experiences.

We’re a fast-growing, mission-driven startup where bold ideas, collaboration, and impact are at the core of everything we do. Join us as we reshape the physical world with digital precision, starting with retail and expanding far beyond!

OUR VALUES

Mission-Driven: We're transforming retail with cutting-edge technology and building something that truly matters.

Collaborative Team: We thrive on curiosity, shared goals, and solving complex problems together.

High Impact: You’ll make meaningful contributions from day one and help shape the future of our product and company.

Clear Communication: We value honesty, humility, and respectful dialogue—everyone’s voice matters.

Balanced Lives: We work hard, but not at the expense of well-being. We respect time, boundaries, and life outside of work.

Diverse Perspectives: We believe better ideas come from diverse backgrounds, experiences, and viewpoints.

Empathy-Driven Design: We build with deep respect for our end users, listening closely to their feedback and needs.

ABOUT THE JOB

As a Software Engineering Manager, you will be a player-coach leading a high-caliber engineering team building advanced platforms. Depending on your area of ownership, you may lead one or more teams across domains including Control Plane (edge/cloud compute), Dev/Sec Ops, Data Platform & Governance, High Scale Event Processing (hundreds of billions of events per day), Mobile Platforms, SRE & Operations, or Radar Platform (our core web/cloud customer experience). You will be technically hands-on in delivery while setting strategic direction, growing engineers, and collaborating cross-functionally with stakeholders and partner teams.

The best engineering managers here are strong engineers first. You'll be expected to contribute meaningfully to design, review code, and engage deeply with technical problems, not just manage the process around them. We move fast, and you've done it before. You know how to maintain a high quality bar without sacrificing velocity, and you bring the judgment to know when to push and when to slow down just enough to get it right.

Responsibilities:

• Lead, mentor, and grow a team of talented engineers; own performance management, career development, and a strong team culture.
• Set technical direction, support architecture decisions, and champion engineering best practices across your team and peers.
• Contribute directly to solution design and technical reviews; maintain a strong, credible technical presence.
• Manage agile processes, execution priorities, and on-time delivery of high-quality solutions.
• Collaborate with Engineering, Product, and UX stakeholders to define project plans and ensure requirements are understood, met, and well-documented.
• Identify, communicate, and drive resolution for technical and organizational risks.
• Foster a culture of security, quality, operational accountability, and continuous improvement.
• Support hiring and help grow the broader engineering organization.

ABOUT YOU

Required:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 7+ years of software engineering experience, including at least 2 years managing engineering teams of 5 or more direct reports.
• Proven ability to remain technically hands-on: contributing to design, architecture, and code review as a practicing engineer, not just an overseer.
• Demonstrated experience building, deploying, and operating complex distributed systems.
• Proficiency in at least one core language: Java, Python, C++, or Go.
• Solid foundation in systems or cloud architecture, DevOps/SecOps practices, automation, and CI/CD pipelines.
• Excellent communication, organizational, and people leadership skills.
• Commitment to engineering best practices: code quality, testing, and operational stability.
• Demonstrated ability to move fast and deliver in a startup or high-growth environment without compromising quality.

Preferred:

• Prior experience leading teams in one or more domains: Control Plane, Dev/Sec Ops, Data Platform, High Scale Event Processing, Mobile Platforms, SRE, or Radar Platform.
• Experience guiding teams through growth, change, and cross-functional collaboration.
• Familiarity with cloud platforms (AWS, GCP, Azure), container orchestration, or real-time data processing.
• Passion for mentoring, technical empowerment, and building inclusive engineering culture.

WHAT YOU'LL DO

In your first 30 days, you will:

• Meet every direct report 1:1 and begin building trust and rapport.
• Shadow team rituals: standups, planning, retros, design reviews.
• Map the systems your team owns: architecture, dependencies, operational health.
• Meet key cross-functional partners: product, design, peer engineering teams.
• Identify any immediate fires or risks that need attention before deeper learning is complete.

In your first 60 days, you will:

• Establish a consistent 1:1 cadence and begin individual development conversations.
• Actively participate in design and architecture discussions; contribute to code and technical reviews.
• Clarify team goals, priorities, and near-term delivery commitments.
• Identify process or quality gaps and begin forming a point of view on how to address them.
• Deliver or unblock at least one meaningful piece of work alongside your team.

In your first 90 days, you will:

• Present an initial team roadmap or priority framework to your manager and stakeholders.
• Have a clear development plan in place for each direct report.
• Be actively driving execution: unblocking the team, removing friction, and holding a high bar.
• Own at least one cross-functional initiative or decision end-to-end.
• Have a concrete plan to improve one dimension of team health: quality, velocity, culture, or process.

At RADAR, your base pay is one part of your total compensation package. The expected base salary range for this position is $200,000 - $250,000. Individual pay is determined by work location and additional factors,  including job-related skills, experience and relevant education or training.You will also be eligible to receive other benefits including: equity, comprehensive medical and dental coverage, life and disability benefits, 401k plan,  flexible time off, and paid parental leave. The pay range listed for this position is a good faith and reasonable estimate of the range of possible base compensation at the time of posting. 

Research has shown that women & underrepresented minorities are more likely to read lists of requirements and consider themselves unqualified if they don't meet every single one. This list represents what we're ideally looking for, but everyone has unique strengths & weaknesses, and we hire for strength & potential, not lack of weakness.

Use of artificial intelligence or a LLM such as ChatGPT during the interview process will be grounds for rejection of your application process.

We are looking for an inspirational and hardworking person to join the Platform Hosting Cloud Security Engineering team at SIE! You'll be joining a team of innovative engineers who are unified in their mission to make PlayStation the best and most secure gaming platform. This support is fulfilled by minimizing impact to the platform while ensuring security needs are met. This role is highly technical and requires a shown grasp of security principles and how they are applied to production environments. You will assist in the planning, building, development, testing, and management of security tools and processes that provide protection and visibility of our cloud environments.

Key Responsibilities

Service Mesh & API Security

• Deep expertise with service mesh architectures (e.g., Istio, Kong), to enable secure & reliable east-west service communication

• Extensive experience managing and configuring API gateways (e.g. Kong, Amazon API Gateway) for internal and external services, including:

• Authentication and authorization through OIDC, OAuth2, JWT, and mTLS

• Secure API exposure and traffic governance

Certificates & mTLS Management

• Strong experience managing PKI and certificate lifecycles, including issuance, rotation, and revocation

• Practical experience deploying and managing mTLS within distributed systems and Kubernetes workloads

• Experience integrating certificate authorities (CAs) and automating certificate management (e.g., cert-manager or similar tools)

• Understanding of trust models and certificate chain validation in zero-trust environments

Security Hardening & Zero Trust

• Strong background in security hardening and zero-trust architecture, including:

• Enforcing default mTLS across workloads

• Carrying out infrastructure-level authentication and authorization

• Crafting and maintaining fine-grained access control policies

• Experience building and maintaining zero-trust security models across multi-cluster or distributed systems

• Write and detail security policies and practices with clear, practical mentorship to ensure understanding and effective implementation

Kubernetes Security & Access Control

• Strong experience securing Kubernetes environments, including:

• Implementing namespace isolation and protection strategies

• Crafting and enforcing access controls and policies

• Managing service accounts and workload identities securely

• Familiarity with Kubernetes security guidelines, including least privilege access, network policies, and workload segmentation

Qualifications

Technical Skills & Platform Experience

• Bachelor's degree or equivalent experience required

• Proficiency in scripting and programming languages such as Python and Go

• Demonstrated experience applying and upholding security governance frameworks, including security policy enforcement and compliance controls

• Hands-on experience working with multi-cloud environments, particularly AWS and GCP

• Strong experience with Kubernetes and containerized environments

• Build, and implement security controls and frameworks

• Experience implementing security guidelines (mTLS, OAuth2, JWT, RBAC, ABAC)

• Detect security gaps, and lead efforts to mature security tooling and operational processes

• Work closely with product and platform teams to define system requirements, engineer, and implement cloud based security applications and controls

• Write code to automate security processes which seamlessly integrate into code builds and deployments, applying DevSecOps processes and tools

• Develop, and deploy automation solutions that help audit, secure, and affect changes across multi-cloud environments

• Reviewing tools for improving platform availability using automated protection mechanisms

• Experience with monitoring and observability tools (Grafana, Datadog)

• Research and recommend new technologies and collaborates on solutions

• Excellent written and oral communication skills. Strong social skills include the ability to articulate to both technical and non-technical audiences. Also, strong analytical and problem-solving skills.

• Technical certifications or other demonstrations of passion in security and technology such as CISSP, CCSP are a plus!

We are looking for an inspirational and hardworking person to join the Platform Hosting Cloud Security Engineering team at SIE! You'll be joining a team of innovative engineers who are unified in their mission to make PlayStation the best and most secure gaming platform. This support is fulfilled by minimizing impact to the platform while ensuring security needs are met. This role is highly technical and requires a shown grasp of security principles and how they are applied to production environments. You will assist in the planning, building, development, testing, and management of security tools and processes that provide protection and visibility of our cloud environments.

Key Responsibilities

Service Mesh & API Security

• Deep expertise with service mesh architectures (e.g., Istio, Kong), to enable secure & reliable east-west service communication

• Extensive experience managing and configuring API gateways (e.g. Kong, Amazon API Gateway) for internal and external services, including:

• Authentication and authorization through OIDC, OAuth2, JWT, and mTLS

• Secure API exposure and traffic governance

Certificates & mTLS Management

• Strong experience managing PKI and certificate lifecycles, including issuance, rotation, and revocation

• Practical experience deploying and managing mTLS within distributed systems and Kubernetes workloads

• Experience integrating certificate authorities (CAs) and automating certificate management (e.g., cert-manager or similar tools)

• Understanding of trust models and certificate chain validation in zero-trust environments

Security Hardening & Zero Trust

• Strong background in security hardening and zero-trust architecture, including:

• Enforcing default mTLS across workloads

• Carrying out infrastructure-level authentication and authorization

• Crafting and maintaining fine-grained access control policies

• Experience building and maintaining zero-trust security models across multi-cluster or distributed systems

• Write and detail security policies and practices with clear, practical mentorship to ensure understanding and effective implementation

Kubernetes Security & Access Control

• Strong experience securing Kubernetes environments, including:

• Implementing namespace isolation and protection strategies

• Crafting and enforcing access controls and policies

• Managing service accounts and workload identities securely

• Familiarity with Kubernetes security guidelines, including least privilege access, network policies, and workload segmentation

Qualifications

Technical Skills & Platform Experience

• Bachelor's degree or equivalent experience required

• Proficiency in scripting and programming languages such as Python and Go

• Demonstrated experience applying and upholding security governance frameworks, including security policy enforcement and compliance controls

• Hands-on experience working with multi-cloud environments, particularly AWS and GCP

• Strong experience with Kubernetes and containerized environments

• Build, and implement security controls and frameworks

• Experience implementing security guidelines (mTLS, OAuth2, JWT, RBAC, ABAC)

• Detect security gaps, and lead efforts to mature security tooling and operational processes

• Work closely with product and platform teams to define system requirements, engineer, and implement cloud based security applications and controls

• Write code to automate security processes which seamlessly integrate into code builds and deployments, applying DevSecOps processes and tools

• Develop, and deploy automation solutions that help audit, secure, and affect changes across multi-cloud environments

• Reviewing tools for improving platform availability using automated protection mechanisms

• Experience with monitoring and observability tools (Grafana, Datadog)

• Research and recommend new technologies and collaborates on solutions

• Excellent written and oral communication skills. Strong social skills include the ability to articulate to both technical and non-technical audiences. Also, strong analytical and problem-solving skills.

• Technical certifications or other demonstrations of passion in security and technology such as CISSP, CCSP are a plus!

Software Engineer II - Android Security

San Diego, CA

You will be a key member of our Portal team, developing the core OS for our next-generation platform to enhance the PlayStation ecosystem. Contribute to the evolution of mobile gaming and entertainment for millions of users worldwide.

Responsibilities: 

• Build and integrate firmware and frameworks across device teams to enhance efficiency and collaboration.

• Drive the development of DRM and security solutions for mobile and media apps.

• Bring up Android on new hardware.

• Collaborate closely with international teams of UI designers and product managers (USA, Japan, UK) to translate requirements into a secure device platform.

• Represent the team in technical forums by presenting designs, sharing knowledge, and contributing insights to other Sony software development groups.

• Identify performance bottlenecks and craft solutions to improve customer delight.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science or a related field, or equivalent practical experience.

• 5+ years of experience in developing Android, SELinus, embedded systems, and firmware interfaces.

• Familiarity with isolation technologies such as Arm TrustZone, secure monitor, or memory protection.

• Experience with implementing WideVine and PlayReady DRM.  

• Background in secure boot, key provisioning, firmware hardening, and trusted computing.

• Solid understanding of firmware attack surfaces: fault injection, code injection, privilege escalation.

• Experience with advanced attack surfaces like side-channel or fault attacks.

• Proficiency in C++ and Android / AOSP (Java/Kotlin and Android Studio) development.

Desired Qualifications:

• Exposure to TPMs, Secure Elements, or hardware-backed crypto modules.

PlayStation builds worldwide online services that need low-latency, secure, and reliable client–server communication for millions of users and services. We want an engineer committed to platform development, skilled in networking, application routing, and platform abstractions who enjoys converting architectural plans into stable, repeatable systems.

This role centers on crafting and deploying collaborative application routing and networking platforms. These platforms use Kubernetes along with modern gateway and service mesh technologies. They support the exchange of information both from client to service and between services across PlayStation’s hybrid infrastructure.

Responsibilities

In your role as a Platform Engineer at PlayStation, you will:

• Compose, develop, and maintain common application routing frameworks that facilitate communication spanning client requests to service responses as well as between services.
• Develop and improve routing capabilities through the Kong ecosystem, including Kong API Gateway, Kong Ingress Controller, and Kong Konnect.
• Enable safe traffic management approaches that support scalability, resilience, and controlled change.

Platforms for managing application routing

• Compose, build, and operate shared systems for managing application routing that enable client-to-service and service-to-service communication.
• Build and improve routing features with the Kong suite of tools (Kong API Gateway, Kong Ingress Controller, Kong Konnect).
• Facilitate secure traffic management methods that promote scalability, resilience, and regulated change.

Kubernetes & Service Connectivity

• Deploy and manage container-based routing and networking components on Kubernetes.
• Support east–west service connectivity within and across clusters, including service mesh-based solutions.
• Partner with Kubernetes platform teams to ensure routing infrastructure is reliable, scalable, and operable.

Platform Reliability & Enablement

• Increase the reliability, performance, and observability of application routing platforms.
• Integrate routing platforms into CI/CD and GitOps workflows.
• Provide clear conventions, automation, and documentation to enable application teams to adopt the platform effectively.

Requirements

• Strong background in networking and distributed systems, particularly client/server communication models.
• Hands-on experience operating application gateways, proxies, or traffic management platforms.
• Experience managing Kubernetes-based systems in production environments.
• Bachelor’s or Master’s degree in Computer Science or a related field, or equivalent practical experience.

Networking & Protocols

Solid understanding of:

• HTTP, HTTP/2, HTTP/3, gRPC
• TCP and UDP traffic patterns

TCP and UDP traffic patterns

• Experience with L4/L7 routing concepts, load balancing, and traffic policy.

Platform & Systems

• Proven experience integrating Kong to provide enterprise middleware application routing implementations.
• Experience working with platforms that rely on configuration, control planes, or policy systems.
• Familiarity with DNS-based service discovery and naming strategies.
• Comfort working alongside infrastructure primitives such as networks, load balancers, and firewalls.

Skills & Knowledge

• Experience supporting globally distributed systems across regions, providers, and environments.
• Knowledge of gateway architectures, service mesh concepts, and internal service connectivity.
• Familiarity with modern platform practices: GitOps or equivalent experience, Infrastructure as Code, Automated policy enforcement.
• Knowledge of fundamental networking technologies such as BGP, eBPF, or overlay networking is an advantage.

Additional Attributes

• Strong communicator who can collaborate effectively across architecture, platform, and application teams.
• Comfortable working with distributed teams across multiple time zones.
• Product-minded, with a focus on developer experience, platform reliability, and adoption.
• Self-starter with a strong sense of ownership and a bias toward documentation and knowledge sharing.
• Experience contributing to or collaborating on open-source software is a plus.

Principal Engineer, Developer Experience (DevEx)

Location: Hybrid / Remote Eligible

Why PlayStation

At PlayStation, we build the platforms and services behind some of the world’s most iconic entertainment experiences.

As our engineering organization grows, Developer Experience (DevEx) has become a strategic focus. We are investing in a unified, intelligent, and opinionated engineering ecosystem that enables teams to move faster, build with confidence, and focus on creating value.

This role helps shape how engineering is done across PlayStation.

The Role

We are looking for a Principal Engineer to lead Developer Experience (DevEx) at scale.

In this role, you will treat developer experience as a product—driving platform adoption, reducing friction across the software development lifecycle, and delivering measurable improvements in productivity, quality, and reliability.

You will work across organizations, partnering with senior engineering leaders to influence standards, platforms, and long-term technical direction.

What You’ll Do

• Define and drive the DevEx strategy across PlayStation.

• Own developer experience as a product, with clear roadmaps and success metrics.

• Identify and eliminate friction across the software development lifecycle.

• Drive platform-first adoption of CI/CD, testing, and lifecycle automation.

• Define and promote golden paths for building, deploying, and operating services.

• Lead the evolution of lifecycle automation platforms.

• Reduce tooling fragmentation through consolidation and strong defaults.

• Influence engineering practices to improve delivery speed, quality, and reliability.

• Partner with senior leaders to align DevEx investments with business priorities.

• Represent DevEx strategy in senior technical and leadership forums.

What We’re Looking For

• Experience leading large-scale platform, infrastructure, or developer productivity initiatives.

• Ability to influence engineering practices across multiple teams or organizations.

• Strong understanding of CI/CD, testing, deployment, and service operations.

• Experience balancing standardization with developer autonomy.

• Proven ability to translate technical strategy into measurable outcomes.

• Clear and effective communication skills.

• Bachelor's degree or equivalent

Nice to Have

• Experience building internal platforms as products.

• Familiarity with developer portals (e.g., Backstage).

• Experience with application lifecycle management or automation at scale.

• Exposure to AI-assisted engineering or automation workflows.

• Passion for improving developer experience and engineering excellence.

Why You’ll Love This Role

• Shape how engineering is done at PlayStation.

• Impact thousands of developers and millions of players.

• Work on long-term, high-impact platform initiatives.

• Partner with strong technical leaders across the company.

• Turn developer pain points into durable, scalable solutions.

Do you want to help bring PlayStation technology to a worldwide audience? Are you passionate about securing infrastructure that constantly pushes the boundary of the gaming industry? Are you ready to work with innovative technology, forward-thinking engineers, and a passionate security team? If so, join us!

The role is a senior-level application security position combining strong technical expertise with leadership, initiative, and collaboration. You will provide strategic mentorship and hands-on support in designing, implementing, and testing secure solutions that strengthen PlayStation products and services.

As a technical leader within Product Security, you’ll guide practices and influence multiple teams to embed security throughout the software development lifecycle.

Key Responsibilities

• Lead security initiatives across the SDLC and improve development practices through scalable automation.

• Conduct and guide threat modeling and security requirements early in design phases.

• Partner with developers, architects, and product managers to align business goals with security needs.

• Lead security architecture and code reviews for distributed systems.

• Perform hands-on testing to identify risks and drive remediation with vulnerability and incident response teams.

• Advance the Product Security strategy through multi-functional initiatives and cultural influence.

• Balance business and security risks through technically grounded, pragmatic recommendations.

• Translate lessons learned into reusable organizational assets that enhance overall security posture.

• Mentor engineers and practitioners, promoting secure-by-default thinking and shared accountability.

• Demonstrate proactive leadership, coordinating teams to deliver measurable security and business impact.

Qualifications

• 7+ years in information security and 3+ years in software development.

• Bachelor’s degree or equivalent in Computer Science, Information Security, or related field.

• Effective communication and leadership abilities; capable of influencing technical and non-technical collaborators including management.

• Dedicated and proactive, finding opportunities and leading initiatives independently.

• Deep understanding of enterprise and cloud-native architectures and their secure design.

• Expertise in network and web protocols (TCP/IP, TLS, HTTPS, OAuth 2.0, OpenID Connect) and common attack vectors.

• Proven expertise in guiding security development and code evaluations and providing actionable, risk-based recommendations.

• Skilled in multiple programming languages (e.g., Java, C/C++, JavaScript, Python) and mitigating vulnerabilities such as OWASP Top 10.

• Experience integrating SAST, DAST, and dependency scanning into CI/CD pipelines.

• Familiar with Agile, DevOps, and modern delivery practices.

• Hands-on experience with cloud technologies (AWS, Azure, GCP, Kubernetes, service mesh, CDN) including secure configuration and identity management.

Desired Experience

• Strong analytical and problem-solving skills with an attacker perspective — able to anticipate and simulate real-world attacks.

• Experience in penetration testing, automated testing, or testing frameworks (JUnit, pytest, REST Assured, Playwright).

• Security certifications preferred (GIAC, OSCP, CEH, CISSP, CCSP, or equivalent).

Software Engineer II- Data Platform

Hybrid: San Diego

Do you want to join a team of talented engineers dedicated to enhancing the PlayStation experience for millions of users and creators? As part of our Data Platform team, you will play a key role in building cutting-edge systems that power PlayStation’s data-driven features, delivering impactful insights and enabling seamless, interactive experiences!

The Software Engineers within our Platform Engineering Group design, build, document, and deploy large-scale data platforms that optimize performance and scalability across PlayStation systems. You will work on solving complex data challenges, improving platform capabilities, and ensuring high availability, all while supporting a dynamic, interactive environment for PlayStation users.

We’re looking for someone who is passionate about building innovative data platforms that scale to millions of users, collaborating across Engineering and Product teams in an agile environment. You’ll have the opportunity to work with the latest technologies, tools, and processes, helping to drive forward our technical and architectural goals.

Responsibilities

• Contribute to the development, testing, and deployment of high-quality code across the data platform

• Collaborate actively with global teams across multiple time zones, ensuring alignment and continuity

• Support platform capabilities for data cataloging, analytics, and ETL/ELT pipelines

• Assist in identifying performance bottlenecks and implementing improvements with guidance from senior engineers

• Build and support services that handle structured, semi-structured, and unstructured data (audio, video, text, images)

• Participate in on-call rotation for production support and help troubleshoot critical issues

• Contribute to platform documentation and maintain clarity for internal consumers

• Present work in team demos and represent engineering contributions in internal discussions

• Follow best practices in testing, monitoring, and deployment to ensure platform reliability

• Continuously learn and apply new tools, patterns, and technologies in the data platform space

Requirements

• 3+ years of experience developing scalable, distributed systems

• Proficient in at least one language: Scala, Java, or Python

• Experience building or maintaining cloud-based applications/services (AWS preferred, GCP is a plus)

• Exposure to event streaming platforms such as Kafka, Kinesis, or SQS and Data Ingestion

• Familiarity with distributed data processing frameworks like Apache Spark or Apache Flink

• Understanding of CI/CD pipelines, monitoring, and observability best practices

• Comfortable working in a globally distributed team

• Willingness to participate in production on-call rotations

Nice to Have

• Exposure to Databricks or similar unified data platforms

• Experience working with unstructured data formats such as images, video, or audio

• Familiarity with data cataloging, lineage, and metadata tools

• Experience supporting platform-scale features such as ETL frameworks, analytics services, or data quality checks

• Knowledge of GCP or multi-cloud environments

• Curiosity and enthusiasm for tackling scalability and reliability challenges

Your First 90 Days

• 30 Days: Ramp up on our tech stack, development tools, and team workflows. Deliver your first minor enhancement or bug fix and sync with global peers.

• 60 Days: Begin contributing to core platform features. Participate in code/design reviews and propose improvements.

• 90 Days: Own medium-scope features end-to-end. Engage in roadmap discussions and build strong cross-functional relationships with global stakeholders.

The Accounts team is a seasoned team at SIE which interacts with various critical systems server side, client side and commerce related teams. Using state of the art technology, leveraging AWS services, we create high transaction, low latency systems that live at the heart of every module in platform engineering.

This is a fast paced, high-visibility engineering position within SIE’s platform engineering organization helping to establish a linear scale, highly available, fault-tolerant, globally distributed accounts services platform.

 This next generation Accounts platform will support the fast growing SIE customer base on both world class PlayStation consoles, ,devices and PC platforms. This key role will lead the technology transformation of the accounts services platform including existing and new services to support the dramatic customer growth on the platform.

 As a Senior Software Development Engineer in the team, you will design and develop highly scalable, distributed services, as well as collaborate with product managers, architects , engineers, and operations team members across playstation.  This is a fast-paced environment that leverages lightweight SOA design patterns. We encourage innovation and expect developers to take a high level of ownership throughout the software life cycle.

If you are a strong developer with experience and interest in distributed systems, databases, performance and scalability, we'd like to talk to you.

Basic Requirements:

• Bachelor's Degree or Master’s Degree in Engineering, Computer Science or equivalent experience

• 5+ years of experience in developing business critical software using Enterprise Java/J2EE, Web Services, REST, JSON/XML, expert level of object oriented programming analysis and design

• 2+ years’ experience developing with AWS native services such as EC2, EKS, S3, Kinesis, Glue, Lambda, SQS, SNS and DynamoDB

• Experience developing applications on Java Services on Linux platforms

• Experience with servlet containers (e.g., Tomcat, Reactor Netty), JAXRS, Spring, and related technologies

• Experience developing web services using JSON and XML

• Prior experience working with Python is a plus

• Proficient in software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations

• Demonstrated ability to take a project from initial scope out of requirements to launch

• Possess deep knowledge of computer science fundamentals such as object oriented design, data structures, algorithm design, problem solving, and complexity analysis.

Preferred Qualifications:

• Experience with micro service architecture.

• Experience creating UML artifacts (e.g., class, sequence, and component diagrams)

• Experience with AI driven development tools for code review and pipeline management

• Experience in requirements engineering, describing software product features, and technical designs.

• Experience with large scale account management systems with high throughput requirements

• Experience in deploying, operating, and managing services in AWS or other cloud environments.

• Asynchronous programming, Non-blocking I/O, Event-driven and backpressure handling

• Experience building high performance, active-active, linearly scalable production services (Enterprise Java/J2EE, or C++, Web Services, REST, SQL/NoSQL data layers)

Sr. Technical Program Manager – San Diego

As a key leader of the Commerce - Technical Operations team, you will help drive the availability and enablement for PlayStation Store and purchase platforms. You will partner closely with service development teams to deliver exciting, new product and platform capabilities, while continuously raising the bar of maturity for operational excellence for millions of players worldwide.

We are seeking an experienced TPM with a strong balance of technical, organizational, and interpersonal skills. You will drive large-scale, cross-functional programs that impact teams throughout SIE. This role requires navigating complex systems, managing dependencies, and delivering results in a fast-paced, high-availability environment. 

Responsibilities:

As a TPM in Technical Operations, you will lead the delivery of development and operational initiatives across 100+ commerce experiences and backend services in a cloud environment. You will ensure high availability, resiliency, scalability, and performance across the platform.

You will collaborate closely with development, platform, security, and global operations teams to operate a highly available commerce ecosystem while enabling teams to efficiently deliver customer-facing features.

Other responsibilities include...

• Lead SRE and technical initiatives in a fast paced and highly collaborative environment supporting horizontally across a large software development organization.
• Demonstrate people and soft skills to generate a positive atmosphere of excitement and collaboration towards delighting customers and pushing the limits of technology.
• Manage delivery schedules and timelines across multiple products and teams, ensuring timelines are met and communication is transparent at all levels
• Collaborate and partner with other SRE teams that specialize in areas such as platform hosting, Kubernetes, CICD, and data services inspiring change and ensuring optimal application performance and resiliency across all back-end services 
• Identify and solve complex problems, simplifying them into clear, actionable insights that drive informed decisions and behavioral change.
• Be an advocate for continuous process improvement and innovation.
• Leverage technical expertise to bridge the gap between engineering and business. Translating complex concepts for technical and non-technical audiences, including executive leadership.
• Ensure to advocate and drive all tenets of SRE including availability, resiliency, observability, capacity, elasticity, supportability and automation.
• Conduct, document and present root cause analysis documents to share incident insights and findings with our broader engineering organization.

Qualifications:

• Bachelor's Degree in Engineering,Computer Science or equivalent  
• 5+ years of experience in Technical Program Management in an agile software development environment.
• 5+ years hands-on cloud experience – integrating, developing and managing applications
• 5+ years of relevant work experience in a highly visible, global and/or critical production, software environment
• 5+ years of experience or exposure to software engineering or supporting/maintaining software systems experience (Java, React, etc.)
• Experience managing projects and dependencies across cross functional teams, building sustainable processes, and coordinating release schedules.
• Excellent written and verbal communication skills with the ability to influence and collaborate across multiple groups with varied priorities.
• Excellent judgment, organizational and problem-solving skills.
• Experience or exposure to container technologies and orchestration (ie: Docker, Kubernetes, EKS)
• Experience or exposure to observability tools (ie: DataDog, CloudWatch, Splunk)

Staff Site Reliability Engineer

San Diego, CA

As a key leader of the Commerce - Technical Operations team, you will help drive the availability and enablement for PlayStation Store, Catalog, Entitlement, Pricing and Device Management platforms. You will partner closely with product engineering teams to deliver innovative player features and elevate operational excellence for millions of players worldwide.

Responsibilities:

Your responsibilities will include hands-on application management within a public cloud environment, ensuring availability, resiliency, scalability and performance. You will work side by side with our service development teams to develop, automate and ensure the production readiness of all new services and features introduced.

• Review and influence service architecture and system design to improve resiliency, fault tolerance, and scalability. Establish and promote best practices across engineering teams.
• Own and evolve Infrastructure-as-Code for managed services (AWS, GCP). Design and build scalable, reusable modules and automation that standardize provisioning, configuration, and operations
• Improve and develop production-grade automation, and tooling to improve measureable outcomes in operational process, manual toil, MTTx reduction, etc.
• Increase observability across the platform by implementing robust monitoring, logging, and tracing patterns. Build actionable dashboards and define meaningful alerting strategies that reduce MTTD and MTTR while minimizing noise.
• Leverage service telemetry and historical data to anticipate capacity needs, detect anomalous behavior, and proactively prevent incidents. Develop data-informed approaches to performance optimization and reliability engineering.
• Lead performance and capacity planning initiatives. Apply cloud-native patterns (e.g., auto-scaling, spot capacity, container orchestration with EKS) to optimize cost, performance, and availability at scale.
• Contribute code to shared repositories and platform components improving reliability, scalability, and maintainability.
• Collaborate across SIE with a variety of engineering, product, security and PMO teams to drive reliability improvements and ensure consistent operational standards across PlayStation services.
• Contribute to and help evolve reliability engineering practices, including SLIs/SLOs, error budgets, and operational readiness standards.
• Provide rotational on-call support, including incident detection, triage, and resolution for production systems, with a focus on continuous improvement of system reliability.
• Lead post-incident reviews, producing clear root cause analyses and driving follow-through on corrective and preventative actions across teams.

Qualifications:

• BS degree in Computer Science, Engineering, or related technical subject area.
• 7+ years hands-on AWS experience – integrating, developing and managing applications
• 10+ years of relevant SRE or operational work experience supporting a high-volume and/or critical production, software environment
• 10+ years of hands on software engineering or systems engineering experience (Java and/or React services)
• 5+ years of experience with building automation into daily operational processes through one or more programming languages (preferably Python or Go).
• Hands-on experience using modern AI engineering technologies, including LLM models, MCP-based integrations, and agentic workflow patterns, to improve SRE Operations.
• Strong experience in configuring, tuning and automating operational responsibilities for AWS managed data services including RDS, DynamoDB and Elasticache
• Experience with monitoring and log management tools (ie: DataDog, CloudWatch, Grafana, Splunk)
• Experience with container technologies and orchestration (ie: Docker, Kubernetes, EKS)
• Hands-on experience in triaging and tuning Java cloud applications with integration into AWS
• Solid understanding of AWS networking systems and protocols (ie: ALB, R53, API-Gateway, TCP/IP, HTTP/HTTPS, DNS)
• Experience with developing or support Continuous Integration and Continuous Delivery/Deployment pipelines (CI/CD)
• Excellent leadership presence, verbal and written communication

#LI-KS1

About the Team:

The Sensors Division at STR focuses on technology development for advanced sensor systems and platforms in support of national security. We have a particular focus on airborne/surface/space-based radar, electronic warfare, underwater acoustics, hyperspectral imaging, and EO/IR sensing. We work on full system prototypes, experiment campaigns, and next generation technology components. Specific technical areas include RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, tracking/fusion, autonomous systems, as well as real-time embedded processor implementation.

The Systems Autonomy, Analysis, and Modeling (SAAM) Group within the Sensors Division uses modeling and simulation (M&S) to analyze system capabilities, develop enabling algorithms, and take these integrated systems through test. We focus on the capabilities and limitations of ground, air, surface, and space sensing and counter-sensing platforms and the resource management of these assets to assure the survivability of US air and space assets. SAAM also leverages the emerging use of autonomy and Artificial Intelligence in uncrewed systems and techniques to collect, fuse, and understand sensor data across full systems of systems to assure mission success. SAAM is developing software and hardware tools and datasets to support these analyses, including algorithms, processing chains, and scenarios to inform and deploy onto both prototype demonstration systems & operational systems. Our main customer focus is on Air Force, Navy, and DARPA research programs.

The Role:

The SAAM group is seeking a Software Engineer to join high-performing teams transforming advanced concepts and algorithms into software implementations for prototypes and operational systems. You will work with scientists and engineers to design and implement algorithmic solutions to challenging national security problems. You will be responsible for enhancing the software architecture required to implement advanced algorithms in real-time hardware. You will also contribute to the development of engineer-facing tools and processes to facilitate long-term software development.

What you will do:

• Collaboration: work as part of a small, focused team to implement and test real-time applications featuring open architecture software principles
• System Development: leverage mature hardware systems and develop code to integrate them together, collaborating with SMEs across STR to leverage advanced algorithms where needed
• System Test: work closely with test leads in the SAAM group to leverage testing capabilities across M&S and live test, leveraging Live-Virtual-Constructive (LVC) infrastructure
• Customer Engagement: support and brief customers throughout the program lifecycle

Who you are:

• Self-motivated with demonstrated ability to excel under limited guidance
• Strong object-oriented programming skills in modern C++
• Proficient in test-driven development and CI/CD practices
• Experience with cross-platform development (Windows, Linux, iOS) and version control workflows
• Proficiency in MATLAB and/or Python
• BS with 2+ years experience or MS in Computer Science, Computer Engineering, Applied Mathematics, Electrical Engineering, or related field
• Ability to obtain and maintain a security clearance, for which U.S citizenship is needed by the U.S government

Even Better:

• Active Secret or Top Secret security clearance
• 2+ years of experience with open architecture systems such as OMS/UCI and A-GRA
• Experience with radar or EO/IR systems
• Familiarity with real-time algorithm optimization, especially for radar or remote sensing applications
• Experience with software quality tools (static/dynamic analysis, automated testing frameworks)

Pay Information
Full-Time Salary Range: $111,000 - $140,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate’s experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.

About the Team:

The Sensors Division at STR focuses on technology development for advanced sensor systems and platforms in support of national security. We have a particular focus on airborne/surface/space-based radar, electronic warfare, underwater acoustics, hyperspectral imaging, and EO/IR sensing. We work on full system prototypes, experiment campaigns, and next generation technology components. Specific technical areas include RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, tracking/fusion, autonomous systems, as well as real-time embedded processor implementation.

The Systems Autonomy, Analysis, and Modeling (SAAM) Group within the Sensors Division uses modeling and simulation (M&S) to analyze system capabilities, develop enabling algorithms, and take these integrated systems through test. We focus on the capabilities and limitations of ground, air, surface, and space sensing and counter-sensing platforms and the resource management of these assets to assure the survivability of US air and space assets. SAAM also leverages the emerging use of autonomy and Artificial Intelligence in uncrewed systems and techniques to collect, fuse, and understand sensor data across full systems of systems to assure mission success. SAAM is developing software and hardware tools and datasets to support these analyses, including algorithms, processing chains, and scenarios to inform and deploy onto both prototype demonstration systems & operational systems. Our main customer focus is on Air Force, Navy, and DARPA research programs.

The Role:

The SAAM group is seeking a Software Engineer to join high-performing teams transforming advanced concepts and algorithms into software implementations for prototypes and operational systems. You will work with scientists and engineers to design and implement algorithmic solutions to challenging national security problems. You will be responsible for enhancing the software architecture required to implement advanced algorithms in real-time hardware. You will also contribute to the development of engineer-facing tools and processes to facilitate long-term software development.

What you will do:

• Collaboration: work as part of a small, focused team to implement and test real-time applications featuring open architecture software principles
• System Development: leverage mature hardware systems and develop code to integrate them together, collaborating with SMEs across STR to leverage advanced algorithms where needed
• System Test: work closely with test leads in the SAAM group to leverage testing capabilities across M&S and live test, leveraging Live-Virtual-Constructive (LVC) infrastructure
• Customer Engagement: support and brief customers throughout the program lifecycle

Who you are:

• Self-motivated with demonstrated ability to excel under limited guidance
• Strong object-oriented programming skills in modern C++
• Proficient in test-driven development and CI/CD practices
• Experience with cross-platform development (Windows, Linux, iOS) and version control workflows
• Proficiency in MATLAB and/or Python
• BS with 2+ years experience or MS in Computer Science, Computer Engineering, Applied Mathematics, Electrical Engineering, or related field
• Ability to obtain and maintain a security clearance, for which U.S citizenship is needed by the U.S government

Even Better:

• Active Secret or Top Secret security clearance
• 2+ years of experience with open architecture systems such as OMS/UCI and A-GRA
• Experience with radar or EO/IR systems
• Familiarity with real-time algorithm optimization, especially for radar or remote sensing applications
• Experience with software quality tools (static/dynamic analysis, automated testing frameworks)

Pay Information
Full-Time Salary Range: $111,000 - $140,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate’s experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.

About the Team:

The Sensors Division at STR focuses on technology development for advanced sensor systems and platforms in support of national security. We have a particular focus on airborne/surface/space-based radar, electronic warfare, underwater acoustics, hyperspectral imaging, and EO/IR sensing. We work on full system prototypes, experiment campaigns, and next generation technology components. Specific technical areas include RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, tracking/fusion, autonomous systems, as well as real-time embedded processor implementation.

The Systems Autonomy, Analysis, and Modeling (SAAM) Group within the Sensors Division uses modeling and simulation (M&S) to analyze system capabilities, develop enabling algorithms, and take these integrated systems through test. We focus on the capabilities and limitations of ground, air, surface, and space sensing and counter-sensing platforms and the resource management of these assets to assure the survivability of US air and space assets. SAAM also leverages the emerging use of autonomy and Artificial Intelligence in uncrewed systems and techniques to collect, fuse, and understand sensor data across full systems of systems to assure mission success. SAAM is developing software and hardware tools and datasets to support these analyses, including algorithms, processing chains, and scenarios to inform and deploy onto both prototype demonstration systems & operational systems. Our main customer focus is on Air Force, Navy, and DARPA research programs.

The Role:

The SAAM group is seeking a Software Engineer to join high-performing teams transforming advanced concepts and algorithms into software implementations for prototypes and operational systems. You will work with scientists and engineers to design and implement algorithmic solutions to challenging national security problems. You will be responsible for enhancing the software architecture required to implement advanced algorithms in real-time hardware. You will also contribute to the development of engineer-facing tools and processes to facilitate long-term software development.

What you will do:

• Collaboration: work as part of a small, focused team to implement and test real-time applications featuring open architecture software principles
• System Development: leverage mature hardware systems and develop code to integrate them together, collaborating with SMEs across STR to leverage advanced algorithms where needed
• System Test: work closely with test leads in the SAAM group to leverage testing capabilities across M&S and live test, leveraging Live-Virtual-Constructive (LVC) infrastructure
• Customer Engagement: support and brief customers throughout the program lifecycle

Who you are:

• Self-motivated with demonstrated ability to excel under limited guidance
• Strong object-oriented programming skills in modern C++
• Proficient in test-driven development and CI/CD practices
• Experience with cross-platform development (Windows, Linux, iOS) and version control workflows
• Proficiency in MATLAB and/or Python
• BS with 2+ years experience or MS in Computer Science, Computer Engineering, Applied Mathematics, Electrical Engineering, or related field
• Ability to obtain and maintain a security clearance, for which U.S citizenship is needed by the U.S government

Even Better:

• Active Secret or Top Secret security clearance
• 2+ years of experience with open architecture systems such as OMS/UCI and A-GRA
• Experience with radar or EO/IR systems
• Familiarity with real-time algorithm optimization, especially for radar or remote sensing applications
• Experience with software quality tools (static/dynamic analysis, automated testing frameworks)

Pay Information
Full-Time Salary Range: $111,000 - $140,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate’s experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.

About the Team:

The Sensors Division at STR focuses on technology development for advanced sensor systems and platforms in support of national security. We have a particular focus on airborne/surface/space-based radar, electronic warfare, underwater acoustics, hyperspectral imaging, and EO/IR sensing. We work on full system prototypes, experiment campaigns, and next generation technology components. Specific technical areas include RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, tracking/fusion, autonomous systems, as well as real-time embedded processor implementation.

The Systems Autonomy, Analysis, and Modeling (SAAM) Group within the Sensors Division uses modeling and simulation (M&S) to analyze system capabilities, develop enabling algorithms, and take these integrated systems through test. We focus on the capabilities and limitations of ground, air, surface, and space sensing and counter-sensing platforms and the resource management of these assets to assure the survivability of US air and space assets. SAAM also leverages the emerging use of autonomy and Artificial Intelligence in uncrewed systems and techniques to collect, fuse, and understand sensor data across full systems of systems to assure mission success. SAAM is developing software and hardware tools and datasets to support these analyses, including algorithms, processing chains, and scenarios to inform and deploy onto both prototype demonstration systems & operational systems. Our main customer focus is on Air Force, Navy, and DARPA research programs.

The Role:

The SAAM group is seeking a Senior Software Engineer to join high-performing teams transforming advanced concepts and algorithms into software implementations for prototypes and operational systems. You will work with scientists and engineers to design and implement algorithmic solutions to challenging national security problems. You will be responsible for enhancing the software architecture required to implement advanced algorithms in real-time hardware. You will also contribute to the development of engineer-facing tools and processes to facilitate long-term software development.

What you will do:

• Collaboration: work as part of a small, focused team to implement and test real-time applications featuring open architecture software principles
• System Development: leverage mature hardware systems and develop code to integrate them together, collaborating with SMEs across STR to leverage advanced algorithms where needed
• System Test: work closely with test leads in the SAAM group to leverage testing capabilities across M&S and live test, leveraging Live-Virtual-Constructive (LVC) infrastructure
• Customer Engagement: support and brief customers throughout the program lifecycle

Who you are:

• Self-motivated with demonstrated ability to excel under limited guidance
• Strong object-oriented programming skills in modern C++
• Proficient in test-driven development and CI/CD practices
• Experience with cross-platform development (Windows, Linux, iOS) and version control workflows
• Proficiency in MATLAB and/or Python
• BS with 5+ years experience or MS with 3+ years experience in Computer Science, Computer Engineering, Applied Mathematics, Electrical Engineering, or related field
• Ability to obtain a security clearance, for which U.S. citizenship is needed by U.S. Government. 

Even Better:

• Active Secret or Top Secret security clearance
• 2+ years of experience with open architecture systems such as OMS/UCI and A-GRA
• Experience with radar or EO/IR systems
• Familiarity with real-time algorithm optimization, especially for radar or remote sensing applications
• Experience with software quality tools (static/dynamic analysis, automated testing frameworks)

Pay Information
Full-Time Salary Range: $139,000 - $180,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate’s experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.

About the Team:

The Sensors Division at STR focuses on technology development for advanced sensor systems and platforms in support of national security. We have a particular focus on airborne/surface/space-based radar, electronic warfare, underwater acoustics, hyperspectral imaging, and EO/IR sensing. We work on full system prototypes, experiment campaigns, and next generation technology components. Specific technical areas include RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, tracking/fusion, autonomous systems, as well as real-time embedded processor implementation.

The Systems Autonomy, Analysis, and Modeling (SAAM) Group within the Sensors Division uses modeling and simulation (M&S) to analyze system capabilities, develop enabling algorithms, and take these integrated systems through test. We focus on the capabilities and limitations of ground, air, surface, and space sensing and counter-sensing platforms and the resource management of these assets to assure the survivability of US air and space assets. SAAM also leverages the emerging use of autonomy and Artificial Intelligence in uncrewed systems and techniques to collect, fuse, and understand sensor data across full systems of systems to assure mission success. SAAM is developing software and hardware tools and datasets to support these analyses, including algorithms, processing chains, and scenarios to inform and deploy onto both prototype demonstration systems & operational systems. Our main customer focus is on Air Force, Navy, and DARPA research programs.

The Role:

The SAAM group is seeking a Senior Software Engineer to join high-performing teams transforming advanced concepts and algorithms into software implementations for prototypes and operational systems. You will work with scientists and engineers to design and implement algorithmic solutions to challenging national security problems. You will be responsible for enhancing the software architecture required to implement advanced algorithms in real-time hardware. You will also contribute to the development of engineer-facing tools and processes to facilitate long-term software development.

What you will do:

• Collaboration: work as part of a small, focused team to implement and test real-time applications featuring open architecture software principles
• System Development: leverage mature hardware systems and develop code to integrate them together, collaborating with SMEs across STR to leverage advanced algorithms where needed
• System Test: work closely with test leads in the SAAM group to leverage testing capabilities across M&S and live test, leveraging Live-Virtual-Constructive (LVC) infrastructure
• Customer Engagement: support and brief customers throughout the program lifecycle

Who you are:

• Self-motivated with demonstrated ability to excel under limited guidance
• Strong object-oriented programming skills in modern C++
• Proficient in test-driven development and CI/CD practices
• Experience with cross-platform development (Windows, Linux, iOS) and version control workflows
• Proficiency in MATLAB and/or Python
• BS with 5+ years experience or MS with 3+ years experience in Computer Science, Computer Engineering, Applied Mathematics, Electrical Engineering, or related field
• Ability to obtain a security clearance, for which U.S. citizenship is needed by U.S. Government. 

Even Better:

• Active Secret or Top Secret security clearance
• 2+ years of experience with open architecture systems such as OMS/UCI and A-GRA
• Experience with radar or EO/IR systems
• Familiarity with real-time algorithm optimization, especially for radar or remote sensing applications
• Experience with software quality tools (static/dynamic analysis, automated testing frameworks)

Pay Information
Full-Time Salary Range: $139,000 - $180,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate’s experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.

About the Team:

The Sensors Division at STR focuses on technology development for advanced sensor systems and platforms in support of national security. We have a particular focus on airborne/surface/space-based radar, electronic warfare, underwater acoustics, hyperspectral imaging, and EO/IR sensing. We work on full system prototypes, experiment campaigns, and next generation technology components. Specific technical areas include RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, tracking/fusion, autonomous systems, as well as real-time embedded processor implementation.

The Systems Autonomy, Analysis, and Modeling (SAAM) Group within the Sensors Division uses modeling and simulation (M&S) to analyze system capabilities, develop enabling algorithms, and take these integrated systems through test. We focus on the capabilities and limitations of ground, air, surface, and space sensing and counter-sensing platforms and the resource management of these assets to assure the survivability of US air and space assets. SAAM also leverages the emerging use of autonomy and Artificial Intelligence in uncrewed systems and techniques to collect, fuse, and understand sensor data across full systems of systems to assure mission success. SAAM is developing software and hardware tools and datasets to support these analyses, including algorithms, processing chains, and scenarios to inform and deploy onto both prototype demonstration systems & operational systems. Our main customer focus is on Air Force, Navy, and DARPA research programs.

The Role:

The SAAM group is seeking a Senior Software Engineer to join high-performing teams transforming advanced concepts and algorithms into software implementations for prototypes and operational systems. You will work with scientists and engineers to design and implement algorithmic solutions to challenging national security problems. You will be responsible for enhancing the software architecture required to implement advanced algorithms in real-time hardware. You will also contribute to the development of engineer-facing tools and processes to facilitate long-term software development.

What you will do:

• Collaboration: work as part of a small, focused team to implement and test real-time applications featuring open architecture software principles
• System Development: leverage mature hardware systems and develop code to integrate them together, collaborating with SMEs across STR to leverage advanced algorithms where needed
• System Test: work closely with test leads in the SAAM group to leverage testing capabilities across M&S and live test, leveraging Live-Virtual-Constructive (LVC) infrastructure
• Customer Engagement: support and brief customers throughout the program lifecycle

Who you are:

• Self-motivated with demonstrated ability to excel under limited guidance
• Strong object-oriented programming skills in modern C++
• Proficient in test-driven development and CI/CD practices
• Experience with cross-platform development (Windows, Linux, iOS) and version control workflows
• Proficiency in MATLAB and/or Python
• BS with 5+ years experience or MS with 3+ years experience in Computer Science, Computer Engineering, Applied Mathematics, Electrical Engineering, or related field
• Ability to obtain a security clearance, for which U.S. citizenship is needed by U.S. Government. 

Even Better:

• Active Secret or Top Secret security clearance
• 2+ years of experience with open architecture systems such as OMS/UCI and A-GRA
• Experience with radar or EO/IR systems
• Familiarity with real-time algorithm optimization, especially for radar or remote sensing applications
• Experience with software quality tools (static/dynamic analysis, automated testing frameworks)

Pay Information
Full-Time Salary Range: $139,000 - $180,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate’s experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.

About the Team:

The Sensors Division at STR focuses on technology development for advanced sensor systems and platforms in support of national security. We have a particular focus on airborne/surface/space-based radar, electronic warfare, underwater acoustics, hyperspectral imaging, and EO/IR sensing. We work on full system prototypes, experiment campaigns, and next generation technology components. Specific technical areas include RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, tracking/fusion, autonomous systems, as well as real-time embedded processor implementation.

The Systems Autonomy, Analysis, and Modeling (SAAM) Group within the Sensors Division uses modeling and simulation (M&S) to analyze system capabilities, develop enabling algorithms, and take these integrated systems through test. We focus on the capabilities and limitations of ground, air, surface, and space sensing and counter-sensing platforms and the resource management of these assets to assure the mission success of US air and space assets. SAAM also leverages the emerging use of autonomy and Artificial Intelligence in uncrewed systems and techniques to collect, fuse, and understand sensor data across full systems of systems to assure mission success. SAAM is developing software and hardware tools and datasets to support these analyses, including algorithms, processing chains, and scenarios to inform and deploy onto both prototype demonstration systems & operational systems. Our main customer focus is on Air Force, Navy, and DARPA research programs.

The Role:

As an Autonomy Software Engineer in the SAAM group, you will work as a part of high-performing teams focused on autonomy development and mission systems integration within demanding customer environments. You will ensure that these teams are executing at a high level to develop robust, fielded solutions that also lay the groundwork for future programs to build on.

What you will do:

• System Development: leverage mature hardware systems and develop code to integrate them together, collaborating with SMEs across STR to leverage advanced algorithms where needed
• System Test: work closely with test leads in the SAAM group to leverage testing capabilities across M&S and live test, leveraging Live-Virtual-Constructive (LVC) infrastructure
• Leadership: lead small, focused teams to implement and test real-time applications featuring open architecture software principles, implementing real-time systems in Modern C++ from verified algorithms written in higher-level languages such as MATLAB
• Customer engagement: support potential and current customer discussions to better understand their requirements and shape product development

Who you are:

• Self-motivated with demonstrated ability to excel under limited guidance
• Strong proficiency in modern C++ development, including multi-threaded applications
• Experience with test-driven development and CI/CD practices
• Familiarity with cross-platform development (Windows, Linux, iOS) and version control workflows
• Experience with hardware/software integration
• Minimum of 2 years relevant experience with PhD, 5 years with MS, or 7 years with BS
• Ability to obtain and maintain a secret security clearance, for which U.S citizenship is needed by the U.S government

Even Better:

• Active Secret or Top Secret security clearance
• 5+ years of C++ programming experience with open architecture systems
• Experience with safety-critical software architectures
• Experience with real-time software development and algorithm optimization
• Familiarity with network protocols and debugging
• Familiarity with relevant open standards such as OMS/UCI and A-GRA
• Experience with software quality tools (static/dynamic analysis, automated testing frameworks)

Pay Information
Full-Time Salary Range: $174,000 - $225,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate’s experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.

About the Team:

The Sensors Division at STR focuses on technology development for advanced sensor systems and platforms in support of national security. We have a particular focus on airborne/surface/space-based radar, electronic warfare, underwater acoustics, hyperspectral imaging, and EO/IR sensing. We work on full system prototypes, experiment campaigns, and next generation technology components. Specific technical areas include RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, tracking/fusion, autonomous systems, as well as real-time embedded processor implementation.

The Systems Autonomy, Analysis, and Modeling (SAAM) Group within the Sensors Division uses modeling and simulation (M&S) to analyze system capabilities, develop enabling algorithms, and take these integrated systems through test. We focus on the capabilities and limitations of ground, air, surface, and space sensing and counter-sensing platforms and the resource management of these assets to assure the mission success of US air and space assets. SAAM also leverages the emerging use of autonomy and Artificial Intelligence in uncrewed systems and techniques to collect, fuse, and understand sensor data across full systems of systems to assure mission success. SAAM is developing software and hardware tools and datasets to support these analyses, including algorithms, processing chains, and scenarios to inform and deploy onto both prototype demonstration systems & operational systems. Our main customer focus is on Air Force, Navy, and DARPA research programs.

The Role:

As an Autonomy Software Engineer in the SAAM group, you will work as a part of high-performing teams focused on autonomy development and mission systems integration within demanding customer environments. You will ensure that these teams are executing at a high level to develop robust, fielded solutions that also lay the groundwork for future programs to build on.

What you will do:

• System Development: leverage mature hardware systems and develop code to integrate them together, collaborating with SMEs across STR to leverage advanced algorithms where needed
• System Test: work closely with test leads in the SAAM group to leverage testing capabilities across M&S and live test, leveraging Live-Virtual-Constructive (LVC) infrastructure
• Leadership: lead small, focused teams to implement and test real-time applications featuring open architecture software principles, implementing real-time systems in Modern C++ from verified algorithms written in higher-level languages such as MATLAB
• Customer engagement: support potential and current customer discussions to better understand their requirements and shape product development

Who you are:

• Self-motivated with demonstrated ability to excel under limited guidance
• Strong proficiency in modern C++ development, including multi-threaded applications
• Experience with test-driven development and CI/CD practices
• Familiarity with cross-platform development (Windows, Linux, iOS) and version control workflows
• Experience with hardware/software integration
• Minimum of 2 years relevant experience with PhD, 5 years with MS, or 7 years with BS
• Ability to obtain and maintain a secret security clearance, for which U.S citizenship is needed by the U.S government

Even Better:

• Active Secret or Top Secret security clearance
• 5+ years of C++ programming experience with open architecture systems
• Experience with safety-critical software architectures
• Experience with real-time software development and algorithm optimization
• Familiarity with network protocols and debugging
• Familiarity with relevant open standards such as OMS/UCI and A-GRA
• Experience with software quality tools (static/dynamic analysis, automated testing frameworks)

Pay Information
Full-Time Salary Range: $174,000 - $225,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate’s experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.

About the Team:

The Sensors Division at STR focuses on technology development for advanced sensor systems and platforms in support of national security. We have a particular focus on airborne/surface/space-based radar, electronic warfare, underwater acoustics, hyperspectral imaging, and EO/IR sensing. We work on full system prototypes, experiment campaigns, and next generation technology components. Specific technical areas include RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, tracking/fusion, autonomous systems, as well as real-time embedded processor implementation.

The Systems Autonomy, Analysis, and Modeling (SAAM) Group within the Sensors Division uses modeling and simulation (M&S) to analyze system capabilities, develop enabling algorithms, and take these integrated systems through test. We focus on the capabilities and limitations of ground, air, surface, and space sensing and counter-sensing platforms and the resource management of these assets to assure the mission success of US air and space assets. SAAM also leverages the emerging use of autonomy and Artificial Intelligence in uncrewed systems and techniques to collect, fuse, and understand sensor data across full systems of systems to assure mission success. SAAM is developing software and hardware tools and datasets to support these analyses, including algorithms, processing chains, and scenarios to inform and deploy onto both prototype demonstration systems & operational systems. Our main customer focus is on Air Force, Navy, and DARPA research programs.

The Role:

As an Autonomy Software Engineer in the SAAM group, you will work as a part of high-performing teams focused on autonomy development and mission systems integration within demanding customer environments. You will ensure that these teams are executing at a high level to develop robust, fielded solutions that also lay the groundwork for future programs to build on.

What you will do:

• System Development: leverage mature hardware systems and develop code to integrate them together, collaborating with SMEs across STR to leverage advanced algorithms where needed
• System Test: work closely with test leads in the SAAM group to leverage testing capabilities across M&S and live test, leveraging Live-Virtual-Constructive (LVC) infrastructure
• Leadership: lead small, focused teams to implement and test real-time applications featuring open architecture software principles, implementing real-time systems in Modern C++ from verified algorithms written in higher-level languages such as MATLAB
• Customer engagement: support potential and current customer discussions to better understand their requirements and shape product development

Who you are:

• Self-motivated with demonstrated ability to excel under limited guidance
• Strong proficiency in modern C++ development, including multi-threaded applications
• Experience with test-driven development and CI/CD practices
• Familiarity with cross-platform development (Windows, Linux, iOS) and version control workflows
• Experience with hardware/software integration
• Minimum of 2 years relevant experience with PhD, 5 years with MS, or 7 years with BS
• Ability to obtain and maintain a secret security clearance, for which U.S citizenship is needed by the U.S government

Even Better:

• Active Secret or Top Secret security clearance
• 5+ years of C++ programming experience with open architecture systems
• Experience with safety-critical software architectures
• Experience with real-time software development and algorithm optimization
• Familiarity with network protocols and debugging
• Familiarity with relevant open standards such as OMS/UCI and A-GRA
• Experience with software quality tools (static/dynamic analysis, automated testing frameworks)

Pay Information
Full-Time Salary Range: $174,000 - $225,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate’s experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.

Senior Security Engineer

Our Engineering Standards at Karbon:

Balance Speed and Quality

Engineers are expected to balance delivery speed with a strong commitment to quality, meeting agreed timelines while producing reliable, maintainable, and well-tested solutions. Sound judgment in making trade-offs between velocity and long-term sustainability is essential.

Collaborate Effectively

Engineering is collaborative by default. Team members are expected to contribute constructively in design discussions, reviews, and planning, communicate clearly about progress and risks, and support shared team outcomes in both hybrid and distributed environments.

Build and Maintain Systems

Engineers are responsible for building new capabilities while maintaining and improving existing systems. This includes designing scalable solutions, reducing technical debt, supporting operational stability, and contributing to continuous improvement.

Operate with Autonomy

A high degree of autonomy is expected. Given clear objectives, engineers should independently translate problems into actionable technical approaches, proactively identify improvements, and continuously expand relevant technical expertise.

Ownership and Accountability

Ownership is fundamental. Engineers are accountable for the quality, performance, and customer impact of their work from design through post-release support, and are expected to follow through on commitments.

AI-Enabled Engineering

AI is reshaping how software is built, and we are committed to leveraging it as a force multiplier for creativity, impact, and capability. Engineers are expected to confidently apply strong technical fundamentals while embracing AI tools and approaches to enhance productivity, problem-solving, and innovation. Curiosity, adaptability, and enthusiasm for integrating AI into meaningful product development are essential.

Contribute to Team Culture

Engineers contribute positively to a culture of professionalism, transparency, low bureaucracy, and mutual respect, strengthening team performance through authenticity, curiosity, and collaboration.

About the Role! 

Seeking a development & cloud focused Senior Security Engineer to join our expanding security team.

The ideal candidate will have passion for AppSec, Cloud and AI. They will be a skilled communicator and relationship builder capable of promoting and building security practices across the organization and into our development processes.

AI is reshaping practices across the board and at Karbon we’re fully committed. We don’t see AI as a replacement but as a force multiplier. We’re looking for Security Engineers who are confident in network & security fundamentals, driven to grow, and excited by the challenges and opportunities AI brings.

What You’ll Own:

• Partner with different areas within Karbon - You will make sure security is embedded from the start from feature design and development to participating in design reviews and threat modelling.
• Balance Security and Delivery - You know how to balance delivery needs with security and can communicate security risks and issues to non technical stakeholders. You understand when it's important to push back, when to compromise and how to work with delivery teams to reach a great outcome.
• You keep up to date on the latest technologies and approaches - You are excited by the new developments such as AI bring to security but also understand the importance of security foundational practices such as good account hygiene, least privilege, attack surface reduction and MFA.
• Identify and assess security risks introduced by AI tools - You’ll assist with reviewing the risks of AI tooling usage & Integration and AI-generated code.
• Apply AI-assisted tooling to accelerate security work - you understand the impact AI can have and utilize it across many areas including triage, threat detection, code review, and documentation.
• Flexibility and confidence to work across multiple security domains - We’re a small team responsible for Security at a fast moving company and you’ll get exposure to many different security domains; you could be assisting with refining and investigating corporate IT security processes in the morning, reviewing a cloud hosted system after lunch and then tweaking detection rules!
• Work effectively as part of a team - Security is a team sport and you understand the need to build relationships and trust across the organization to enhance Karbon’s security posture. You are happy to answer questions and offer advice to teams that will reach out for your assistance.
• Own your work - You take pride in your work, feeling a deep sense of responsibility for the products we develop and ensuring we keep our customers' valuable data secure. This sense of ownership is paramount, and you share this commitment.
• Bring your passion and personality - Your creativity, curiosity, and authentic self make the team stronger. If you've worked in highly political environments, you'll find our culture, free from office politics and valuing openness and authenticity, a refreshing change.
• Help us measure improvement and steer our roadmap - Contribute to Security Metrics so we can track progress and feedback into our roadmap.

What Sets You Apart

4+ years experience in a security or development role across most of the following:

• Collaborating with teams to review designs & implementations for security issues and embedding good security practices across software development
• Triaging issues and reports, assisting teams to remedy items and testing fixes
• Working with external penetration test companies to validate and prioritize findings
• Conducting risk and vulnerability assessments of web applications and APIs and third party suppliers and integrations
• Configuring and tuning SAST, SCA and DAST Tooling
• Working with build/deployment pipelines to incorporate security tooling (Github Actions or Azure Devops YAML based pipelines)
• Assisting with implementing security focused alerting and detections and automations
• Conducting and facilitating organizational & developer focused security training
• Assisting with operational security items such as EDR alerts and MDM
• Contributing to our security roadmap

In addition you’ll need:

• Strong communication skills (spoken and written) 
• Some of the following Languages/Frameworks: Microsoft .NET/C#, JavaScript (we use React and EmberJS frameworks and, Python)
• At least one cloud platform: Azure, AWS or GCP (we use Azure predominantly)
• Working knowledge of PowerShell or Bash and Python
• Working knowledge of at least one AI development tool e.g. Claude Code, GitHub Co-Pilot etc
• Portswigger Burp or similar
• Certifications such as Offsec OSCP & AWAE, GIAC, Burp Practitioner, PJPT, Microsoft/AWS development and cloud related are nice to have
• Experience with securing AI applications, systems and AI tooling would be highly regarded

Why Work at Karbon?

• Gain global experience across Australia, New Zealand, UK, and Canada
• Strong benefits package including:
• Flexible Time Off with an encouraged 4 weeks use per year
• Company paid medical for you and eligible spouse/partner and dependents
• Paid dental and vision and eligible spouse/partner and dependents
• 401(k) with company matching
• Flexible Spending Account
• Up to 8 weeks paid parental leave
• Work-from-home stipend
• Work with (and learn from) an experienced, high-performing team
• A collaborative, team-oriented culture that embraces diversity, invests in development and provides consistent feedback
• Be part of a fast-growing company that firmly believes in promoting high performers from within

THE ROLE:

Are you passionate about driving innovation in the data storage industry? Are you skilled in crafting technical solutions that exceed customer expectations? If so, we have an exciting opportunity for you! Everpure (formerly Pure Storage), a leader in the data storage and flash technology space, is seeking a talented and motivated Senior Pre-Sales Systems Engineer to join our dynamic team. 

As a Senior Pre-Sales Systems Engineer, you will play a crucial role in understanding our customers' unique challenges and tailoring Everpure solutions to meet their specific needs. Collaborating closely with the sales team, you will act as a technical expert during the sales process, helping to showcase the value of our products and services.

WHAT YOU’LL DO:

• Develop an exhaustive understanding of what drives a customer’s business and what motivates their decision making
• Connect the dots from technology solutions, inclusive of the Everpure portfolio and others from the ecosystem, to measurable customer business outcomes
• Partner closely with account managers, specialists and channel partners to create a seamless and holistic customer experience and strategy to drive revenue growth and net new business
• Delight customers and teammates with your technical leadership and domain expertise on storage products, distributed storage architectures, file systems, and competitive storage offerings in the DAS, NAS and SAN product spaces
• Take control of evaluations,  benchmarks and system configurations
• Build and deliver technical product and architecture presentations with vigor to customers and lock in the technical win with clients and prospective accounts
• Capture requirements and translate Customer’s business needs into innovative solutions to accelerate their growth and capacity
• Seek out and spur new opportunities for interoperability, functional, and performance testing/validation
• Promote mutual roadmap and planning exchanges
• Liaise with product and technical marketing to produce materials (i.e. whitepaper, web presentations) that support overall alliance plans and objectives
• Stay current with the competition and ensure that materials accurately reflect the latest, differentiated solution positioning
• Move with market trends and competitive landscape to promote thought leadership within our organization
• Lead by example living the Everpure Values:  Persistence, Creativity, Teamwork, Ownership and Customer-first  

WHAT YOU BRING:

• Pre-sales experience is required
• 5 or more years of relevant experience, mixed among technology, design, and communications required. Experience supporting the sales of enterprise storage, networking, systems, cloud, or software to enterprise accounts preferred
• Deep understanding of the architecture, design and implementation of multi-tiered client/server and web-based computing solutions
• Must have a familiarity with modern web architecture a plus (LAMP stack, scale-out vs scale-up architectures, AWS well-architected framework, microservices architecture)
• Prior experience in targeting new prospects and converting them into clients
• Contribute significant portions and/or lead responses to RFPs, RFQs and RFIs
• Superior knowledge of current and emerging storage architectures (FC, iSCSI, NAS, OSD, SAN)
• Previous experience with Linux, NFS file systems and Linux distributed network environment
• Installation/configuration of distributed computing, multiprocessing, virtual memory subsystem, storage subsystems architecture, shared memory architectures, cache architectures, windowing systems
• Strong knowledge of digital transformation to a Cloud Native architecture, On-Prem, Public Cloud, Provisioning Automation, and Containers
• Knowledge of VMware, Local Area Networking, Ethernet, TCP/IP and general networking
• Familiarity with AWS, Azure, GCP, containers, k8s and microservices architectures a plus
• Curiosity and passion around technology and explaining and showing new technology platforms and concepts to customers
• Familiarity with storage-intensive applications and their requirements such as structured databases (SQL, Oracle) is highly desirable
• Excellent verbal and written interpersonal skills

#LI-REMOTE

#LI-JL4

What you'll be doing:

Client Partnership & Implementation

• Own and manage an enterprise client portfolio as primary technical advisor
• Deliver seamless implementations from kickoff through go-live, coordinating internal teams and ensuring timely deployment
• Develop deep knowledge of each client's goals and translate them into actionable plans with measurable results
• Engage clients regularly via Zoom, email, phone, and on-site visits to strengthen relationships and ensure alignment

Adoption & Value Realization

• Drive product adoption with measurable improvements in usage metrics and client health scores
• Conduct technical assessments of API implementations and lead quarterly optimization sessions
• Guide clients on product integrations and troubleshooting in collaboration with Implementation Engineer and Support
• Serve as the first technical point of contact for enterprise clients during implementation and post–go-live, owning technical triage and driving resolution with Implementation and Support.
• Educate clients on best practices to maximize value from Symmetry's solutions

Client Health & Retention

• Monitor client health scores, usage metrics, and interaction to identify risks early and implement mitigation plans
• Provide prompt, professional responses to inquiries ensuring fast resolution and strong confidence
• Support renewal readiness and risk mitigation in partnership with Account Manager

Operational Excellence

• Identify process improvements that reduce implementation time and increase team capacity
• Leverage AI tools and automation to streamline reporting, communication, and coordination
• Maintain thorough documentation in CRM and ticketing systems
• Collaborate with Sales, Product, Engineering, and Support to address issues and drive continuous improvement

Experience & Requirements:

Required Background:

• Bachelor's degree or equivalent combination of education and experience
• 5+ years in Client Success, Account Management, or Implementation Management in B2B SaaS
• Proven track record managing enterprise portfolios and guiding retention, adoption, and satisfaction
• Experience project managing complex software implementations from kickoff through go-live
• Technical aptitude to understand API/SDK integrations, conduct assessments, and troubleshoot issues
• Track record leveraging data and metrics to drive client outcomes and operational efficiency
• Experience in payroll, HR tech, or compliance technology strongly preferred

Core Skills & Attributes:

• Proven technical acumen with ability to translate capabilities into business value
• Extraordinary relationship-building skills to advise enterprise stakeholders on technical and business outcomes
• Outstanding communication skills with ability to simplify complex technical concepts
• Proactive, ownership-driven mindset with accountability for results
• Keen analytical and critical thinking with comfort in qualitative and quantitative analysis
• Great organizational and project management skills managing multiple priorities
• Client-first orientation committed to delivering measurable value
• Collaborative team player thriving in cross-functional partnerships
• Demonstrated ability to leverage AI and automation for efficiency
• Continuous learning mindset staying current on product innovations

Technology Experience:

• Comprehension of API/SDK architecture, RESTful APIs, and integration concepts
• Ability to read API documentation and guide clients through technical implementation
• Experience with API testing tools (Postman or similar) for client troubleshooting
• Proficiency with CRM systems (NetSuite, Salesforce, or comparable)
• Experience with customer success platforms (Catalyst, Gainsight, ChurnZero, or similar)
• Working knowledge of project management and ticketing systems (Jira, Asana, Zendesk, or comparable)
• Proficiency with Google Workspace (Slides and Sheets including formulas and data analysis)
• Experience with virtual meeting platforms (Zoom, Microsoft Teams, or similar)
• Experience with generative AI tools (ChatGPT, Gemini, or comparable) and building AI agents
• Project management certification (PMP, CAPM, Google Project Management) is a plus
• API fundamentals certification (Postman Student Expert or equivalent) is a plus

Compensation Details

Our cash compensation amount for this role is targeted at $121,000/yr- $149,000/yr in Scottsdale. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above. 

About the role

At Applied Intuition, you will:

• Develop, integrate, and adapt cutting-edge AI/ML algorithms running on the perception autonomy stack to collect relevant information across a suite of platform sensors
• Create interfacing software to autonomously control sensors (e.g., EO, IR, acoustics, radar, and RF)
• Collaborate across the sensor, tracking, and autonomy teams to ensure seamless deployment of heterogeneous platform swarms in on-site DoD testing and demonstration events
• Deploy containerized solutions to embedded Linux devices, leveraging computer-in-the-loop testing and profiling, and efficiently collecting performance data
• Interact with the DoD customer to understand their use cases, requirements, and triage needs during field events to deliver a superior customer experience
• Work closely with our existing team to internally triage technical problems and scope
• Carefully communicate and document ongoing work to ensure internal flexibility in a fast paced environment as well as clarify progress with external customers
• Drive execution of simulation tooling to playback sensors, platforms, and autonomy in post processing field test analysis
• Implement improvement plans for future integration efforts based on simulation analysis and customer feedback

We're looking for someone who has:

• MS or PhD in Electrical Engineering, Computer Engineering, Robotic Engineering, Computer Science, Optimization, or equivalent OR 5+ years of relevant experience working with sensor algorithms, hardware, and HIL software integration
• Experience with multiple sensor modalities (e.g., EO, IR, lidar, radar, sonar, acoustics, etc.)Core understanding of sensor physics and sensor control parameters
• Experience training and deploying ML algorithms (python, pytorch, tensorflow) onto integrated systems (onnx, C++ models)
• Familiarity with tracking basics (e.g., Kalman filters) and optimal sensor fusion
• Experience working comfortably in Linux and Docker
• Prior experience with remote software development, ability to handle and process large datasets, and learn new software and algorithms as needed with little supervision

Travel Requirements:

• Must be willing to travel as projects requires, usually for SW/HW integration and/or demonstrations; estimated average travel is every 1-2 months for 2-5 days (10-20%)
• Travel-adverse candidates are encouraged to inquire about relocation assistance to HQ in Poway, CA

Security Requirements:

• Must be a U.S. Citizen
• Must hold or be eligible to obtain and maintain a U.S. security clearance

For more information about U.S. security clearances: click here.

Nice to have:

• Proficiency with modern C++ development (2011, 2017, 2020, smart pointers, etc.), CMAKE, Python and Bash
• PhD in computer science or electrical engineering with AI/ML focus
• Experience with robotic swarm or multi-agent systems and optimization   
• Strong tracking and sensor fusion background
• Current U.S. SECRET security clearance

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $140,000 to $220,000 USD annually.

About the role

At Applied Intuition, you will:

• Develop, integrate, and adapt cutting-edge AI/ML algorithms running on the perception autonomy stack to collect relevant information across a suite of platform sensors
• Create interfacing software to autonomously control sensors (e.g., EO, IR, acoustics, radar, and RF)
• Collaborate across the sensor, tracking, and autonomy teams to ensure seamless deployment of heterogeneous platform swarms in on-site DoD testing and demonstration events
• Deploy containerized solutions to embedded Linux devices, leveraging computer-in-the-loop testing and profiling, and efficiently collecting performance data
• Interact with the DoD customer to understand their use cases, requirements, and triage needs during field events to deliver a superior customer experience
• Work closely with our existing team to internally triage technical problems and scope
• Carefully communicate and document ongoing work to ensure internal flexibility in a fast paced environment as well as clarify progress with external customers
• Drive execution of simulation tooling to playback sensors, platforms, and autonomy in post processing field test analysis
• Implement improvement plans for future integration efforts based on simulation analysis and customer feedback

We're looking for someone who has:

• MS or PhD in Electrical Engineering, Computer Engineering, Robotic Engineering, Computer Science, Optimization, or equivalent OR 5+ years of relevant experience working with sensor algorithms, hardware, and HIL software integration
• Experience with multiple sensor modalities (e.g., EO, IR, lidar, radar, sonar, acoustics, etc.)Core understanding of sensor physics and sensor control parameters
• Experience training and deploying ML algorithms (python, pytorch, tensorflow) onto integrated systems (onnx, C++ models)
• Familiarity with tracking basics (e.g., Kalman filters) and optimal sensor fusion
• Experience working comfortably in Linux and Docker
• Prior experience with remote software development, ability to handle and process large datasets, and learn new software and algorithms as needed with little supervision

Travel Requirements:

• Must be willing to travel as projects requires, usually for SW/HW integration and/or demonstrations; estimated average travel is every 1-2 months for 2-5 days (10-20%)
• Travel-adverse candidates are encouraged to inquire about relocation assistance to HQ in Poway, CA

Security Requirements:

• Must be a U.S. Citizen
• Must hold or be eligible to obtain and maintain a U.S. security clearance

For more information about U.S. security clearances: click here.

Nice to have:

• Proficiency with modern C++ development (2011, 2017, 2020, smart pointers, etc.), CMAKE, Python and Bash
• PhD in computer science or electrical engineering with AI/ML focus
• Experience with robotic swarm or multi-agent systems and optimization   
• Strong tracking and sensor fusion background
• Current U.S. SECRET security clearance

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $140,000 to $220,000 USD annually.

Brain Corp is a San Diego, California, USA-based AI company creating transformative core technology for the robotics industry. Our purpose is to create autonomous technology that helps the real world work better. Brain's robotic and AI solutions help retailers ensure that the right product is on the right shelf at the right price, in a clean environment. Through the BrainOS® Robotics Platform, which powers the largest global fleet of the Autonomous Mobile Robots (AMRs) in operation in commercial public spaces, Brain Corp delivers insightful and efficient automated solutions in both commercial floor cleaning and inventory management, empowering organizations and their employees to achieve more. Brain Corp currently powers more than 30,000 AMRs, representing the largest fleet of its kind in the world. Brain Corp is funded by the SoftBank Vision Fund, Clearbridge, and Qualcomm Ventures.

Position Overview: 

As a member of the Customer Engineering team, the Software Engineer will be working on pilots of a newly launched product and will help to solve complex problems in the retail automation space. The performance of our detections and recognitions is foundation to the value we deliver to our customers. As a core member of our engineering team, you will work with our world-class team of engineers and scientists to build and apply the BrainOS platform for the next generation of intelligent machines.  Your experience will be pivotal in advancing our mission of making the real world work better.

Essential Job Functions:

• Build and review performance metrics and dashboards of the production and/or pilot fleet as a key indicator of customer experience, and product performance
• Analyze trends and identify recommendations in product performance for improvements in our model training pipeline and operations
• Develop code and deliver software features/functionality that increases customer value and product scalability
• Increase the agility/ software release frequency of the team and organization through code refactoring, simplification, and removal
• Coordinate with cross-functional areas of expertise including hardware, firmware, platform, user experience, quality, cloud, autonomy and Applied ML engineering to deliver world-class customer value
• Remain up to date with developments across platform, AI, autonomy, navigation, and other robots, in order to leverage and contribute towards software innovation across all products

Education and/or Work Experience Requirements:

• Bachelor’s degree in computer science, software engineering, or a related field
• 0-2 years of demonstrated experience in software development 

Required Knowledge, Skills, Abilities, and Other Characteristics:

• Experience writing C++ (11+) and/or Python applications for embedded systems
• Experience building and evaluating computer vision models for object detection and recognition
• Solid understanding of design patterns, data structures, and advanced programming techniques
• Excellent verbal and written communication skills in a multiple internal and external stakeholder environment
• Strong analytical skills that enable data-driven decisions and prioritization
• Experience with soft real-time and multi-threaded systems

Things that Make a Difference:

• Experience designing and developing robotic systems using robotics frameworks, including ROS, and existing libraries and tools
• Experience with path planning, AI algorithms, navigation algorithms, or robot behavior systems
• Experience with continuous integration, deployment and release management tools
• Experience with Agile and Scrum methodology
• Desire to constantly learn, receive and act on feedback, and share knowledge

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Essential functions may require maintaining the physical condition necessary for sitting, walking or standing for periods of time; operating a computer and keyboard; talk and hear at normal room levels; using hands to finger, grasp, and feel; repetitive motion; close visual acuity to prepare and analyze data and figures; transcribing; viewing a computer terminal; extensive reading; lift, push, carry, or pull up to 20 pounds.

Work Environment:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The noise level in the work environment is usually quiet to moderate. Employees are exposed to the typical office environment with computers, printers and telephones.

Salary Range and Benefits:

The anticipated salary for candidates who will work in San Diego, California is $123,000. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to the type and length of experience within the job, type and length of experience within the industry, education, etc. Brain Corp is a multi-state employer and this salary range may not reflect positions that work in other states.

In addition to base pay, our competitive total rewards package consists of:

• A discretionary annual target bonus
• Stock options
• 401(k) plan with match (no waiting period and immediate vesting)
• Comprehensive suite of insurance benefits for employees (and their families) to include a variety of medical plan options (including an HSA with employer contribution), dental, vision, life and disability insurance, Employee Assistance Program (EAP), Legal/Identity support plans, pet insurance.
• Access to Flexible Spending Accounts (Medical and Dependent Care)
• Generous paid time off including flexible vacation, Paid Sick Leave, time off for volunteering in the community, 10 paid company holidays, and a winter company shutdown

Additional Perks include:

• Daily on-site lunch available in the San Diego office
• On-campus gym including pool and tennis courts in the San Diego office
• Opportunities to connect with colleagues including monthly game nights, hikes, wellness challenges, and community events 
• Internal continuous learning events 
• Opportunities to share your own interests and hobbies with the Company

Brain Corp is a San Diego, California, USA-based AI company creating transformative core technology for the robotics industry. Our purpose is to create autonomous technology that helps the real world work better. Brain's robotic and AI solutions help retailers ensure that the right product is on the right shelf at the right price, in a clean environment. Through the BrainOS® Robotics Platform, which powers the largest global fleet of the Autonomous Mobile Robots (AMRs) in operation in commercial public spaces, Brain Corp delivers insightful and efficient automated solutions in both commercial floor cleaning and inventory management, empowering organizations and their employees to achieve more. Brain Corp currently powers more than 30,000 AMRs, representing the largest fleet of its kind in the world. Brain Corp is funded by the SoftBank Vision Fund, Clearbridge, and Qualcomm Ventures.

Named a top workplace by the San Diego Union Tribune and USA today in 2025, we make life-changing impacts through innovation, helping workers globally unlock thier abilties in orchestration with intelligent machinges.

Position Overview: 

As a Senior Autonomy Engineer on our R&D team, you'll help define the next generation of software that lets robots perceive, learn, and act in unstructured indoor environments. You'll work across the modern autonomy stack — from learned perception and prediction to mapping and motion planning — and ship capabilities that generalize across our fleet. We're looking for someone equally comfortable reading a fresh arXiv paper, writing production C++/Python, and debugging behavior on a real robot in the lab. You'll help set technical direction, raise the bar on engineering quality, and mentor others on the team.

Essential Job Functions:

• Design, train, and deploy machine learning systems for perception, SLAM, prediction, and motion planning that enable safe navigation around people and obstacles.
• Build and improve learned components — including transformer-based perception, vision-language models for scene understanding, diffusion or imitation-learning policies, and neural/Gaussian-splatting approaches to mapping — and integrate them with classical estimation and planning where it makes sense.
• Translate state-of-the-art research (papers, open-source releases, conference talks) into production-quality implementations on the robot.
• Develop data engines and evaluation infrastructure that turn fleet logs into training data, regression tests, and shipped improvements.
• Own features end-to-end: from prototype, through sim and on-robot validation, to fleet rollout, with measurement of real-world impact.
• Improve runtime performance of perception, mapping, and planning on embedded GPU/accelerator hardware (quantization, distillation, kernel work where warranted).
• Contribute to internal frameworks, simulation tooling, and developer experience that compound team velocity.
• Provide guidance and mentorship to engineers across robotics, ML, and the software systems that support them.

Education and/or Work Experience Requirements:

• Master’s Degree. or Ph.D. in Computer Science, Robotics, Electrical Engineering, or a related field — or equivalent demonstrated experience.
• 5+ years of relevant industry or research experience building autonomy, perception, or ML systems 
• Strong fluency in Python and C++ in a Linux environment.
• Demonstrated track record of taking research ideas and papers into deployed implementations.
• Depth in one or more of: machine learning (supervised, self-supervised, imitation, RL), SLAM and state estimation, motion planning, or 3D perception.

Required Knowledge, Skills, Abilities, and Other Characteristics:

• Hands-on experience with PyTorch (and/or JAX), modern training pipelines, and contemporary architectures (transformers, diffusion models, vision-language-action models).
• Experience designing robotic systems with ROS 2 (or comparable middleware) and contemporary simulation tools such as Isaac Sim, MuJoCo, or Gazebo.
• Comfort with the full ML lifecycle: data curation and labeling strategy, large-scale training, offline and online evaluation, and continuous deployment to production hardware.
• Solid systems and software architecture instincts; pragmatism about when a learned approach beats a classical one and vice versa.
• Familiarity with modern engineering practices: CI/CD, code review, observability, and iterative delivery (i.e. Agile, Scrum).
• Bonus: Contributions to open-source robotics or ML projects, publications at top venues (CoRL, RSS, ICRA, NeurIPS, CVPR, ICML), or experience with on-device acceleration (TensorRT, ONNX, custom CUDA kernels).

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Essential functions may require maintaining the physical condition necessary for sitting, walking or standing for periods of time; operating a computer and keyboard; talk and hear at normal room levels; using hands to finger, grasp, and feel; repetitive motion; close visual acuity to prepare and analyze data and figures; transcribing; viewing a computer terminal; extensive reading; lift, push, carry, or pull up to 20 pounds. 

Work Environment:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The noise level in the work environment is usually quiet to moderate. Employees are exposed to the typical office environment with computers, printers and telephones.

Salary Range:

The anticipated salary range for candidates who will work in San Diego, California is $151,545 to $183,449. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to the type and length of experience within the job, type and length of experience within the industry, education, etc. Brain Corp is a multi-state employer and this salary range may not reflect positions that work in other states.

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Brain Corp is a San Diego, California, USA-based AI company creating transformative core technology for the robotics industry. Our purpose is to create autonomous technology that helps the real world work better. Brain's robotic and AI solutions help retailers ensure that the right product is on the right shelf at the right price, in a clean environment. Through the BrainOS® Robotics Platform, which powers the largest global fleet of the Autonomous Mobile Robots (AMRs) in operation in commercial public spaces, Brain Corp delivers insightful and efficient automated solutions in both commercial floor cleaning and inventory management, empowering organizations and their employees to achieve more. Brain Corp currently powers more than 30,000 AMRs, representing the largest fleet of its kind in the world. Brain Corp is funded by the SoftBank Vision Fund, Clearbridge, and Qualcomm Ventures.

Named a top workplace by the San Diego Union Tribune and USA today in 2025, we make life-changing impacts through innovation, helping workers globally unlock thier abilties in orchestration with intelligent machinges.

Position Overview:

As a Staff Autonomy Engineer on our R&D team, you'll be one of the technical leaders setting direction for the AI that powers our robots. This is a hands-on technical leadership role: you'll architect systems that span perception, mapping, prediction, and planning; drive multi-quarter initiatives from research idea to fleet rollout; and raise the technical bar across the org. You'll work across team boundaries, partnering with engineering managers, product, and hardware to make decisions that ripple through the roadmap. You'll also be someone the team learns from — through code review, design review, mentorship, and the standards you set in your own work. We expect Staff engineers to be comfortable in deep technical waters across the modern autonomy stack: foundation models, learned policies, classical estimation and planning, and the production systems that knit them together.

Essential Job Functions:

Technical Leadership and Direction

• Set technical direction for major areas of the autonomy stack — perception, SLAM, prediction, planning, or the ML systems underneath them — and own the multi-quarter roadmaps that follow.
• Lead large, ambiguous projects end-to-end: scope the problem, pick the approach, drive execution across multiple engineers, and ship to the fleet.
• Make and defend the build-vs-borrow, learn-vs-classical, and depth-vs-breadth decisions that shape what the team works on for the next year.
• Partner with engineering managers, product, and hardware on staffing, sequencing, and risk; serve as a senior technical voice in cross-functional planning.
• Represent the team externally where useful — publications, conferences, recruiting, customer technical conversations.

Technical Excellence

• Architect and contribute to systems spanning learned perception (transformer-based detectors, VLMs for scene understanding), neural and classical SLAM (including Gaussian splatting and implicit representations where they earn their keep), behavior prediction, and motion planning.
• Drive adoption of modern learning approaches — imitation learning, diffusion policies, vision-language-action models, RL where appropriate — and integrate them with the classical components that still do real work in production.
• Build and improve the data engines and evaluation infrastructure that turn fleet logs into training data, regression suites, and shipped wins.
• Lead performance and deployment work on embedded compute: model optimization, quantization, distillation, and runtime engineering on GPU/accelerator hardware.
• Stay current with the literature and translate the parts that matter into our codebase — and recognize the larger fraction that doesn't.

Mentorship, Hiring, and Culture

• Mentor Senior and mid-level engineers; raise the bar through design review, code review, and the technical standards you model.
• Play a leading role in hiring: shape interview loops, calibrate decisions, close strong candidates, and own onboarding for new hires on the team.
• Champion engineering practices that compound — testing, observability, documentation, simulation infrastructure, developer tooling — and invest in the parts of the org that enable everyone else to ship faster.

Education and/or Work Experience Requirements:

• Master’s Degree. or Ph.D. in Computer Science, Robotics, Electrical Engineering, or a related field — or equivalent demonstrated experience.
• 7+ years of industry experience in embodied AI (robotics, self-driving, drones, or similar), with at least some of that time in a senior or lead capacity.
• Deep expertise in two or more of: machine learning, SLAM and state estimation, robotic perception, motion planning.
• Strong fluency in C++ and Python in a Linux environment.
• Demonstrated history of taking research ideas into production at meaningful scale.

Required Knowledge, Skills, Abilities, and Other Characteristics:

• Deep, hands-on expertise with PyTorch (and/or JAX), modern training infrastructure, and contemporary architectures (transformers, diffusion models, VLA/foundation models).
• Extensive experience designing robotic systems with ROS 2 (or comparable middleware) and modern simulation environments such as Isaac Sim, MuJoCo, or Gazebo.
• Strong record of shipping ML-driven features to production hardware — including the post-launch reality of monitoring, debugging weird failure modes, rollback, and on-call.
• Excellent systems and architectural judgment; able to defend a position and equally able to update it when the evidence changes.
• Modern software engineering fundamentals: CI/CD, code review culture, observability, and iterative delivery.
• Excellent written and verbal communication — design docs that set direction, talks that bring people along, and code that other engineers want to read.
• Bonus: experience with on-device acceleration (TensorRT, ONNX, custom CUDA kernels), large-scale data infra, or leading distributed teams.
• Bonus:Track record of research impact (publications at venues like CoRL, RSS, ICRA, NeurIPS, CVPR, ICML — or open-source equivalents) and of converting research into product.

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Essential functions may require maintaining the physical condition necessary for sitting, walking or standing for periods of time; operating a computer and keyboard; talk and hear at normal room levels; using hands to finger, grasp, and feel; repetitive motion; close visual acuity to prepare and analyze data and figures; transcribing; viewing a computer terminal; extensive reading; lift, push, carry, or pull up to 20 pounds. 

Work Environment:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The noise level in the work environment is usually quiet to moderate. Employees are exposed to the typical office environment with computers, printers and telephones.

Salary Range:

The anticipated salary range for candidates who will work in San Diego, California is $169,525 to $205,215. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to the type and length of experience within the job, type and length of experience within the industry, education, etc. Brain Corp is a multi-state employer and this salary range may not reflect positions that work in other states.

In addition to base pay, our competitive total rewards package consists of:

• A discretionary annual target bonus
• Stock options
• 401(k) plan with match (no waiting period and immediate vesting)
• Comprehensive suite of insurance benefits for employees (and their families) to include a variety of medical plan options (including an HSA with employer contribution), dental, vision, life and disability insurance, Employee Assistance Program (EAP), Legal/Identity support plans, pet insurance.
• Access to Flexible Spending Accounts (Medical and Dependent Care)
• Generous paid time off including flexible vacation, Paid Sick Leave, time off for volunteering in the community, 10 paid company holidays, and a winter company shutdown

Additional Perks include:

• Daily on-site lunch available in the San Diego office
• On-campus gym including pool and tennis courts in the San Diego office
• Opportunities to connect with colleagues including monthly game nights, hikes, wellness challenges, and community events 
• Internal continuous learning events 
• Opportunities to share your own interests and hobbies with the Company

Senior AI Data Engineer (Full-time)

Remote in CA, TX, NC, WA, ID, NV, AZ, CO, KS, AR, LA, AL, GA, FL, SC, TN, VA, MD, NJ, DE, IL, WI, MI, OH, MA, PA, NH, CT

Cortica is looking for a Senior AI Data Engineer to join its growing team!

The Senior AI Data Engineer will serve as both architect and builder of our data ecosystem. Every initiative will follow a complete engineering lifecycle: gathering stakeholder requirements, designing the solution, building and testing it, and shipping it to production. This role will work across data lakes, analytics pipelines, and lightweight application development— the multi-disciplinary data equivalent of a full-stack developer.

The Senior AI Data Engineer will work closely with the data science, finance, and clinical operations teams to design intelligent, automated data solutions that power care decisions, financial planning, and operational efficiency. AI augmentation is not optional — it is the standard working mode.

Cortica is a rapidly growing healthcare company pioneering the most effective treatment methods for children with neurodevelopmental differences. Our mission is to design and deliver life-changing care – one child, one family, one community at a time. Ultimately, we envision a world that cultivates the full potential of every child. At Cortica, every team member is instrumental in helping us achieve our mission!

Our culture and values guide how we work and treat one another. Cortica celebrates diversity and fosters an inclusive environment, seeking ideas and opinions from everyone on the team. We safeguard equal rights and respect for all individuals, regardless of race, color, religion, sex, national origin, age, disability, creed, genetic information, sexual orientation, gender identity or expression, ancestry, veteran status or other applicable, legally protected characteristics. All Cortica employment decisions are made based on an individual’s qualifications and ability to successfully perform the job responsibilities.

What will you do?

Full Lifecycle Project Ownership:

• Engage stakeholders directly to gather, clarify, and document project requirements.
• Translate requirements into architected data solutions: choose the right storage, pipeline, modeling, and delivery approach for each problem.
• Own testing end-to-end — unit tests, data quality checks, reconciliation, and integration tests before anything reaches production.
• Deploy solutions to production and monitor post-deployment health, iterating rapidly based on real-world feedback.

AI-First Data Engineering: 

• Run parallel AI coding sessions (Claude Code, Cursor, Codex) across different facets of a pipeline simultaneously — orchestrate, verify, and integrate the outputs.
• Build and maintain context files (CLAUDE.md equivalents) for data projects that encode schema conventions, pipeline patterns, and institutional knowledge — making every future AI session smarter.
• Design verification loops: automated data quality checks, dbt tests, CI hooks, and pipeline monitors that give AI agents concrete feedback on correctness. • Build MCP (Model Context Protocol) or equivalent integrations to connect AI agents directly to Snowflake, Amazon Athena, Postgresql, MySql, Power BI APIs, Salesforce, and internal tooling.
• Prefer frontier models for complex architectural decisions and rely on AI acceleration to dramatically increase engineering throughput.

Data Platform & Pipeline Engineering:

• Design and build complex, reliable data pipelines ingesting from AWS, Azure, Salesforce, MuleSoft, and multiple third-party APIs into our AWS Data Lake and Snowflake warehouse.
• Implement and evolve data models using Kimball methodology to support financial, operational, and clinical analytics.
• Optimize pipeline performance, manage data quality, and perform root-cause analysis on data anomalies — internal and external. • Develop and maintain orchestration workflows in Python, and AWS Glue.
• Continuously evolve the data schema as business and engineering requirements change.

Analytics & Reporting Enablement:

• Build and support Power BI data models and reports; empower analytics team members to self-serve on a reliable data foundation.
• Work with data analysts and data scientists to build reusable, well-documented pipeline components they can extend independently.
• Deliver data products that drive clinical care decisions, financial planning, and operational performance improvements.

Application Development:

• Build lightweight internal data applications and tooling where needed; data entry interfaces, operational dashboards, automation scripts that bridge the gap between data pipelines and end users.
• Design for agentic workflows: build AI-powered data tools accessible via web interfaces or Slack that surface insights proactively.
• Integrate with Salesforce Health Cloud and other platforms using APIs and event-driven patterns.

Security, Governance & Collaboration: 

• Ensure data security and HIPAA compliance in all pipeline and application work. Partner with IT to enforce data governance standards.
• Document decisions, tradeoffs, and architecture clearly so that future engineers (and AI agents) can build on your work effectively.
• Collaborate across IT, finance, clinical operations, and data science — acting as the connective tissue between data infrastructure and business outcomes.

We’d love to hear from you if:

• You have 5+ years of hands-on data engineering experience, including building and operating production data pipelines.
• You have expert-level Python skills for ETL, pipeline orchestration, and automation.
• You possess deep SQL proficiency — query optimization, data modeling, stored procedures.
• You bring 2+ years’ experience working with AI first development workflows.
• You bring 4+ years’ experience with the following AWS (S3, Glue, Lambda, Redshift), and/or Azure big data services.
• You have 1+ year of experience with Snowflake.
• You have 2+ years of experience with orchestration frameworks.
• You have 2+ years of Salesforce experience with Apex and configurations.
• You’re experienced with Kimball dimensional modeling — you've built star schemas and conformed dimensions in production.
• You have Power BI (or equivalent BI tool) experience — data model design and report development.
• You have API integration experience — REST, GraphQL, event streaming (Kafka, Kinesis, or similar).
• You possess application development literacy — comfortable building lightweight web tooling (Python/Flask, Node, or similar) to complement data products.
• You reside in one of the following states: CA, TX, NC, WA, ID, NV, AZ, CO, KS, AR, LA, AL, GA, FL, SC, TN, VA, MD, NJ, DE, IL, WI, MI, OH, MA, PA, NH, CT

Your Compensation & Benefits

Cortica cares deeply about the well-being of each member of our team, and we have created a passionate, caring, and growth-minded culture that helps teammates thrive! As a Cortica teammate, we’ll support your well-being through medical, dental, and vision insurance, a 401(k) plan with company matching and rapid vesting, paid holidays and wellness days, life insurance, disability insurance options, tuition reimbursements for professional development and continuing education, and referral bonuses. We value you and the experience you bring to your role, and are proud to provide you with a compensation and benefits package designed to enhance all aspects of your life.

The base pay range for this opening is $160,000 to $200,000. According to your skill level, relevant experience, education level, and location, you will receive compensation that fits appropriately within the range. EOE. This posting is not meant to be an exhaustive list of the role and its duties.

Privacy Notice 
Cortica is committed to protecting your personal information in compliance with applicable federal and state laws. Please review our Privacy Notice to understand how your data is collected, used, and protected. 

E-Verify Participation 
This employer participates in E-Verify. Click here to view the E-Verify Poster and your Right to Work. 
Este empleador participa en E-Verify. Este empleador participa en E-Verify. Haga clic aquí para ver el cartel de E-Verify y su derecho a trabajar. 

#LI-NF1

#LI-Remote

Senior AI Data Engineer (Full-time)

Remote in CA, TX, NC, WA, ID, NV, AZ, CO, KS, AR, LA, AL, GA, FL, SC, TN, VA, MD, NJ, DE, IL, WI, MI, OH, MA, PA, NH, CT

Cortica is looking for a Senior AI Data Engineer to join its growing team!

The Senior AI Data Engineer will serve as both architect and builder of our data ecosystem. Every initiative will follow a complete engineering lifecycle: gathering stakeholder requirements, designing the solution, building and testing it, and shipping it to production. This role will work across data lakes, analytics pipelines, and lightweight application development— the multi-disciplinary data equivalent of a full-stack developer.

The Senior AI Data Engineer will work closely with the data science, finance, and clinical operations teams to design intelligent, automated data solutions that power care decisions, financial planning, and operational efficiency. AI augmentation is not optional — it is the standard working mode.

Cortica is a rapidly growing healthcare company pioneering the most effective treatment methods for children with neurodevelopmental differences. Our mission is to design and deliver life-changing care – one child, one family, one community at a time. Ultimately, we envision a world that cultivates the full potential of every child. At Cortica, every team member is instrumental in helping us achieve our mission!

Our culture and values guide how we work and treat one another. Cortica celebrates diversity and fosters an inclusive environment, seeking ideas and opinions from everyone on the team. We safeguard equal rights and respect for all individuals, regardless of race, color, religion, sex, national origin, age, disability, creed, genetic information, sexual orientation, gender identity or expression, ancestry, veteran status or other applicable, legally protected characteristics. All Cortica employment decisions are made based on an individual’s qualifications and ability to successfully perform the job responsibilities.

What will you do?

Full Lifecycle Project Ownership:

• Engage stakeholders directly to gather, clarify, and document project requirements.
• Translate requirements into architected data solutions: choose the right storage, pipeline, modeling, and delivery approach for each problem.
• Own testing end-to-end — unit tests, data quality checks, reconciliation, and integration tests before anything reaches production.
• Deploy solutions to production and monitor post-deployment health, iterating rapidly based on real-world feedback.

AI-First Data Engineering: 

• Run parallel AI coding sessions (Claude Code, Cursor, Codex) across different facets of a pipeline simultaneously — orchestrate, verify, and integrate the outputs.
• Build and maintain context files (CLAUDE.md equivalents) for data projects that encode schema conventions, pipeline patterns, and institutional knowledge — making every future AI session smarter.
• Design verification loops: automated data quality checks, dbt tests, CI hooks, and pipeline monitors that give AI agents concrete feedback on correctness. • Build MCP (Model Context Protocol) or equivalent integrations to connect AI agents directly to Snowflake, Amazon Athena, Postgresql, MySql, Power BI APIs, Salesforce, and internal tooling.
• Prefer frontier models for complex architectural decisions and rely on AI acceleration to dramatically increase engineering throughput.

Data Platform & Pipeline Engineering:

• Design and build complex, reliable data pipelines ingesting from AWS, Azure, Salesforce, MuleSoft, and multiple third-party APIs into our AWS Data Lake and Snowflake warehouse.
• Implement and evolve data models using Kimball methodology to support financial, operational, and clinical analytics.
• Optimize pipeline performance, manage data quality, and perform root-cause analysis on data anomalies — internal and external. • Develop and maintain orchestration workflows in Python, and AWS Glue.
• Continuously evolve the data schema as business and engineering requirements change.

Analytics & Reporting Enablement:

• Build and support Power BI data models and reports; empower analytics team members to self-serve on a reliable data foundation.
• Work with data analysts and data scientists to build reusable, well-documented pipeline components they can extend independently.
• Deliver data products that drive clinical care decisions, financial planning, and operational performance improvements.

Application Development:

• Build lightweight internal data applications and tooling where needed; data entry interfaces, operational dashboards, automation scripts that bridge the gap between data pipelines and end users.
• Design for agentic workflows: build AI-powered data tools accessible via web interfaces or Slack that surface insights proactively.
• Integrate with Salesforce Health Cloud and other platforms using APIs and event-driven patterns.

Security, Governance & Collaboration: 

• Ensure data security and HIPAA compliance in all pipeline and application work. Partner with IT to enforce data governance standards.
• Document decisions, tradeoffs, and architecture clearly so that future engineers (and AI agents) can build on your work effectively.
• Collaborate across IT, finance, clinical operations, and data science — acting as the connective tissue between data infrastructure and business outcomes.

We’d love to hear from you if:

• You have 5+ years of hands-on data engineering experience, including building and operating production data pipelines.
• You have expert-level Python skills for ETL, pipeline orchestration, and automation.
• You possess deep SQL proficiency — query optimization, data modeling, stored procedures.
• You bring 2+ years’ experience working with AI first development workflows.
• You bring 4+ years’ experience with the following AWS (S3, Glue, Lambda, Redshift), and/or Azure big data services.
• You have 1+ year of experience with Snowflake.
• You have 2+ years of experience with orchestration frameworks.
• You have 2+ years of Salesforce experience with Apex and configurations.
• You’re experienced with Kimball dimensional modeling — you've built star schemas and conformed dimensions in production.
• You have Power BI (or equivalent BI tool) experience — data model design and report development.
• You have API integration experience — REST, GraphQL, event streaming (Kafka, Kinesis, or similar).
• You possess application development literacy — comfortable building lightweight web tooling (Python/Flask, Node, or similar) to complement data products.
• You reside in one of the following states: CA, TX, NC, WA, ID, NV, AZ, CO, KS, AR, LA, AL, GA, FL, SC, TN, VA, MD, NJ, DE, IL, WI, MI, OH, MA, PA, NH, CT

Your Compensation & Benefits

Cortica cares deeply about the well-being of each member of our team, and we have created a passionate, caring, and growth-minded culture that helps teammates thrive! As a Cortica teammate, we’ll support your well-being through medical, dental, and vision insurance, a 401(k) plan with company matching and rapid vesting, paid holidays and wellness days, life insurance, disability insurance options, tuition reimbursements for professional development and continuing education, and referral bonuses. We value you and the experience you bring to your role, and are proud to provide you with a compensation and benefits package designed to enhance all aspects of your life.

The base pay range for this opening is $160,000 to $200,000. According to your skill level, relevant experience, education level, and location, you will receive compensation that fits appropriately within the range. EOE. This posting is not meant to be an exhaustive list of the role and its duties.

Privacy Notice 
Cortica is committed to protecting your personal information in compliance with applicable federal and state laws. Please review our Privacy Notice to understand how your data is collected, used, and protected. 

E-Verify Participation 
This employer participates in E-Verify. Click here to view the E-Verify Poster and your Right to Work. 
Este empleador participa en E-Verify. Este empleador participa en E-Verify. Haga clic aquí para ver el cartel de E-Verify y su derecho a trabajar. 

#LI-NF1

#LI-Remote

At Armis, our Sales Engineers (SE) serve as the linchpin of every prospect engagement. Working closely with our prospects to demonstrate the value of the Armis agentless platform via console demonstrations, proof-of-value deployments, and targeted training sessions.

What you'll do...

Work closely with our prospects to:

• Provide virtual and in-person technical demonstrations
• Deploy proof-of-value installations
• Lead technical training sessions based on POV findings
• Support marketing activities, conferences, speaking engagements
• Consistently and cogently address our prospects needs through astute verbal and written communication skills
• Thrive in a team-oriented culture through delivering a significant individual contribution while collaborating with and strengthening teammates
• Think critically, spanning the sales process through customer support, troubleshooting, and developing new use cases for internal and external consumption.
• Develop prospect facing documentation
• Expected to travel up to 40% of the time on average (can vary by region)

Education:

• BS degrees in computer science, MIS, or equivalent experience required

Experience:

• 5+ years experience in technical positions required (SE, Pre-Sales Engineer, Solutions Architect) ideally for a Cyber Security vendor
• 5+ years of experience in customer-facing or customer support positions
• Solid understanding of networking concepts and technologies
• A demonstrated track record of taking ownership of complex initiatives and producing successful outcomes
• Experience closing complex cyber security SaaS solutions with Enterprise Customers and supporting Sales AE's / RSM's.

Knowledge in one or more of the following:

• IoT, OT, IoMT
• Wireless technologies (WLCs, Meraki, Aruba, etc.)
• Linux Operating Systems
• Virtualized environments
• Network knowledge
• Utility Scripting (Python preferred)

What The Role Is

We are seeking a talented Senior Data Engineer to design, build, and maintain our data infrastructure supporting mission-critical energy operations. You'll work at the intersection of renewable energy and data, developing pipelines that process everything from real-time asset performance data to complex trading and risk analytics. This hybrid role offers the opportunity to make a direct impact on clean energy operations while working with a cutting-edge data stack including Snowflake, Dagster, dbt, Modal, and GitLab.

What You'll Be Doing

Analytics Infrastructure & Data Warehouse Management

• Design, deploy, and maintain scalable data infrastructure to support enterprise analytics and reporting needs
• Manage Snowflake instances, including performance tuning, security configuration, and capacity planning for growing data volumes
• Optimize query performance and resource utilization to control costs and improve processing speed

Data Pipeline Development & Orchestration

• Build and orchestrate complex ETL/ELT workflows using Dagster to ensure reliable, automated data processing for asset management and energy trading
• Develop robust data pipelines that handle high-volume, time-sensitive energy market data and asset generation and performance metrics
• Implement workflow automation and dependency management for critical business operations

Data Transformation & Analytics Support

• Develop and maintain dbt models to transform raw data into business-ready analytical datasets and dimensional models
• Create efficient SQL-based transformations for complex energy market calculations and asset performance metrics
• Support advanced analytics initiatives through proper data preparation and feature engineering

Data Quality & Governance

• Implement comprehensive data validation, testing, and monitoring frameworks to ensure accuracy and consistency across all energy and financial data assets
• Establish data lineage tracking and privacy controls to meet regulatory compliance requirements in the energy sector
• Develop alerting and monitoring systems for data pipelines, including error handling, SLA monitoring, and incident response

CI/CD & DevOps

• Lead continuous integration and deployment initiatives for Dagster and dbt pipelines, and Streamlit/Gradio application deployments to Linux servers
• Implement automated testing and deployment automation for data pipelines and analytics applications
• Manage version control and infrastructure as code practices

Cross-functional Collaboration

• Partner with Analytics Engineers, Data Scientists, and business stakeholders to understand requirements and deliver solutions
• Work closely with asset management and trading groups to ensure real-time data availability for market operations and risk calculations
• Collaborate with credit risk teams to develop data models supporting financial analysis and regulatory reporting
• Translate business requirements into technical solutions and communicate data insights to stakeholders

Documentation & Security

• Create and maintain technical documentation, data dictionaries, and onboarding materials for data assets
• Implement role-based access controls, data encryption, and security best practices across the data stack
• Monitor and optimize cloud infrastructure costs, implement resource allocation strategies, and provide cost forecasting

What You'll Bring

• Experience: 4+ years of hands-on data engineering experience in production environments
• Education: Bachelor's degree in Computer Science, Engineering, or a related field
• Data Orchestration: Proficiency in Dagster for pipeline scheduling, dependency management, and workflow automation; Airflow experience a plus
• Cloud Data Warehousing: Advanced-level Snowflake administration, including virtual warehouses, clustering, security, and cost optimization
• Data Transformation: Proficiency in dbt for data modeling, testing, documentation, and version control of analytical transformations
• Programming: Strong Python and SQL skills for data processing and automation
• CI/CD: 3+ years of experience with continuous integration and continuous deployment practices and tools; proficiency in GitLab CI/CD required (GitHub Actions experience a plus)
• Database Technologies: Advanced SQL skills, database design principles, and experience with multiple database platforms
• Cloud Platforms: Proficiency in AWS/Azure/GCP data services, storage solutions (S3, Azure Blob, GCS), and infrastructure as code
• Data Integration: Experience with APIs, various data connectors, and formats
• Data Security: Understanding of data security best practices, access controls, encryption, and role-based access management
• AI & LLM Proficiency: Practical experience integrating and leveraging large language models (e.g., OpenAI, Anthropic, or open-source models) within data workflows; ability to apply LLMs efficiently and securely, with awareness of data privacy boundaries, prompt injection risks, and responsible AI usage in production environments
• Problem-Solving: Strong analytical and troubleshooting skills with attention to detail
• Communication: Ability to work effectively with both technical and business stakeholders
• Work Style: Comfortable with a hybrid work environment (2-3 days in office); highly autonomous and self-directed with a strong work ethic and growth mindset; exceptional attention to detail; able to take ownership of projects end-to-end with minimal oversight

What Would Be Nice

• Experience in the energy, utilities, or financial services industries
• Knowledge of energy trading concepts, market data, or asset management
• Familiarity with data governance frameworks and regulatory compliance (SOX, GDPR, CCPA)
• Experience with infrastructure as code (Terraform, CloudFormation)

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

What The Role Is

We are seeking a talented Senior Data Engineer to design, build, and maintain our data infrastructure supporting mission-critical energy operations. You'll work at the intersection of renewable energy and data, developing pipelines that process everything from real-time asset performance data to complex trading and risk analytics. This hybrid role offers the opportunity to make a direct impact on clean energy operations while working with a cutting-edge data stack including Snowflake, Dagster, dbt, Modal, and GitLab.

What You'll Be Doing

Analytics Infrastructure & Data Warehouse Management

• Design, deploy, and maintain scalable data infrastructure to support enterprise analytics and reporting needs
• Manage Snowflake instances, including performance tuning, security configuration, and capacity planning for growing data volumes
• Optimize query performance and resource utilization to control costs and improve processing speed

Data Pipeline Development & Orchestration

• Build and orchestrate complex ETL/ELT workflows using Dagster to ensure reliable, automated data processing for asset management and energy trading
• Develop robust data pipelines that handle high-volume, time-sensitive energy market data and asset generation and performance metrics
• Implement workflow automation and dependency management for critical business operations

Data Transformation & Analytics Support

• Develop and maintain dbt models to transform raw data into business-ready analytical datasets and dimensional models
• Create efficient SQL-based transformations for complex energy market calculations and asset performance metrics
• Support advanced analytics initiatives through proper data preparation and feature engineering

Data Quality & Governance

• Implement comprehensive data validation, testing, and monitoring frameworks to ensure accuracy and consistency across all energy and financial data assets
• Establish data lineage tracking and privacy controls to meet regulatory compliance requirements in the energy sector
• Develop alerting and monitoring systems for data pipelines, including error handling, SLA monitoring, and incident response

CI/CD & DevOps

• Lead continuous integration and deployment initiatives for Dagster and dbt pipelines, and Streamlit/Gradio application deployments to Linux servers
• Implement automated testing and deployment automation for data pipelines and analytics applications
• Manage version control and infrastructure as code practices

Cross-functional Collaboration

• Partner with Analytics Engineers, Data Scientists, and business stakeholders to understand requirements and deliver solutions
• Work closely with asset management and trading groups to ensure real-time data availability for market operations and risk calculations
• Collaborate with credit risk teams to develop data models supporting financial analysis and regulatory reporting
• Translate business requirements into technical solutions and communicate data insights to stakeholders

Documentation & Security

• Create and maintain technical documentation, data dictionaries, and onboarding materials for data assets
• Implement role-based access controls, data encryption, and security best practices across the data stack
• Monitor and optimize cloud infrastructure costs, implement resource allocation strategies, and provide cost forecasting

What You'll Bring

• Experience: 4+ years of hands-on data engineering experience in production environments
• Education: Bachelor's degree in Computer Science, Engineering, or a related field
• Data Orchestration: Proficiency in Dagster for pipeline scheduling, dependency management, and workflow automation; Airflow experience a plus
• Cloud Data Warehousing: Advanced-level Snowflake administration, including virtual warehouses, clustering, security, and cost optimization
• Data Transformation: Proficiency in dbt for data modeling, testing, documentation, and version control of analytical transformations
• Programming: Strong Python and SQL skills for data processing and automation
• CI/CD: 3+ years of experience with continuous integration and continuous deployment practices and tools; proficiency in GitLab CI/CD required (GitHub Actions experience a plus)
• Database Technologies: Advanced SQL skills, database design principles, and experience with multiple database platforms
• Cloud Platforms: Proficiency in AWS/Azure/GCP data services, storage solutions (S3, Azure Blob, GCS), and infrastructure as code
• Data Integration: Experience with APIs, various data connectors, and formats
• Data Security: Understanding of data security best practices, access controls, encryption, and role-based access management
• AI & LLM Proficiency: Practical experience integrating and leveraging large language models (e.g., OpenAI, Anthropic, or open-source models) within data workflows; ability to apply LLMs efficiently and securely, with awareness of data privacy boundaries, prompt injection risks, and responsible AI usage in production environments
• Problem-Solving: Strong analytical and troubleshooting skills with attention to detail
• Communication: Ability to work effectively with both technical and business stakeholders
• Work Style: Comfortable with a hybrid work environment (2-3 days in office); highly autonomous and self-directed with a strong work ethic and growth mindset; exceptional attention to detail; able to take ownership of projects end-to-end with minimal oversight

What Would Be Nice

• Experience in the energy, utilities, or financial services industries
• Knowledge of energy trading concepts, market data, or asset management
• Familiarity with data governance frameworks and regulatory compliance (SOX, GDPR, CCPA)
• Experience with infrastructure as code (Terraform, CloudFormation)

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

What The Role Is

We are seeking a talented Senior Data Engineer to design, build, and maintain our data infrastructure supporting mission-critical energy operations. You'll work at the intersection of renewable energy and data, developing pipelines that process everything from real-time asset performance data to complex trading and risk analytics. This hybrid role offers the opportunity to make a direct impact on clean energy operations while working with a cutting-edge data stack including Snowflake, Dagster, dbt, Modal, and GitLab.

What You'll Be Doing

Analytics Infrastructure & Data Warehouse Management

• Design, deploy, and maintain scalable data infrastructure to support enterprise analytics and reporting needs
• Manage Snowflake instances, including performance tuning, security configuration, and capacity planning for growing data volumes
• Optimize query performance and resource utilization to control costs and improve processing speed

Data Pipeline Development & Orchestration

• Build and orchestrate complex ETL/ELT workflows using Dagster to ensure reliable, automated data processing for asset management and energy trading
• Develop robust data pipelines that handle high-volume, time-sensitive energy market data and asset generation and performance metrics
• Implement workflow automation and dependency management for critical business operations

Data Transformation & Analytics Support

• Develop and maintain dbt models to transform raw data into business-ready analytical datasets and dimensional models
• Create efficient SQL-based transformations for complex energy market calculations and asset performance metrics
• Support advanced analytics initiatives through proper data preparation and feature engineering

Data Quality & Governance

• Implement comprehensive data validation, testing, and monitoring frameworks to ensure accuracy and consistency across all energy and financial data assets
• Establish data lineage tracking and privacy controls to meet regulatory compliance requirements in the energy sector
• Develop alerting and monitoring systems for data pipelines, including error handling, SLA monitoring, and incident response

CI/CD & DevOps

• Lead continuous integration and deployment initiatives for Dagster and dbt pipelines, and Streamlit/Gradio application deployments to Linux servers
• Implement automated testing and deployment automation for data pipelines and analytics applications
• Manage version control and infrastructure as code practices

Cross-functional Collaboration

• Partner with Analytics Engineers, Data Scientists, and business stakeholders to understand requirements and deliver solutions
• Work closely with asset management and trading groups to ensure real-time data availability for market operations and risk calculations
• Collaborate with credit risk teams to develop data models supporting financial analysis and regulatory reporting
• Translate business requirements into technical solutions and communicate data insights to stakeholders

Documentation & Security

• Create and maintain technical documentation, data dictionaries, and onboarding materials for data assets
• Implement role-based access controls, data encryption, and security best practices across the data stack
• Monitor and optimize cloud infrastructure costs, implement resource allocation strategies, and provide cost forecasting

What You'll Bring

• Experience: 4+ years of hands-on data engineering experience in production environments
• Education: Bachelor's degree in Computer Science, Engineering, or a related field
• Data Orchestration: Proficiency in Dagster for pipeline scheduling, dependency management, and workflow automation; Airflow experience a plus
• Cloud Data Warehousing: Advanced-level Snowflake administration, including virtual warehouses, clustering, security, and cost optimization
• Data Transformation: Proficiency in dbt for data modeling, testing, documentation, and version control of analytical transformations
• Programming: Strong Python and SQL skills for data processing and automation
• CI/CD: 3+ years of experience with continuous integration and continuous deployment practices and tools; proficiency in GitLab CI/CD required (GitHub Actions experience a plus)
• Database Technologies: Advanced SQL skills, database design principles, and experience with multiple database platforms
• Cloud Platforms: Proficiency in AWS/Azure/GCP data services, storage solutions (S3, Azure Blob, GCS), and infrastructure as code
• Data Integration: Experience with APIs, various data connectors, and formats
• Data Security: Understanding of data security best practices, access controls, encryption, and role-based access management
• AI & LLM Proficiency: Practical experience integrating and leveraging large language models (e.g., OpenAI, Anthropic, or open-source models) within data workflows; ability to apply LLMs efficiently and securely, with awareness of data privacy boundaries, prompt injection risks, and responsible AI usage in production environments
• Problem-Solving: Strong analytical and troubleshooting skills with attention to detail
• Communication: Ability to work effectively with both technical and business stakeholders
• Work Style: Comfortable with a hybrid work environment (2-3 days in office); highly autonomous and self-directed with a strong work ethic and growth mindset; exceptional attention to detail; able to take ownership of projects end-to-end with minimal oversight

What Would Be Nice

• Experience in the energy, utilities, or financial services industries
• Knowledge of energy trading concepts, market data, or asset management
• Familiarity with data governance frameworks and regulatory compliance (SOX, GDPR, CCPA)
• Experience with infrastructure as code (Terraform, CloudFormation)

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

Brain Corp is a San Diego, California, USA-based AI company creating transformative core technology for the robotics industry. Our purpose is to create autonomous technology that helps the real world work better. Brain's robotic and AI solutions help retailers ensure that the right product is on the right shelf at the right price, in a clean environment. Through the BrainOS® Robotics Platform, which powers the largest global fleet of the Autonomous Mobile Robots (AMRs) in operation in commercial public spaces, Brain Corp delivers insightful and efficient automated solutions in both commercial floor cleaning and inventory management, empowering organizations and their employees to achieve more. Brain Corp currently powers more than 30,000 AMRs, representing the largest fleet of its kind in the world. Brain Corp is funded by the SoftBank Vision Fund, Clearbridge, and Qualcomm Ventures.

Position Overview:

As a member of our Technical Support Team, the Technical Support Engineer IV (TSE IV) plays a critical role in ensuring the optimal performance and reliability of robots deployed in diverse, real-world environments.  This role demands expertise in both software and hardware systems and involves proactive monitoring and sophisticated data analysis using cloud-based platforms.  

The TSE IV is responsible for identifying and resolving complex technical issues, spearheading advanced troubleshooting initiatives and implementing strategic solutions that enhance customer operations. This position also serves as the primary liaison between our customers and our engineering teams, advocating for customer needs and influencing the direction of product development. The TSE IV is expected to mentor junior engineers, lead critical projects and contribute to the strategic planning and execution of the Tech Support team’s goals.

Essential Job Functions: 

• Responsible for supporting the hardware and software aspects of Brain Corp’s fleet of robots
• Proactively monitor deployed fleet of robots remotely using internal tools to identify and solve issues effectively
• Conduct independent technical troubleshooting on customer-reported issues and implement effective resolutions
• Develop and expand comprehensive expertise in Brain Corp’s robotic systems, encompassing hardware, software, navigation kits, sub-system and cloud infrastructure. Utilize this knowledge to effectively troubleshoot and resolve issues as they arise
• Act as a Subject Matter Expert (SME) for both direct customers and Original Equipment Manufacturers (OEMs), adept at understanding their needs and resolving any issues they encounter in a timely and efficient manner
• Lead customer meetings and discussions
• Act as the primary liaison between our company and our end users
• Lead internal or external customer related initiatives addressing issues as they arise
• Collaborate closely with the Account Management team to address and resolve any issues or concerns raised by end users
• Proactively identify opportunities to enhance customer satisfaction and retention
• Coordinate meetings with service providers and OEMs:
• • Organize and lead regular meetings with service providers (SPs) and OEMs to discuss current issues, implement changes, and address any complaints
  • Ensure effective communication and collaboration between all parties to maintain strong working relationships and resolve issues promptly
  • Document meeting outcomes, track action items, and follow up to ensure timely resolution of all concerns
• Provide issue resolution and continuous improvement:
• • Take ownership of the resolution process for any issues reported by end users, SPs, or OEMs
  • Work cross-functionally with internal teams to identify root causes and implement corrective actions
  • Continuously seek ways to improve processes and enhance the overall customer experience
• Lead the quality resolution process, initiating from customer-reported symptoms, progressing through troubleshooting cycles to identify root causes effectively
• Provide training & enablement to OEM/customer when needed; providing on-site support within geographic region as needed
• Serve as an escalation point between Tech Support and Fleet Ops and Engineering teams
• Assist with the creation and monitoring of team metrics 
• Provide training and support to junior staff and mentor team members

Education and/or Work Experience Requirements: 

• Bachelor’s degree in computer science or STEM related field 
• 6+ years of experience working with customers in a technical field or customer service role 
• Experience in leading projects that positively impact both the company and customers,   showcasing effective leadership and the ability to deliver favorable outcomes to all stakeholders

Required Knowledge, Skills, Abilities and Other Characteristics:

• Excellent communication skills, both written and verbal, in order to effectively articulate and communicate complicated technical issues to customers, peers and engineering teams 
• Knowledge of basic Linux commands
• Expert in creating data dashboards using tools as Tableau, Grafana, PowerBI, etc, integrating data from various data sources such as SQL and Big Query
• Expert using Confluence and a Ticketing system such as Jira or Service Cloud 
• Experience with SQL, Big Query, data dashboards (Tableau, Grafana, or PowerBI
• Proven experience in a customer-facing role, preferably in a more senior role within the service or technology industry
• Strong interpersonal and communication skills, with the ability to effectively manage and resolve conflicts
• Proficient with issue tracking and resolution processes
• Excellent organizational skills and attention to detail
• A proactive and solution-oriented mindset
• Possess the ability to understand complex software infrastructure and architecture 
• Exhibit strong analytical skills and  the capacity to approach complex issues with a logical and methodical mindset
• Demonstrate strong technical troubleshooting skills in resolving software and hardware issues
• Collaborate effectively within small, cohesive teams to achieve common goals

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Essential functions may require maintaining the physical condition necessary for sitting, walking or standing for periods of time; operating a computer and keyboard; use of hands to finger and grasp; talk and hear at normal room levels; visual acuity to determine the accuracy, neatness, and thoroughness of the work assigned or to make general observations of facilities or structures; push or pull up to  50-75 pounds.

Work Environment:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The noise level in the work environment is usually quiet to moderate. Employees are exposed to the typical office environment with computers, printers and telephones.

Salary Range:

The anticipated salary range for candidates who will work in San Diego, California is $44.19/hr - 57.19/hr. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to the type and length of experience within the job, type and length of experience within the industry, education, etc. Brain Corp is a multi-state employer and this salary range may not reflect positions that work in other states.

Position Overview:

The Staff Software Engineer is a key technical leader within Brain Corp’s Platform team, responsible for the architecture, evolution, and performance of core software systems powering our autonomous mobile robots (AMRs). This includes ownership of the Hardware Abstraction Layer (HAL), telemetry systems, and core C++ middleware.This role is highly hands-on and strategic, driving the re-architecture of foundational robotics software to improve modularity, scalability, and performance. The engineer will lead technical direction across HAL and middleware layers, enabling efficient sensor integration, new hardware bring-up, and high-performance execution on embedded systems. Working cross-functionally with hardware, autonomy and applications teams, this role will ensure that our robotics platform supports rapid innovation, robust field performance, and scalable deployment across a global fleet.

Essential Job Functions:

• Lead the technical direction and architecture of the Hardware Abstraction Layer (HAL), ensuring modularity, scalability, and long-term maintainability
• Drive the migration and re-architecture of HAL to support next-generation robotics platforms and evolving hardware requirements
• Own the design and evolution of the robotics telemetry and replay systems, improving observability, reliability, and data quality
• Lead the migration of middleware components from Python to high-performance C++ implementations
• Architect and develop robust C++ middleware enabling efficient communication between sensors, compute, and autonomy systems
• Integrate and bring up new hardware components, including sensors such as LiDARs, cameras, and IMUs
• Optimize system performance across the robotics stack, including latency, throughput, memory usage, and CPU efficiency
• Collaborate closely with hardware, apps, autonomy, and QA teams to ensure seamless system integration and deployment
• Establish and enforce best practices in software design, code quality, testing, and documentation
• Provide technical mentorship and leadership to engineers, guiding design reviews and complex debugging efforts
• Contribute hands-on code to critical components while balancing long-term architectural improvements
• Drive continuous improvement of development workflows, testing strategies, and system reliability

Education and/or Work Experience Requirements: 

• Bachelor’s or Master’s Degree in Computer Science, Software Engineering, Robotics, or a related technical field
• 7+ years of professional software engineering experience
• Proven experience working on robotics systems, embedded platforms, or hardware abstraction layers (HAL)
• Demonstrated experience leading complex technical initiatives or driving architectural changes in production systems

Required Knowledge, Skills, Abilities and Other Characteristics: 

• Expert-level proficiency in modern C++ (C++11 or later), including multithreading, memory management, and performance optimization
• Strong Python skills for scripting, tooling, and system integration
• Deep understanding of hardware abstraction layers and low-level system design
• Hands-on experience integrating sensors such as LiDARs, cameras, and IMUs into production systems
• Strong experience with Linux-based development environments (e.g., Ubuntu)
• Experience designing and developing middleware systems or inter-process communication frameworks
• Familiarity with communication protocols such as MQTT, or similar paradigms
• Experience with build systems (e.g., CMake) and unit testing frameworks (e.g., Google Test)
• Proven ability to design scalable, maintainable, and modular system architectures
• Strong debugging and troubleshooting skills in complex robotics or embedded environments
• Experience with system performance profiling and optimization (CPU, memory, latency, throughput)
• Proficiency with version control systems such as Git
• Excellent communication skills and ability to provide technical leadership and mentorship without direct management responsibility

Things that Make a Difference: 

• Experience with Autonomous Mobile Robots (AMRs) or similar robotic systems
• Prior experience leading or contributing to large-scale system re-architecture or migration efforts
• Experience designing or improving telemetry and observability systems
• Familiarity with custom middleware architectures (non-ROS environments)
• Background in real-time or near-real-time systems
• Experience working at the intersection of hardware and software integration
• Passion for robotics, automation, and building high-performance, scalable systems

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Essential functions may require maintaining the physical condition necessary for sitting, walking or standing for periods of time; operating a computer and keyboard; use of hands to finger and grasp; talk and hear at normal room levels; visual acuity to determine the accuracy, neatness, and thoroughness of the work assigned or to make general observations of facilities or structures; push or pull up to 20 pounds.

Salary Range:

The anticipated salary range for candidates who will work in San Diego, California is $143,569  to $183,449. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to the type and length of experience within the job, type and length of experience within the industry, education, etc. Brain Corp is a multi-state employer and this salary range may not reflect positions that work in other states.

In addition to base pay, our competitive total rewards package consists of:

• A discretionary annual target bonus
• Stock options
• 401(k) plan with match (no waiting period and immediate vesting)
• Comprehensive suite of insurance benefits for employees (and their families) to include a variety of medical plan options (including an HSA with employer contribution), dental, vision, life and disability insurance, Employee Assistance Program (EAP), Legal/Identity support plans, pet insurance.
• Access to Flexible Spending Accounts (Medical and Dependent Care)
• Generous paid time off including flexible vacation, Paid Sick Leave, time off for volunteering in the community, 10 paid company holidays, and a winter company shutdown

Additional Perks include:

• Daily on-site lunch available in the San Diego office
• On-campus gym including pool and tennis courts in the San Diego office
• Opportunities to connect with colleagues including monthly game nights, hikes, wellness challenges, and community events 
• Internal continuous learning events 
• Opportunities to share your own interests and hobbies with the Company

Brain Corp is a San Diego, California, USA-based AI company creating transformative core technology for the robotics industry. Our purpose is to create autonomous technology that helps the real world work better. Brain's robotic and AI solutions help retailers ensure that the right product is on the right shelf at the right price, in a clean environment. Through the BrainOS® Robotics Platform, which powers the largest global fleet of the Autonomous Mobile Robots (AMRs) in operation in commercial public spaces, Brain Corp delivers insightful and efficient automated solutions in both commercial floor cleaning and inventory management, empowering organizations and their employees to achieve more. Brain Corp currently powers more than 30,000 AMRs, representing the largest fleet of its kind in the world. Brain Corp is funded by the SoftBank Vision Fund, Clearbridge, and Qualcomm Ventures.

Named a top workplace by the San Diego Union Tribune and USA today in 2025, we make life-changing impacts through innovation, helping workers globally unlock their abilities in orchestration with intelligent machines.

Position Overview:

The Staff Software Engineer plays a key role for the Software Engineering Applications team, leading the development for our in-house robot software applications. With a strong technical acumen and an excellent background in Python and C++ development, you will help lead a team of committed engineers to build interfaces and workflows, integrate state-of-the-art autonomy features, and deploy robust, safe, and scalable software application solutions for our next generation of products. You will identify performance bottlenecks, coordinate with cross-functional teams on simulation and control, and prioritize projects and tasks for the benefit of our end customers.

Essential Job Functions:

• Define, architect, and develop our in-house robot software applications
• Serve as a technical lead by mentoring junior engineers, providing high-quality feedback on designs and code reviews, and driving technical excellence through clean, reusable code
• Proactively identify and communicate technical risks, provide clear project status updates, and continuously improve software development processes
• Drive impact as a significant code contributor, developing extensible, maintainable, and scalable application value for robots deployed worldwide
• Improve software application performance through profiling, debugging, and testing
• Support integration of state-of-the-art autonomy features (deep learning models and pipelines, state-of-the-art mapping, perception, and motion planning algorithms)
• Take ownership and initiative for improving the quality of the software applications and architectures
• Work across disciplines (Hardware, Firmware, Cloud), coordinate multiple initiatives, and architect efficient and reusable solutions for various robot product lines

Education and/or Work Experience Requirements:

• BS or MS in Computer Science or related engineering discipline
• 7-8+ years of demonstrated experience in software development for complex systems interacting with sensors inputs or control-loops
• 1-2+ years of demonstrated software technical leadership experience
• Experience writing Python applications and knowledge of Python constructs and internals

Required Knowledge, Skills, Abilities and Other Characteristics:

• Demonstrated high proficiency with Python and C++ production-level coding
• Good knowledge of software debugging and profiling tools
• Distill product requirements into actionable engineering tasks while leaving room for design and implementation discussions
• Excellent organizational, analytical, reasoning and problem-solving skills
• Open, curious and creative mind, willing to build the future of robotics

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Essential functions may require maintaining the physical condition necessary for sitting, walking or standing for periods of time; operating a computer and keyboard; use of hands to finger and grasp; talk and hear at normal room levels; visual acuity to determine the accuracy, neatness, and thoroughness of the work assigned or to make general observations of facilities or structures; push or pull up to 20 pounds.

Work Environment:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The noise level in the work environment is usually quiet to moderate. Employees are exposed to the typical office environment with computers, printers and telephones.

Salary Range:

The anticipated salary range for candidates who will work in San Diego, California is $143,569 to $183,449. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to the type and length of experience within the job, type and length of experience within the industry, education, etc. Brain Corp is a multi-state employer and this salary range may not reflect positions that work in other states.

In addition to base pay, our competitive total rewards package consists of:

• A discretionary annual target bonus
• Stock options
• 401(k) plan with match (no waiting period and immediate vesting)
• Comprehensive suite of insurance benefits for employees (and their families) to include a variety of medical plan options (including an HSA with employer contribution), dental, vision, life and disability insurance, Employee Assistance Program (EAP), Legal/Identity support plans, pet insurance.
• Access to Flexible Spending Accounts (Medical and Dependent Care)
• Generous paid time off including flexible vacation, Paid Sick Leave, time off for volunteering in the community, 10 paid company holidays, and a winter company shutdown

Additional Perks include:

• Daily on-site lunch available in the San Diego office
• On-campus gym including pool and tennis courts in the San Diego office
• Opportunities to connect with colleagues including monthly game nights, hikes, wellness challenges, and community events 
• Internal continuous learning events 
• Opportunities to share your own interests and hobbies with the Company

Brain Corp is a San Diego, California, USA-based AI company creating transformative core technology for the robotics industry. Our purpose is to create autonomous technology that helps the real world work better. Brain's robotic and AI solutions help retailers ensure that the right product is on the right shelf at the right price, in a clean environment. Through the BrainOS® Robotics Platform, which powers the largest global fleet of the Autonomous Mobile Robots (AMRs) in operation in commercial public spaces, Brain Corp delivers insightful and efficient automated solutions in both commercial floor cleaning and inventory management, empowering organizations and their employees to achieve more. Brain Corp currently powers more than 30,000 AMRs, representing the largest fleet of its kind in the world. Brain Corp is funded by the SoftBank Vision Fund, Clearbridge, and Qualcomm Ventures.

Named a top workplace by the San Diego Union Tribune and USA today in 2025, we make life-changing impacts through innovation, helping workers globally unlock their abilities in orchestration with intelligent machines.

Position Overview:

The Software Engineer II, Proof of Concept (PoC), will contribute to a top engineering team by rapidly prototyping and demonstrating customer value with innovative solutions built on the BrainOS platform. With a few years of industry software experience, this role requires an individual who can quickly come up to speed on new technologies and problems, focusing on rapid development to showcase specific features and functionality that directly address customer needs and prove out market opportunities, while leveraging multitude of technologies and tools . This role offers the opportunity not only to contribute in cross-functional teams technically, but also to participate in discussions shaping the direction of the products with other internal stakeholders. This role is critical in defining problem scopes, delivering scalable solutions and aligning cross-functional efforts for impactful initiatives.

Essential Job Functions:

• Rapidly prototype and develop innovative software solutions on the BrainOS platform, focusing on demonstrating specific features and functionality that directly address customer needs and validate market opportunities
• Actively learn and apply new technologies, problem domains, and customer use cases to accelerate proof of concept development and iteration cycles
• Own the technical execution of proofs of concept, driving best practices for rapid code development, iterative testing, and demonstrative deployments to ensure high-quality, impactful validations
• Maintain a strong customer-centric approach, actively engaging with stakeholders to understand their challenges and rapidly engineer and validate solutions through iterative prototyping and data-driven insights
• Foster a culture of agility and rapid experimentation, encouraging technical discussions with a strong bias for action and embracing change and churn inherent in early-stage proof-of-concept development
• Act as a primary technical demonstrator and liaison, confidently showcasing prototypes and discussing technical solutions with internal and external customers, maintaining composure and clarity under pressure
• Collaborate closely with cross-functional teams (firmware, hardware, QE, product, program management) to define the scope of concepts, ensure technical feasibility, and align efforts for seamless transition of validated ideas
• Champion client satisfaction by conducting on-site implementations and demonstrations; must be able to travel to various customer locations to fulfil project milestones
• Other duties and responsibilities as assigned

Education and/or Work Experience Requirements: 

• Bachelor’s Degree in Computer Science, Data Science or applicable engineering discipline
• 2-4 years of demonstrated experience in software development for complex function-based software that interacts with sensor inputs, control loops, redundancy, and visualization with a strong emphasis on rapid prototyping and iterative development

Required Knowledge, Skills, Abilities and Other Characteristics:

• Demonstrated proficiency with OO C++ and/or Python production level coding, with a proven ability to develop quickly for proof of concept needs and troubleshoot issues
• ​​Experience with agents, GPT and LLM applications, i.e. developing and improving customer focused solutions leveraging these applications
• Curiosity to rapidly gain subject matter expertise in specific functional areas while keeping aware of the larger landscape of customer use case and value, especially for rapid validation
• Excellent technical and analytical skills
• Strong problem-solving skills, with a proactive and results-oriented approach focused on quickly demonstrating customer value, leveraging a wide range of tools and technologies
• Excellent communication skills, with the ability to clearly articulate technical concepts to both technical and non-technical audiences
• Strong collaboration skills with the ability to influence stakeholders and align cross-functional efforts for impactful initiatives
• Proven ability to embrace change and adapt quickly to evolving requirements and priorities
• Experience with ML, hardware integration, motion control, cloud platforms, web technologies, and data analysis
• Ability to remain calm and effective in fast-paced, high-pressure situations, especially when interacting with customers or demonstrating early-stage concepts

Things that make a difference:

• Master’s Degree in Computer Science, Data Science or applicable engineering discipline 
• Experience in autonomous vehicles, robotics, or related industry
• Experience with database management, ML tools and CV applications
• Involved in hands-on programs such as FIRST or robotics competitions
• Experience in applying generative AI towards ideation and iteration of engineering solutions

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Essential functions may require maintaining the physical condition necessary for sitting, walking or standing for periods of time; operating a computer and keyboard; use of hands to finger and grasp; talk and hear at normal room levels; visual acuity to determine the accuracy, neatness, and thoroughness of the work assigned or to make general observations of facilities or structures; push or pull up to 20 pounds.

Work Environment:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The noise level in the work environment is usually quiet to moderate. Employees are exposed to the typical office environment with computers, printers and telephones.

Salary Range:

The anticipated salary for candidates who will work in San Diego, California is $130,000. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to the type and length of experience within the job, type and length of experience within the industry, education, etc. Brain Corp is a multi-state employer and this salary range may not reflect positions that work in other states.

In addition to base pay, our competitive total rewards package consists of:

• A discretionary annual target bonus
• Stock options
• 401(k) plan with match (no waiting period and immediate vesting)
• Comprehensive suite of insurance benefits for employees (and their families) to include a variety of medical plan options (including an HSA with employer contribution), dental, vision, life and disability insurance, Employee Assistance Program (EAP), Legal/Identity support plans, pet insurance.
• Access to Flexible Spending Accounts (Medical and Dependent Care)
• Generous paid time off including flexible vacation, Paid Sick Leave, time off for volunteering in the community, 10 paid company holidays, and a winter company shutdown

Additional Perks include:

• Daily on-site lunch available in the San Diego office
• On-campus gym including pool and tennis courts in the San Diego office
• Opportunities to connect with colleagues including monthly game nights, hikes, wellness challenges, and community events 
• Internal continuous learning events 
• Opportunities to share your own interests and hobbies with the Company

Brain Corp is a San Diego, California, USA-based AI company creating transformative core technology for the robotics industry. Our purpose is to create autonomous technology that helps the real world work better. Brain's robotic and AI solutions help retailers ensure that the right product is on the right shelf at the right price, in a clean environment. Through the BrainOS® Robotics Platform, which powers the largest global fleet of the Autonomous Mobile Robots (AMRs) in operation in commercial public spaces, Brain Corp delivers insightful and efficient automated solutions in both commercial floor cleaning and inventory management, empowering organizations and their employees to achieve more. Brain Corp currently powers more than 30,000 AMRs, representing the largest fleet of its kind in the world. Brain Corp is funded by the SoftBank Vision Fund, Clearbridge, and Qualcomm Ventures.

Named a top workplace by the San Diego Union Tribune and USA today in 2025, we make life-changing impacts through innovation, helping workers globally unlock their abilities in orchestration with intelligent machines.

Position Overview:

As a member of our Software Engineering team, the Software Engineer II, Data Engineering will play a key role in designing and maintaining the data infrastructure that powers the BrainOS platform. This role requires a solid foundation in data engineering concepts and technologies; with experience in building scalable data pipelines and ensuring the integrity and performance of data systems. The Software Engineer II, Data Engineering will work independently on mid-sized projects and collaborate with senior engineers to tackle larger initiatives.

Essential Job Functions:

• Design and Develop Data Pipelines: Implement robust, scalable pipelines for processing structured and unstructured data
• Data Architecture & Modeling: Contribute to the design of complex data models and optimize storage solutions in support of engineering and business objectives
• Optimize Performance and Scalability: Enhance the efficiency and scalability of data pipelines and storage systems by identifying bottlenecks, and configuring cluster resources
• Collaborate and Support: Collaborate with data analysts, data scientists, and other business teams to support data-related technical issues and support their data infrastructure needs
• Data Security & Compliance: Implement security best practices, including encryption and access control policies, while maintaining data integrity and compliance with quality standards
• Incident Management: Monitor and troubleshoot data pipeline failures and reliability issues

Education and/or Work Experience Requirements:

• BS or MS in Computer Science or applicable engineering discipline
• 2-5 years of proven software development experience, with at least 2 of those years focused on data engineering

Required Knowledge, Skills, Abilities, and Other Characteristics:

• Proficiency in SQL as well as one or more programming languages (Python, Go, or TypeScript)
• Experience with data warehousing (BigQuery, Snowflake, Firestore, MySQL, PostgreSQL)
• Familiarity with stream processing frameworks (Apache Beam, Pub/Sub, Spark Streaming)
• Understanding of data governance, security, and compliance best practices
• Strong problem-solving skills and ability to work independently on projects
• Familiarity using Generative AI tools to enhance development workflows, such as code generation, data exploration, and documentation support
• Effective communication skills demonstrated by effective written and verbal communication; with an ability to articulate technical concepts to both technical and non-technical stakeholders

Things that make a difference:

• Experience with machine learning models and data science methodologies
• Experience with Google Cloud and their data ecosystem
• Familiarity with BI tools (e.g., Tableau, Power BI) and data frameworks (e.g., Hadoop, Spark)
• Experience with infrastructure as code (e.g., Terraform, Pulumi) and containerization and orchestration tools (e.g., Docker, Kubernetes)

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Essential functions may require maintaining the physical condition necessary for sitting, walking or standing for periods of time; operating a computer and keyboard; use of hands to finger and grasp; talk and hear at normal room levels; visual acuity to determine the accuracy, neatness, and thoroughness of the work assigned or to make general observations of facilities or structures; push or pull up to 20 pounds.

Work Environment:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The noise level in the work environment is usually quiet to moderate. Employees are exposed to the typical office environment with computers, printers and telephones.

Salary Range:

The anticipated salary range for candidates who will work in San Diego, California is $130,000. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to the type and length of experience within the job, type and length of experience within the industry, education, etc. Brain Corp is a multi-state employer and this salary range may not reflect positions that work in other states.

Brain Corp is a San Diego, California, USA-based AI company creating transformative core technology for the robotics industry. Our purpose is to create autonomous technology that helps the real world work better. Brain's robotic and AI solutions help retailers ensure that the right product is on the right shelf at the right price, in a clean environment. Through the BrainOS® Robotics Platform, which powers the largest global fleet of the Autonomous Mobile Robots (AMRs) in operation in commercial public spaces, Brain Corp delivers insightful and efficient automated solutions in both commercial floor cleaning and inventory management, empowering organizations and their employees to achieve more. Brain Corp currently powers more than 30,000 AMRs, representing the largest fleet of its kind in the world. Brain Corp is funded by the SoftBank Vision Fund, Clearbridge, and Qualcomm Ventures.

Named a top workplace by the San Diego Union Tribune and USA today in 2025, we make life-changing impacts through innovation, helping workers globally unlock their abilities in orchestration with intelligent machines.

Position Summary: 

The Software Engineer II plays an important role for the Applications team, contributing significantly to the development of our in-house robot software applications. You will maintain and enhance the performance of our growing compact sweeper fleet of more than 15,000 robots. You will lead in developing tools, solving complex technical issues, and collaborating with cross-functional teams, including firmware, hardware, QA, program and product management, and technical operations. You will also analyze data from field operations to drive continuous improvement in robot functionality and operational efficiency.

Essential Job Functions:

• Design, develop, and maintain advanced Python/C++ robot software applications, contributing to functionality, sensor integration, reliability, and user experience
• Oversee the performance and user experience of our Clean and Sense robot fleet, identifying and resolving critical issues to enhance customer satisfaction
• Collaborate closely with Product, UX, UI, multiple cross functional engineering teams to implement critical changes requested by customers, ensuring high-quality, timely, and impactful deliveries
• Lead the software development lifecycle, including planning, coding, reviewing, testing, and deployment, to uphold the high-quality standards of our software releases
• Facilitate technical discussions and decisions and contribute to the strategic direction of our projects
• Learn and apply new technologies and software methodologies, with an openness to mentorship and constructive feedback to grow in areas like system design, testing, monitoring, and maintenance
• Manage and refine version control practices using Git, promoting effective team collaboration

Required Education and Work Experience:

• BS or MS in Computer Science or a related engineering discipline
• 3-5 years of relevant software development experience, with a strong background in complex, sensor-driven software systems

Required Knowledge, Skills, Abilities, and Other Characteristics:

• Advanced proficiency in object-oriented programming, particularly with C++ and/or Python, in a production setting
• Demonstrated capability to lead or contribute greatly to large-scale projects, with a deep understanding of customer needs and product value
• Exceptional communication and leadership skills, able to mentor team members and guide technical and project discussions
• Strong analytical and technical skills, with a proven track record of diagnosing and resolving complex problems

Preferred Qualifications:

• Experience in autonomous vehicles, robotics, or related fields.
• Expertise in developing large complex near-real time systems
• Knowledge of complex build systems like CMake and continuous integration workflows.

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Essential functions may require maintaining the physical condition necessary for sitting, walking or standing for periods of time; operating a computer and keyboard; talk and hear at normal room levels; using hands to finger, grasp, and feel; repetitive motion; close visual acuity to prepare and analyze data and figures; transcribing; viewing a computer terminal; extensive reading; lift, push, carry, or pull up to 20 pounds. 

Work Environment:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The noise level in the work environment is usually quiet to moderate. Employee is exposed to the typical office environment with computers, printers and telephones.

Salary Range:

The anticipated salary range for candidates who will work in San Diego, California is $ 130,000. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to the type and length of experience within the job, type and length of experience within the industry, education, etc. Brain Corp is a multi-state employer and this salary range may not reflect positions that work in other states.

Brain Corp is a San Diego, California, USA-based AI company creating transformative core technology for the robotics industry. Our purpose is to create autonomous technology that helps the real world work better. Brain's robotic and AI solutions help retailers ensure that the right product is on the right shelf at the right price, in a clean environment. Through the BrainOS® Robotics Platform, which powers the largest global fleet of the Autonomous Mobile Robots (AMRs) in operation in commercial public spaces, Brain Corp delivers insightful and efficient automated solutions in both commercial floor cleaning and inventory management, empowering organizations and their employees to achieve more. Brain Corp currently powers more than 30,000 AMRs, representing the largest fleet of its kind in the world. Brain Corp is funded by the SoftBank Vision Fund, Clearbridge, and Qualcomm Ventures.

Position Overview:

As a member of the Firmware Engineering team, the Embedded Software Engineer I is responsible for focusing on writing safe, reliable embedded software for integrating hardware and software for robotic products. This role offers a hands-on opportunity to see your code directly impact the behavior of real-world robotic systems in real-time.

Essential Job Functions:

• Write, bug-fix, and maintain embedded software in C/C++ and Python to support the core functionality of robotic systems
• Collaborate with the hardware team to integrate software with MCUs and peripherals using protocols like CAN, I2C, and SPI
• Participate in code reviews and utilize GitHub for source control to ensure all firmware meets team coding standards
• Contribute to build systems (CMake/Make) and support CI/CD pipelines to streamline the deployment of firmware releases
• Maintain clear technical documentation for integrated systems and software features to support team knowledge sharing
• Other duties and responsibilities as assigned

Education and/or Work Experience Requirements:

• Bachelor’s degree in Computer Science or Electrical Engineering or a related field.
• 0-2 years of professional experience in embedded software development

Required Knowledge, Skills, Abilities, and Other Characteristics: 

• Strong software engineering and coding skill in C/C++
• Experience with ARM Cortex MCUs
• Experience with embedded RTOS, and programming in multithreaded environments
• Experience with embedded system skills (CAN, I2C, SPI, GPIO, interrupts, timers, PWM)
• Familiarity with AGILE development and continuous integration
• Familiarity with Linux environments, build systems (Makefile and/or CMake), and test automation frameworks (pytest)
• Familiarity with lab equipment (DMMs, oscilloscopes)
• Familiarity with Github for source control, tracking, and testing

Things That Make a Difference:

• MS in computer science, software engineering or a related field
• Understanding of CI/CD pipelines and related tools (e.g., Jenkins, GitLab CI/CD)
• Experience with Github, JIRA, and Jenkins tools for source control, tracking, and testing

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Essential functions may require maintaining the physical condition necessary for sitting, walking or standing for periods of time; operating a computer and keyboard; use of hands to finger and grasp; talk and hear at normal room levels; visual acuity to determine the accuracy, neatness, and thoroughness of the work assigned or to make general observations of facilities or structures; push or pull up to 20 pounds.

Work Environment:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The noise level in the work environment is usually quiet to moderate. Employees are exposed to the typical office environment with computers, printers and telephones.

Salary Range:

The anticipated salary range for candidates who will work in San Diego, California is $123,000. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to the type and length of experience within the job, type and length of experience within the industry, education, etc. Brain Corp is a multi-state employer and this salary range may not reflect positions that work in other states.

Brain Corp is a San Diego, California, USA-based AI company creating transformative core technology for the robotics industry. Our purpose is to create autonomous technology that helps the real world work better. Brain's robotic and AI solutions help retailers ensure that the right product is on the right shelf at the right price, in a clean environment. Through the BrainOS® Robotics Platform, which powers the largest global fleet of the Autonomous Mobile Robots (AMRs) in operation in commercial public spaces, Brain Corp delivers insightful and efficient automated solutions in both commercial floor cleaning and inventory management, empowering organizations and their employees to achieve more. Brain Corp currently powers more than 30,000 AMRs, representing the largest fleet of its kind in the world. Brain Corp is funded by the SoftBank Vision Fund, Clearbridge, and Qualcomm Ventures.

Position Overview:

We are seeking a Staff Software Development Engineer in Test, Cloud Applications to lead the design and evolution of quality engineering architecture across our web applications, cloud services, mobile platforms, and data systems.

This role combines deep technical leadership with hands-on engineering, operating as a working lead responsible for both architectural quality initiatives and the mentorship and management of a team of SDETs. The Staff SDET will guide a small team of engineers while remaining actively involved in designing and building scalable automation frameworks and validation platforms.

The role focuses on building engineering-grade automation, quality platforms, and validation strategies that enable teams to deliver reliable systems at scale. The Staff SDET acts as a quality architect, partnering with engineering, platform, and product teams to embed validation directly into system design, CI/CD pipelines, and data workflows.

The ideal candidate combines strong software engineering skills in Python with deep expertise in distributed systems testing, cloud-native environments, mobile testing platforms, and data validation frameworks.

Essential Job Functions:

Automation Platform Development

• Design and implement scalable automation frameworks and validation platforms using Python
• Build reusable automation libraries and developer-facing tooling that enable teams to validate functionality earlier in the development cycle
• Architect automated validation strategies across:
• Modern web applications
• APIs and microservices
  Distributed cloud systems
• Mobile platforms
• Data pipelines and analytics platforms including ML outputs.
• Integrate automation frameworks into CI/CD pipelines to enable rapid feedback and high-confidence releases

Mobile Platform Validation

• Architect automated testing strategies for mobile applications across iOS and Android platforms
• Leverage cloud device platforms such as BrowserStack to enable scalable cross-device testing
• Integrate mobile automation into CI/CD pipelines to support validation across devices, operating systems, and configurations
• Define strategies for mobile UI testing, API validation, and end-to-end workflow testing

Cloud & Distributed Systems Validation

• Design validation strategies for cloud-native microservices architectures
• Enable automated testing for service interactions through contract testing, integration validation, and environment simulation
• Partner with infrastructure and DevOps teams to embed quality gates within deployment pipelines
• Drive improvements in system reliability, performance, and resilience testing

Data Platform Quality Engineering

• Architect automated validation for data pipelines, data transformations, and data platform services
• Establish frameworks to validate data integrity, schema evolution, lineage, and reproducibility
• Partner with Data Engineering teams to ensure quality is built into analytics and machine learning
• Partner with data science and ML Ops teams to ensure reproducibility, monitoring, and validation of ML models within production systems, including drift detection and model performance validation

Technical Leadership & Engineering Influence

• Act as a technical leader across engineering teams, influencing architecture and engineering practices to improve product quality and system reliability
• Collaborate with product management, development, and DevOps teams to align testing strategies with product goals
• Facilitate the adoption of AI/ML/LLM-enabled testing strategies where appropriate
• Contribute to system and design reviews to ensure new components are observable, testable, and resilient
• Shape the direction of the Quality Engineering discipline, driving adoption of modern testing approaches and tooling workflows

Working Lead & Team Leadership

• Serve as a working lead and manager for a team of SDETs, providing architectural guidance and mentorship
• Conduct performance reviews, support career development, and foster engineering excellence within the team
• Guide the team’s technical direction while remaining hands-on in framework design and automation architecture
• Coordinate quality engineering initiatives across projects to ensure alignment with organizational priorities

Data-Driven Quality Insights

• Establish metrics, dashboards, and observability strategies that provide real-time visibility into product health and release readiness
• Provide engineering leadership with data-driven insights into system reliability, defect trends, and risk areas
• Investigate system behaviors and diagnostic data to identify root causes and drive cross-team issue resolution
• Ensure traceability between requirements, implementation, and verification

Education and/or Work Experience Requirements: 

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience
• 7+ years of experience in software engineering or SDET roles working with complex distributed systems, with at least 3 years in a technical leadership role 
• Strong software development skills in Python, including building automation, tooling, or validation systems
• Demonstrated experience designing and implementing automation frameworks or validation platforms across multiple layers of the stack (UI, API, service, integration, and data)
• Strong experience validating web applications, APIs, and distributed microservices architectures
• Demonstrated ability to integrate automated validation strategies into CI/CD pipelines
• Strong understanding of modern software testing methodologies and quality engineering practices, including functional, integration, and system testing
• Experience implementing browser automation frameworks such as Playwright or Cypress
• Strong debugging and analytical skills, including the ability to investigate complex failures and support root cause analysis
• Demonstrated ability to mentor engineers and influence engineering practices within a team or product area
• Excellent communication, collaboration, and technical documentation skills
• Proven capability in utilizing AI/ML-assisted testing techniques to enhance coverage, diagnostics, and defect detection

Preferred Qualifications:

• Experience validating data platforms and data pipelines, including SQL-based systems, data warehouses, and ETL/ELT workflows
• Experience implementing contract testing or service-level validation strategies in distributed systems
• Experience building or improving quality dashboards, metrics, or reporting systems used to evaluate system health and release readiness
• Experience testing mobile applications and working with cross-device testing platforms

Things that make a difference:

• Master’s degree in Computer Science, CE, EE.
• Experience validating machine learning systems or ML-enabled applications, including model inference services, training data pipelines, or model output validation
• Experience with simulation-based testing environments, such as NVIDIA Isaac Sim or similar robotics simulation platforms
• Experience working in environments that combine cloud services, mobile applications, and data platforms
• Experience in mobile robotics or industrial automation is a plus
• Experience with common sensors used in robotics, including cameras (RGB and Depth), LIDARs, IMUs and Sonars is a plus

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The physical activity of this position includes, kneeling; reaching; pushing; pulling; sitting, standing and walking for periods of time; using hands to finger and grasp; repetitive motion; talking and hearing. close visual acuity to prepare and analyze data and figures; transcribing; viewing a computer terminal; extensive reading; visual inspection involving small defects, small parts, and/or operation of machines; use of measurement devices; and/or assembly or fabrication parts at distances close to the eyes; push or pull up to 20 pounds.

Work Environment:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The noise level in the work environment is usually quiet to moderate. Employees are exposed to the typical office environment with computers, printers and telephones.

Salary Range:

The anticipated salary range for candidates who will work in San Diego, California is $133,500 to $155,000. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to the type and length of experience within the job, type and length of experience within the industry, education, etc. Brain Corp is a multi-state employer and this salary range may not reflect positions that work in other states.

In addition to base pay, our competitive total rewards package consists of:

• A discretionary annual target bonus
• Stock options
• 401(k) plan with match (no waiting period and immediate vesting)
• Comprehensive suite of insurance benefits for employees (and their families) to include a variety of medical plan options (including an HSA with employer contribution), dental, vision, life and disability insurance, Employee Assistance Program (EAP), Legal/Identity support plans, pet insurance.
• Access to Flexible Spending Accounts (Medical and Dependent Care)
• Generous paid time off including flexible vacation, Paid Sick Leave, time off for volunteering in the community, 10 paid company holidays, and a winter company shutdown

Additional Perks include:

• Daily on-site lunch available in the San Diego office
• On-campus gym including pool and tennis courts in the San Diego office
• Opportunities to connect with colleagues including monthly game nights, hikes, wellness challenges, and community events 
• Internal continuous learning events 
• Opportunities to share your own interests and hobbies with the Company

Brain Corp is a San Diego, California, USA-based AI company creating transformative core technology for the robotics industry. Our purpose is to create autonomous technology that helps the real world work better. Brain's robotic and AI solutions help retailers ensure that the right product is on the right shelf at the right price, in a clean environment. Through the BrainOS® Robotics Platform, which powers the largest global fleet of the Autonomous Mobile Robots (AMRs) in operation in commercial public spaces, Brain Corp delivers insightful and efficient automated solutions in both commercial floor cleaning and inventory management, empowering organizations and their employees to achieve more. Brain Corp currently powers more than 30,000 AMRs, representing the largest fleet of its kind in the world. Brain Corp is funded by the SoftBank Vision Fund, Clearbridge, and Qualcomm Ventures.

Position Overview:

The Software Development Engineer in Test II (SDET II) is a software engineer who focuses on building and improving the automated systems used to validate modern software applications and services. Working closely with product developers, the SDET II develops test automation, validation tooling, and quality insights that help ensure reliable releases across web applications, cloud services, mobile platforms, and supporting data systems. Unlike traditional QA roles, the SDET II contributes code, automation, and tooling alongside development teams, helping ensure that systems are testable, observable, and scalable throughout the software development lifecycle. This role is expected to contribute directly to engineering work while collaborating with product, development, and quality teams to deliver high-quality software. 

Essential Job Functions:

Automation Development & Test Engineering

• Develop and maintain automated tests and validation tools to verify the functionality and reliability of software applications and services
• Write and maintain automation code in Python within Linux-based environments, contributing to shared test frameworks and validation tools
• Implement automated tests for web applications, APIs, and backend services using modern testing frameworks
• Design and execute validation plans and test strategies that balance automation and exploratory testing
• Contribute to the evaluation and adoption of modern engineering tools and practices that improve testing efficiency and product quality

Simulation-Based Validation

• Develop and maintain automated simulation-based tests using tools such as NVIDIA Isaac Sim to validate software behavior in realistic virtual environments
• Create simulation scenarios that support validation of system functionality and help reproduce complex edge cases

CI/CD & Engineering Workflow Integration

• Contribute to continuous integration and continuous delivery (CI/CD) pipelines by integrating automated tests and validation steps
• Participate in code reviews and design discussions to help ensure systems are testable and maintainable
• Work with product owners and engineers to define testable requirements and acceptance criteria

Quality Insights & Reporting

• Assist in building and maintaining quality dashboards and reporting tools that provide insight into system health and test coverage
• Analyze test results and communicate findings to development teams to support timely issue resolution
• Ensure traceability between requirements, implementation, and validation activities

Engineering Documentation & Collaboration

• Write and maintain documentation for test plans, validation approaches, and test results
• Collaborate with development and product teams to ensure clear validation strategies and reliable feature delivery

AI-Assisted Development & Testing

• Apply Generative AI (GenAI) tools and techniques to assist with software development, test generation, debugging, and documentation workflows
• Contribute to efforts that integrate GenAI capabilities into development or product workflows, including experimentation with AI-assisted automation and validation

Education and/or Work Experience Requirements: 

• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience
• 2+ years of professional experience developing software, test automation, or validation tooling for production software systems
• Demonstrated ability to write and maintain automation code in Python, including developing automated tests or validation utilities in Linux-based environments
• Hands-on experience implementing automated tests for web applications, APIs, or backend services using modern testing frameworks
• Practical understanding of software testing methodologies, including unit, integration, and system-level testing
• Demonstrated experience contributing automated tests to CI/CD pipelines and participating in automated build and test workflows
• Working knowledge of RESTful APIs and service-based architectures, with the ability to validate service interactions and troubleshoot failures
• Experience working within the full software development lifecycle in Agile environments, collaborating with developers and product teams
• Strong debugging and analytical skills, including the ability to investigate failing tests and support root cause analysis
• Excellent communication, collaboration, and technical documentation skills
• Demonstrated use of Generative AI tools to assist software development or testing workflows, such as generating test cases, debugging assistance, or documentation

Preferred Qualifications:

• Hands-on experience developing automated tests using modern web testing frameworks such as Playwright, Cypress, or Selenium
• Working knowledge of containerized development environments (e.g., Docker) and their role in local development or CI workflows
• Hands-on experience with data processing pipelines or data validation workflows, including validating structured data used by applications or services
• Exposure to developing or executing simulation-based test scenarios in virtual environments to validate system behavior

Things that make a difference:

• Master’s degree in Computer Science, CE, EE.
• Experience validating machine learning systems or ML-enabled applications, including model inference services, training data pipelines, or model output validation
• Experience with NVIDIA Isaac Sim or similar robotics simulation platforms
• Experience working in environments that combine cloud services, mobile applications, and data platforms
• Experience in mobile robotics or industrial automation is a plus
• Experience with common sensors used in robotics, including cameras (RGB and Depth), LIDARs, IMUs and Sonars is a plus

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The physical activity of this position includes, kneeling; reaching; pushing; pulling; sitting, standing and walking for periods of time; using hands to finger and grasp; repetitive motion; talking and hearing. close visual acuity to prepare and analyze data and figures; transcribing; viewing a computer terminal; extensive reading; visual inspection involving small defects, small parts, and/or operation of machines; use of measurement devices; and/or assembly or fabrication parts at distances close to the eyes; push or pull up to 20 pounds.

Work Environment:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The noise level in the work environment is usually quiet to moderate. Employees are exposed to the typical office environment with computers, printers and telephones.

Salary and Benefits:

The anticipated salary range for candidates who will work in San Diego, California is $49.40/hr. - $57.21/hr. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to the type and length of experience within the job, type and length of experience within the industry, education, etc. Brain Corp is a multi-state employer and this salary range may not reflect positions that work in other states.

In addition to base pay, our competitive total rewards package consists of:

• A discretionary annual target bonus
• Stock options
• 401(k) plan with match (no waiting period and immediate vesting)
• Comprehensive suite of insurance benefits for employees (and their families) to include a variety of medical plan options (including an HSA with employer contribution), dental, vision, life and disability insurance, Employee Assistance Program (EAP), Legal/Identity support plans, pet insurance
• Access to Flexible Spending Accounts (Medical and Dependent Care)
• Generous paid time off including accrued vacation, Paid Sick Leave, time off for volunteering in the community, 10 paid company holidays, and a winter company shutdown

Additional Perks include:

• Daily on-site lunch available in the San Diego office
• On-campus gym including pool and tennis courts in the San Diego office
• Opportunities to connect with colleagues including monthly game nights, hikes, wellness challenges, and community events 
• Internal continuous learning events 
• Opportunities to share your own interests and hobbies with the Company

Brain Corp is a San Diego, California, USA-based AI company creating transformative core technology for the robotics industry. Our purpose is to create autonomous technology that helps the real world work better. Brain's robotic and AI solutions help retailers ensure that the right product is on the right shelf at the right price, in a clean environment. Through the BrainOS® Robotics Platform, which powers the largest global fleet of the Autonomous Mobile Robots (AMRs) in operation in commercial public spaces, Brain Corp delivers insightful and efficient automated solutions in both commercial floor cleaning and inventory management, empowering organizations and their employees to achieve more. Brain Corp currently powers more than 30,000 AMRs, representing the largest fleet of its kind in the world. Brain Corp is funded by the SoftBank Vision Fund, Clearbridge, and Qualcomm Ventures.

Position Overview:

The Software Development Engineer in Test II (SDET II) is a software engineer who focuses on building and improving the automated systems used to validate modern software applications and services. Working closely with product developers, the SDET II develops test automation, validation tooling, and quality insights that help ensure reliable releases across web applications, cloud services, mobile platforms, and supporting data systems. Unlike traditional QA roles, the SDET II contributes code, automation, and tooling alongside development teams, helping ensure that systems are testable, observable, and scalable throughout the software development lifecycle. This role is expected to contribute directly to engineering work while collaborating with product, development, and quality teams to deliver high-quality software. 

Essential Job Functions:

Automation Development & Test Engineering

• Develop and maintain automated tests and validation tools to verify the functionality and reliability of software applications and services
• Write and maintain automation code in Python within Linux-based environments, contributing to shared test frameworks and validation tools
• Implement automated tests for web applications, APIs, and backend services using modern testing frameworks
• Design and execute validation plans and test strategies that balance automation and exploratory testing
• Contribute to the evaluation and adoption of modern engineering tools and practices that improve testing efficiency and product quality

Simulation-Based Validation

• Develop and maintain automated simulation-based tests using tools such as NVIDIA Isaac Sim to validate software behavior in realistic virtual environments
• Create simulation scenarios that support validation of system functionality and help reproduce complex edge cases

CI/CD & Engineering Workflow Integration

• Contribute to continuous integration and continuous delivery (CI/CD) pipelines by integrating automated tests and validation steps
• Participate in code reviews and design discussions to help ensure systems are testable and maintainable
• Work with product owners and engineers to define testable requirements and acceptance criteria

Quality Insights & Reporting

• Assist in building and maintaining quality dashboards and reporting tools that provide insight into system health and test coverage
• Analyze test results and communicate findings to development teams to support timely issue resolution
• Ensure traceability between requirements, implementation, and validation activities

Engineering Documentation & Collaboration

• Write and maintain documentation for test plans, validation approaches, and test results
• Collaborate with development and product teams to ensure clear validation strategies and reliable feature delivery

AI-Assisted Development & Testing

• Apply Generative AI (GenAI) tools and techniques to assist with software development, test generation, debugging, and documentation workflows
• Contribute to efforts that integrate GenAI capabilities into development or product workflows, including experimentation with AI-assisted automation and validation

Education and/or Work Experience Requirements: 

• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience
• 2+ years of professional experience developing software, test automation, or validation tooling for production software systems
• Demonstrated ability to write and maintain automation code in Python, including developing automated tests or validation utilities in Linux-based environments
• Hands-on experience implementing automated tests for web applications, APIs, or backend services using modern testing frameworks
• Practical understanding of software testing methodologies, including unit, integration, and system-level testing
• Demonstrated experience contributing automated tests to CI/CD pipelines and participating in automated build and test workflows
• Working knowledge of RESTful APIs and service-based architectures, with the ability to validate service interactions and troubleshoot failures
• Experience working within the full software development lifecycle in Agile environments, collaborating with developers and product teams
• Strong debugging and analytical skills, including the ability to investigate failing tests and support root cause analysis
• Excellent communication, collaboration, and technical documentation skills
• Demonstrated use of Generative AI tools to assist software development or testing workflows, such as generating test cases, debugging assistance, or documentation

Preferred Qualifications:

• Hands-on experience developing automated tests using modern web testing frameworks such as Playwright, Cypress, or Selenium
• Working knowledge of containerized development environments (e.g., Docker) and their role in local development or CI workflows
• Hands-on experience with data processing pipelines or data validation workflows, including validating structured data used by applications or services
• Exposure to developing or executing simulation-based test scenarios in virtual environments to validate system behavior

Things that make a difference:

• Master’s degree in Computer Science, CE, EE.
• Experience validating machine learning systems or ML-enabled applications, including model inference services, training data pipelines, or model output validation
• Experience with NVIDIA Isaac Sim or similar robotics simulation platforms
• Experience working in environments that combine cloud services, mobile applications, and data platforms
• Experience in mobile robotics or industrial automation is a plus
• Experience with common sensors used in robotics, including cameras (RGB and Depth), LIDARs, IMUs and Sonars is a plus

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The physical activity of this position includes, kneeling; reaching; pushing; pulling; sitting, standing and walking for periods of time; using hands to finger and grasp; repetitive motion; talking and hearing. close visual acuity to prepare and analyze data and figures; transcribing; viewing a computer terminal; extensive reading; visual inspection involving small defects, small parts, and/or operation of machines; use of measurement devices; and/or assembly or fabrication parts at distances close to the eyes; push or pull up to 20 pounds.

Work Environment:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The noise level in the work environment is usually quiet to moderate. Employees are exposed to the typical office environment with computers, printers and telephones.

Salary and Benefits:

The anticipated salary range for candidates who will work in San Diego, California is $49.40/hr. - $57.21/hr. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to the type and length of experience within the job, type and length of experience within the industry, education, etc. Brain Corp is a multi-state employer and this salary range may not reflect positions that work in other states.

In addition to base pay, our competitive total rewards package consists of:

• A discretionary annual target bonus
• Stock options
• 401(k) plan with match (no waiting period and immediate vesting)
• Comprehensive suite of insurance benefits for employees (and their families) to include a variety of medical plan options (including an HSA with employer contribution), dental, vision, life and disability insurance, Employee Assistance Program (EAP), Legal/Identity support plans, pet insurance
• Access to Flexible Spending Accounts (Medical and Dependent Care)
• Generous paid time off including accrued vacation, Paid Sick Leave, time off for volunteering in the community, 10 paid company holidays, and a winter company shutdown

Additional Perks include:

• Daily on-site lunch available in the San Diego office
• On-campus gym including pool and tennis courts in the San Diego office
• Opportunities to connect with colleagues including monthly game nights, hikes, wellness challenges, and community events 
• Internal continuous learning events 
• Opportunities to share your own interests and hobbies with the Company

Brain Corp is a San Diego, California, USA-based AI company creating transformative core technology for the robotics industry. Our purpose is to create autonomous technology that helps the real world work better. Brain's robotic and AI solutions help retailers ensure that the right product is on the right shelf at the right price, in a clean environment. Through the BrainOS® Robotics Platform, which powers the largest global fleet of the Autonomous Mobile Robots (AMRs) in operation in commercial public spaces, Brain Corp delivers insightful and efficient automated solutions in both commercial floor cleaning and inventory management, empowering organizations and their employees to achieve more. Brain Corp currently powers more than 30,000 AMRs, representing the largest fleet of its kind in the world. Brain Corp is funded by the SoftBank Vision Fund, Clearbridge, and Qualcomm Ventures.

Named a top workplace by the San Diego Union Tribune and USA today in 2025, we make life-changing impacts through innovation, helping workers globally unlock their abilities in orchestration with intelligent machines.

Position Overview:

The Senior Software Development Engineer in Test (Sr. SDET) is a software engineer responsible for designing and implementing automated validation systems that ensure the reliability and quality of software applications and services.

Working closely with product developers, platform engineers, and quality teams, the Senior SDET builds automation frameworks, validation tools, and testing strategies that support reliable releases across web applications, cloud services, mobile platforms, and supporting data systems.

Unlike traditional QA roles, the Senior SDET contributes code alongside development teams and plays a key role in improving testing practices, automation coverage, and CI/CD workflows. This role also provides technical guidance to other engineers and helps drive improvements in quality engineering practices across the team.

Essential Job Functions:

Automation Development & Test Engineering

• Design and implement automated testing solutions for web applications, APIs, backend services, and supporting systems
• Develop and maintain test automation frameworks and validation tools using Python in Linux-based environments
• Create automated tests for functional, integration, and regression validation of software systems
• Define and implement testing strategies for features and services within a product area
• Contribute to the improvement of automation frameworks, testing infrastructure, and engineering tooling

Simulation-Based Validation

• Develop complex simulation scenarios that replicate real-world environments and edge cases to support system validation and regression testing
• Collaborate with engineering teams to integrate simulation-based testing using tools such as NVIDIA Isaac Sim into automated testing workflows

CI/CD & Engineering Workflow Integration

• Integrate automated validation into CI/CD pipelines to support reliable and efficient release processes
• Collaborate with product developers to ensure systems are testable, observable, and reliable
• Participate in architecture discussions and design reviews to ensure new systems can be effectively validated

Quality Insights & Reporting

• Investigate complex test failures, analyze system behavior, and support root cause analysis with engineering teams
• Develop and maintain quality dashboards and reporting tools that provide insight into product health and system reliability
• Help ensure traceability between requirements, implementation, and validation activities

Engineering Documentation & Collaboration

• Collaborate with cross-functional teams to ensure clear requirements, acceptance criteria, and validation strategies
• Document validation approaches, testing strategies, and key findings to support engineering teams and product development

AI-Assisted Development & Testing

• Apply Generative AI (GenAI) tools to improve software development workflows, test generation, debugging, and engineering productivity
• Contribute to efforts that incorporate GenAI capabilities into development or product features where applicable

Technical Leadership & Mentorship

• Mentor SDET I and SDET II engineers on automation practices, debugging, and software engineering techniques
• Provide technical guidance to team members and help promote modern quality engineering practices across the team

Education and/or Work Experience Requirements: 

• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering or equivalent practical experience 
• 5+ years of professional experience developing software, test automation, or validation tooling for production software systems
• Demonstrated ability to design and implement automated testing solutions using Python within Linux-based development environments
• Hands-on experience developing or improving test automation frameworks and validation tooling used to validate application or service behavior
• Strong understanding of software testing methodologies, including designing and implementing unit, integration, and system-level testing strategies
• Practical experience validating web applications, APIs, and distributed services, including identifying integration issues and supporting root cause analysis
• Demonstrated experience integrating automated validation into CI/CD pipelines to support continuous delivery and reliable release workflows
• Proficiency using Git-based version control workflows and collaborating through issue tracking systems such as Jira or similar platforms
• Experience working across the full software development lifecycle within Agile development environments, collaborating closely with developers and product teams
• Strong debugging and analytical skills, including the ability to investigate complex failures and identify root causes in distributed systems
• Excellent communication, collaboration, and technical documentation skills

Preferred Experience:

• Hands-on experience developing automated tests using modern web automation frameworks such as Playwright, Cypress, or Selenium
• Practical experience validating cloud-hosted services or applications deployed on AWS, GCP, or Azure
• Working knowledge of containerized development environments, including running applications or automated tests using Docker
• Experience validating data pipelines or data platforms, including validating structured data used by services or analytics workflows
• Experience using observability or monitoring platforms (e.g., logs, metrics, tracing) to troubleshoot failures and analyze system behavior
• Demonstrated use of Generative AI tools to improve development or testing workflows, such as generating test cases, debugging assistance, or documentation
• Experience developing or executing simulation-based validation scenarios in virtual environments to support system-level testing

Things that make a difference:

• Master’s degree in Computer Science, CE, EE
• Experience validating machine learning systems or ML-enabled applications, including model inference services, training data pipelines, or model output validation
• Experience with NVIDIA Isaac Sim or similar robotics simulation platforms
• Experience working in environments that combine cloud services, mobile applications, and data platforms
• Experience in mobile robotics or industrial automation is a plus
• Experience with common sensors used in robotics, including cameras (RGB and Depth), LIDARs, IMUs and Sonars is a plus

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The physical activity of this position includes, kneeling; reaching; pushing; pulling; sitting, standing and walking for periods of time; using hands to finger and grasp; repetitive motion; talking and hearing. close visual acuity to prepare and analyze data and figures; transcribing; viewing a computer terminal; extensive reading; visual inspection involving small defects, small parts, and/or operation of machines; use of measurement devices; and/or assembly or fabrication parts at distances close to the eyes; push or pull up to 20 pounds.

Work Environment:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The noise level in the work environment is usually quiet to moderate. Employees are exposed to the typical office environment with computers, printers and telephones.

Salary Range:

The anticipated salary range for candidates who will work in San Diego, California is $111,449 to $136,215.The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to the type and length of experience within the job, type and length of experience within the industry, education, etc. Brain Corp is a multi-state employer and this salary range may not reflect positions that work in other states.

Who we are:

Raft (https://TeamRaft.com) is a customer-obsessed non-traditional defense tech company dedicated to empowering U.S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in autonomous data fusion and Agentic AI, with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development. With headquarters in McLean, VA, our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans.

About the Role:

We are seeking a Platform Engineer with an active Top Secret/SCI clearance to play a pivotal role in automating and orchestrating our critical infrastructure. This position is ideal for a technical expert passionate about deploying, managing, and optimizing system infrastructures using the latest technologies in system automation, container orchestration, and open-source applications. You'll be based in San Diego, Ca or Oahu, Hi and work on projects vital to national security and technological advancement.

Key Responsibilities:

• Implement and manage system automation using Ansible and Puppet, ensuring efficient configuration across RHEL and Windows platforms
• Deploy and maintain Kubernetes clusters with RKE2 and Rancher, focusing on scalability, reliability, and security
• Manage a wide array of open-source applications (NiFi, Kafka, Zookeeper, MinIO, Keycloak, Longhorn, Grafana, Prometheus, Loki, Promtail, GitLab), enhancing our capabilities in data processing, storage, and monitoring
• Ensure the highest level of system performance and security across all platforms and technologies
• Collaborate with teams to understand project requirements, providing technical solutions that align with strategic goals
• Maintain comprehensive documentation on system configurations, deployments, and operational practices

Required Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related discipline
• 7+ years of hands-on experience managing enterprise Linux and Windows systems, including:
  • Configuration management with Ansible and Puppet
  • Kubernetes operations (RKE2 and Rancher preferred)
• Strong troubleshooting and problem-solving skills in complex, distributed environments
• Ability to communicate effectively across technical and non-technical stakeholders and work collaboratively within cross-functional teams

Preferred Skills:

• Master’s degree in Computer Science, IT, Engineering, or a related field
• Experience operating and supporting the following technologies in production environments:
  • NiFi, Kafka, Zookeeper, MinIO, Keycloak, Longhorn
  • Grafana, Prometheus, Loki, Promtail
  • GitLab and CI/CD pipelines
• Deep understanding of containerization and cloud-native architectures
• Demonstrated experience with system performance tuning, capacity planning, and reliability engineering

Clearance Requirements:

• Active Top Secret with ability to obtain and maintain SCI

Work Type:

• Onsite at Oahu, Hawaii
• May require up to 10% travel

Salary Range: $100,000 - $170,000

• The determination of compensation is predicated upon a candidate's comprehensive experience, demonstrated skill, and proven abilities

What we will offer you: 

• Highly competitive salary
• Fully covered healthcare, dental, and vision coverage
• 401(k) with company match
• Take as you need PTO + 14 paid holidays
• Generous Referral Bonuses
• And More!

Our Vision Statement: 

We bridge the gap between humans and data through radical transparency and our obsession with the mission. 

Our Customer Obsession: 

We will approach every deliverable like it's a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies.

How do we get there? 

Public-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems. And, if we are successful, our generation and the ones that follow us will live in a delightful, efficient, and accessible world where out-of-box thinking, and collaboration is a norm. 

Raft’s core philosophy is Ubuntu: I Am, Because We are. We support our “nadi” by elevating the other Rafters. We work as a hyper collaborative team where each team member brings a unique perspective, adding value that did not exist before. People make Raft special. We celebrate each other and our cognitive and cultural diversity. We are devoted to our practice of innovation and collaboration. 

Your Rights: California residents have the right to request information about personal data collected and to request deletion, subject to certain exceptions. Note that employment-related information is subject to specific exemptions under CCPA. Contact Us: For questions about this notice or to exercise your privacy rights, contact: operations@teamraft.com or (703)570-4820.

The Role

As Staff Data Engineer, you will provide senior onshore technical leadership for the data engineering team. You will own a defined slice of our centralized Databricks data platform with full accountability for decisions and delivery, serve as a technical counterpart to the Principal Data Platform Engineer, and drive architectural judgment and independent problem-solving as platform complexity scales post-migration.

This is a hands-on data engineering role focused on building and maintaining production pipelines, exercising architectural judgment on data modeling and pipeline design, and serving as the onshore escalation point and institutional knowledge backup for platform decisions.

The Business Challenge

We operate multiple product lines (Transfer Pricing, R&D Services, RoyaltyStat, Provisioning), each with distinct databases containing enterprise financial data—journal entries, general ledgers, and financial statements. Our immediate challenge is migrating multi-terabyte datasets from legacy systems to a unified Databricks lakehouse while establishing governance patterns that enable multi-product operations at scale. As the platform matures, the data engineering team needs senior onshore technical presence to drive architecture ownership and maintain platform quality.

What You'll Build

• Production Data Pipelines: Build and maintain production data pipelines within the patterns and governance established by the Lead Data Platform Engineer, ensuring reliability and performance at multi-terabyte scale.
• Data Modeling & Architecture: Exercise architectural judgment on data modeling, pipeline design, and platform usage—translating complex business requirements into scalable data solutions across our product portfolio.
• Stakeholder Engagement: Engage proactively with product and engineering stakeholders to translate requirements into data solutions, serving as the primary onshore technical point of contact for data engineering needs.
• Platform Quality: Drive platform quality through code reviews, testing practices, and engineering standards that ensure the team delivers reliable, maintainable data infrastructure.
• Knowledge & Continuity: Serve as onshore escalation point and institutional knowledge backup for platform decisions, reducing single-point-of-failure risk and building onshore technical depth as the platform scales.

Business Problems You'll Solve

• Multi-Product Data Delivery: Implement data pipelines that serve multiple product lines (Transfer Pricing, R&D Services, RoyaltyStat, Provisioning) with distinct data requirements, ensuring each product gets the data it needs reliably and on schedule.
• Legacy Migration Execution: Lead pipeline implementation for migrating multi-terabyte datasets from legacy systems to Databricks, working within the architecture defined by the Lead Data Platform Engineer.
• Onshore Technical Leadership: Provide the senior judgment layer the current nearshore team cannot—owning problems end-to-end, making independent architectural decisions, and mentoring engineers to raise the quality bar across the team.
• Cross-Team Coordination: Bridge the gap between product teams and data infrastructure, translating business requirements into data solutions and ensuring the data platform delivers on product commitments.

Required Experience

Core Data Engineering

• SQL, Python, and PySpark—production pipeline implementation and performance optimization
• Databricks experience—Delta Lake, Workflows, and Databricks SQL; Unity Catalog familiarity preferred
• 5+ years in data engineering with demonstrated ability to own problems end-to-end without close direction
• Experience building and maintaining ETL/ELT pipelines at scale, including error handling, monitoring, and data quality validation
• Strong data modeling skills across structured and semi-structured data sources

Platform & Infrastructure

• AWS experience (S3, IAM, VPC) with ability to collaborate on infrastructure decisions
• Infrastructure-as-code experience (Terraform preferred)
• Familiarity with data governance patterns (Unity Catalog, data lineage, access controls)

Technical Leadership

• Demonstrated ability to exercise independent architectural judgment—not just ticket execution
• Experience mentoring or guiding junior and mid-level data engineers
• Strong written and verbal communication—able to document architecture decisions and engage directly with both technical and business stakeholders
• Onshore (US-based)—role requires timezone overlap, async-light communication, and direct stakeholder engagement

Preferred But Not Required

• Experience with financial data, accounting systems (NetSuite), or enterprise ERP platforms
• Background building pipelines that serve AI/ML workloads (preparing data for downstream ML consumption, RAG, and LLMs)
• Familiarity with data governance frameworks and compliance requirements for regulated industries
• Experience working alongside or transitioning from nearshore engineering teams

What We Offer