What you’ll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

• Install, configure, and maintain AI platform and tools.
• Design, deploy, and operate infrastructure supporting ML and LLM workloads.
• Build, containerize, and deploy AI services using Docker.
• Build and maintain Machine Learning CI/CD pipelines for training, testing, and deployment.
• Deploy and manage AI services across cloud and on-prem environments.
• Automate infrastructure provisioning using Terraform and Infrastructure-as-Code best practices.
• Monitor system performance, reliability, and scalability of AI platforms.
• Implement observability for agentic AI systems to ensure reliability, transparency, and debuggability.
• Perform regular security updates, patching, access control, and vulnerability remediation.
• Integrate AI tools with APIs, data platforms, and internal systems.
• Research, evaluate, and prototype new AI, LLM, and MLOps tools.
• Troubleshoot infrastructure, data, and deployment issues.
• Research, test, and prototype emerging AI technologies.
• Document system architecture, deployment processes, and operational runbooks.

Location & Travel Expectations:

• This role is based out of the Scout Motors corporate headquarters in Charlotte, NC.
• This role requires 4-5 days per week in the office, with regular in-person meetings and events. 
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

• Bachelor's degree in computer science, information technology, or related field or equivalent work experience.
• 7+ years Practical experience with LLM platforms, LLMOps, and MLOps.
• Experience deploying and maintaining AI or data platforms in production.
• Hands-on experience with AI/automation tools.
• Experience designing and orchestrating agentic automation workflows.
• Strong experience with Terraform and Infrastructure-as-Code.
• Proven experience deploying applications using Docker (Docker files, image optimization, container lifecycle).
• Expertise with cloud platforms such as AWS.
• Expertise with CI/CD tooling (GitHub Actions, GitLab CI).
• Strong Knowledge of Kubernetes and orchestration.
• Solid understanding of networking.
• Experience supporting high-availability, production AI systems.
• Scripting skills (Python, PySpark, Bash).
• Knowledge of security best practices, patch management, and access controls.
• Collaborate with engineering, data, and product teams to support AI initiatives.
• Excellent problem-solving and troubleshooting skills. When a problem occurs, you run towards it not away.
• Effective communication and collaboration skills. You treat colleagues with respect. You have a desire for clean implementations but are also humble in discussing alternative solutions and options.
• A teaching and coaching approach to guiding engineers and teams in approaches.
• Minimum of High School Diploma, GED or equivalent required for all roles at Scout Motors, Inc.

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range = $140,000.00 - $170,000.00

Internal leveling code: IC8

What you’ll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

• Perform nonlinear structural simulations using LS-DYNA for component, subsystem, and full-vehicle applications.
• Analyze structural performance, load paths, stiffness, intrusion, and energy management across crash scenarios.
• Build, manage, and execute high-fidelity FE models using ANSA, Primer, and HyperMesh.
• Correlate structural CAE predictions with physical test data and support post-test reviews and root-cause investigations.
• Develop structural countermeasures and support design teams with data-driven recommendations.
• Support CAE integration across crash, NVH, durability, thermal, aero, and vehicle-dynamics domains.
• Review structural changes, reinforcements, joints, and stiffness updates for cross-attribute impacts.
• Contribute to vehicle milestone readiness, design releases, and cross-functional sign-off activities.
• Participate in multi-attribute technical reviews and support continuous improvement of CAE tools and processes.
• Support implementation of AI/ML tools to streamline CAE workflows, including automated preprocessing, model setup, and simulation quality checks.
• Support development and use of AI-driven predictive models to complement traditional simulations, improve early design guidance, and assist cross-attribute decision-making.

Who You Are

• A technically strong CAE engineer with a solid understanding of vehicle crashworthiness and structural mechanics.
• Comfortable working in a cross-functional OEM product development environment.
• Detail-oriented, analytical, and capable of balancing engineering rigor with program timing.
• Able to communicate complex technical results clearly to engineering and non-engineering stakeholders.
• Motivated by building safe, durable vehicles and continuously improving engineering processes.

Location & Travel Expectations:

• This role is based out of the Scout Motors corporate headquarters in Charlotte, NC.
• This role requires 4-5 days per week in the office, with regular in-person meetings and events.
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time to test facilities, supplier sites, or manufacturing location
• Travel: Domestic and international travel required, approximately 10% of the time. Valid driver's license required. 

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

Required

• Bachelor’s degree in mechanical engineering or a related field.
• 10+ years of experience in structural crash CAE within an automotive OEM or Tier-1 supplier environment.
• Hands-on experience with LS-DYNA.
• Proficiency with CAE pre- and post-processing tools such as ANSA, Primer, HyperMesh, or equivalent.
• Working knowledge of global crash regulations and consumer safety protocols.
• Strong technical documentation and communication skills.
• Ability to work legally in the United States without employer sponsorship.

Preferred

• Master’s degree in mechanical engineering or related discipline.
• Experience with electrified vehicles (BEV/REEV) and/or frame-based vehicle architectures.
• Exposure to CAE–test correlation, DOE, or robustness studies.
• Familiarity with advanced material or damage models (e.g., GISSMO).
• Experience supporting OEM release and sign-off processes.

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range = $130,000.00 - $160,000.00

Internal leveling code: IC8

What you’ll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

Be responsible for the electrical hardware design and release of electrical switches and switch modules. Your scope can cover from clean sheet of paper through virtual development, testing/sign-off and manufacturing launch for Scout rugged SUV’s and pick-ups.

• Work with Studio, Concept, Purchasing and Finance counterparts to develop technical specifications in support of the quoting and sourcing process.
• Manage supplier resources efficiently to deliver components and systems that meet cost, timing, and quality targets.
• Work with suppliers to develop robust electrical design verification and validation plans, perform virtual and physical testing, and ensure issues are resolved prior to program validation signoff milestones.
• Define electrical interfaces for switch modules that conform with vehicle EE architecture, power distribution, grounding, diagnostics, and network communication requirements.
• Collaborate with software and systems teams on switch logic, diagnostics, and fault handling.
• Ensure designs conform to safety standards and U.S. government regulations.
• Proactively stay attuned to consumer experience and propose system improvements accordingly.
• Be part of a diverse team fostering a collaborative and high-performance culture, promoting continuous learning and professional development among team members.

Location & Travel Expectations:

• This role will be based out of the Scout Motors location in Novi, Michigan. 
• This role requires 4-5 days per week in the office, with regular in-person meetings and events. 
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

• Bachelor’s or master’s degree in electrical engineering, or combined electrical/mechanical engineering, systems engineering, or a relevant field.
• 5 to 10 years of experience in electromechanical component areas with a focus on switch design, and relevant automotive assignments covering all phases of product development (design, test, and launch).
• Strong technical skills and expertise in human-machine interfaces design, switches and related electromechanical components and systems, employing a six-sigma approach to engineering design and problem-solving.
• Familiarity with computer-aided engineering (CAE) or direct experience in this field.
• Knowledge of diagnostics, DTCs, and switch fault handling.
• Experience dealing with industrial design studio and CMF (color, material and finish) requirements.
• Ability to build strong working relationships with individuals at all organizational levels.
• Experience with light and color harmony.
• Experience with switch haptics and mechanical design.
• Supplier (not limited to tier 1) management and engagement experience to ensure design robustness and performance matrix compliance for on-time delivery from kick-off to post SOP.
• VW group experience is desirable

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial Base Salary Range: $110,000.00 - $135,000.00

Internal Leveling Code: IC9

What you’ll do

As the Senior Staff Software Engineer for Scout Motor’s digital products, you will be responsible for leading a team of highly skilled software engineers and driving the development of digital solutions for our customers and business partners. Some of the key products as part of digital portfolio are – order management, customer management, marketing, production, inventory and planning optimization, loyalty, merchandise, servicing and repairs, mobile app, vehicle connectivity, and more. You will work with engineering managers, senior engineers, and cross-functional partners to design the technical underpinnings of the product. At the same time, you’ll have plenty of opportunities to be hands-on building key systems and will be directly responsible for the successful delivery of complex and large-scale technical efforts as well acting as a technical mentor and leader for other engineers. 

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

• Work with engineers & technical leaders across the company to ship interoperable products and systems on strong foundations that manage customer interactions inside and outside of the vehicle. 
• Partner with cross-functional partners (from product and design) to produce how and when plans to support systems and product requirements. Make effective tradeoffs that consider business priorities, user experience, and a sustainable technical foundation 
• Assess and recommend key tools and technology decisions that will power the digital product ecosystem. Influence decisions on build/buy/partner, contemplating today’s needs, and future enterprise requirements. 
• Develop technology and best practices capable of supporting scalable, functional, and reliable software products and their associated integrations.  
• Develop and lead the team to execute against both short-term and long-term roadmaps. Design, code, deploy and operate technical architecture and systems.  
• Identify, scope, and lead large technical projects, laying the groundwork for early-stage products to iteratively evolve and scale, and taming complexity and shoring up reliability of existing systems 
• Champion software engineering and operational excellence, establishing and improving metrics and processes. Set a high bar for engineering standards, tooling, and processes. 
• Assist in calibrating and developing the software engineering team. 
• Recruit and manage a team of software engineers, setting the bar for quality software development. 

Location & Travel Expectations:

• This role will be based out of a Scout Motors location in Fremont, CA.
• The responsibilities of this role require attendance in the office with in-person meetings and events regularly.
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

• Bachelor's or master's degree in computer science or a related field.  
• 10+ years of experience in software engineering and scaling software products, providing technical leadership and direction for development, preferably with a focus on ecommerce, payments, digital products, and back-end platform development. 
• Experience building comprehensive understanding of APIs, microservices, and other complex backend systems. 
• Strong coding skills, navigating codebases with different languages (GoLang, Java, Kotlin and Swift) and tools, building and managing CI/CD pipelines supporting both web and mobile releases.   
• Knowledge of potential system vulnerabilities and how to prevent them. 
• Experience operating in start-up settings, launching 0 to 1 product, supporting early low-code tools, and driving graduation to highly customized applications. 
• Experience as a technical lead for large projects (6+ months in length), including defining the roadmap for complex projects spanning multiple teams and functions 
• Ability to internalize the best ideas from across the organization, humbly setting a vision that others are excited to get behind  
• Experience integrating with 3rd party platforms and partnering with external service providers.  
• 4+ years in leading high-performing software engineering teams. Direct evidence of the ability to guide, motivate, and inspire a team towards the successful completion of complex projects.  

Preferred:

• Experience building data pipes, AI/ML and web/mobile analytics. 
• Experience building systems in auto industry 
• Full-stack development  

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range = $180,000.00 - $220,000.00

CA initial base salary range= $198,000 - $242,000

Internal leveling code: IC7

About the Team

The Data Platform Team at Scout is dedicated to unlocking the full potential of data by building a secure, scalable, and distributed platform that enables real-time insights, drives informed decision-making, and fosters innovation across the organization.

Our mission is to empower teams with actionable intelligence by streamlining data sharing, ensuring regulatory compliance, maintaining data integrity, and optimizing costs at every level.

This role is focused on building foundation for deploying AI-enabled use cases across company operations.

What you’ll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

• Contribute to the design, implementation, and maintenance of the overall cloud infrastructure data platform using modern IaC (Infrastructure as Code) practices.
• Work closely with software development and systems teams to build Data Integration solutions.
• Design and build Data models using tools such as Lucid, Talend, Erwin, MySQL workbench.
• Define and enhance enterprise data model to reflect relationships and dependencies.
• Review application data systems to ensure adherence to data governance policies.
• Design and build ETL (Python), ELT(Python) infrastructure, automation, and solutions to transform data as required.
• Design and Implement BI dashboards to visualize Trends and Forecasts.
• Design and implement data infrastructure components, ensuring high availability, reliability, scalability, and performance.
• Design, train and deploy ML models
• Implement monitoring solutions to proactively identify and address potential issues.
• Collaborate with security teams to ensure the data platform meets industry standards and compliance requirements.
• Collaborate with cross-functional teams, including product managers, developers, and business partners to ensure robust and reliable systems.

Location & Travel Expectations:

• This role is based out of the Scout Motors corporate headquarters in Charlotte, NC.
• The responsibilities of this role require 4-5 days attendance in office with in-person meetings and events regularly. 
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

• Bachelor's degree in computer science, information technology, or related field or equivalent work experience.
• 7+ years of hands-on experience as DataOps Engineer in a manufacturing or automotive environment.
• Experience with streaming and event-based architecture.
• Experience implementing data lakehouse solutions using Databricks.
• Experience with infrastructure as code (Terraform).
• Proficient in building data pipelines using languages such as Python and SQL.
• Experience with AWS based data services such as Glue, Kinesis, Firehose or other comparable services.
• Experience with Structured, unstructured and time series databases.
• Solid understanding of cloud data storage solutions such as RDS, DynamoDB, DocumentDB, Mongo, Cassandra, Influx.
• Several years of experience working with cloud platforms such as AWS and Azure.
• Proven ability to develop and deploy scalable ML models.
• Hands-on experience in designing, training, and deploying ML models
• Strong ability to extract actionable insights using ML techniques
• Ability to leverage ML algorithms for forecasting trends and decision-making
• Excellent problem-solving and troubleshooting skills. When a problem occurs, you run towards it not away.
• Effective communication and collaboration skills. You treat colleagues with respect. You have a desire for clean implementations but are also humble in discussing alternative solutions and options.

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range = $140,000.00 - $170,000.00

Initial California base salary range = $154,000.00 - $187,000

Internal leveling code: IC8

About the role

Thatch is rewiring how health benefits work. We build software that gives employees real control over how they use their benefits.

We’re looking for a Backend Software Engineer to design and build the core systems that power Thatch. This includes data models, fund flows, automations, and integrations that make healthcare benefits work reliably at scale. Your work ensures money moves correctly, benefits remain compliant, and complex processes work reliably. This work touches real money and real healthcare decisions. The systems you build must be correct, resilient, and built to scale.

We organize engineering around the people we serve: members, employers, and partners, so teams own end-to-end experiences and ship with speed and accountability.

Purpose

As a Proposal Manager, you will sit at the center of Divergent’s most critical growth efforts and own the development and execution of complex, high-value proposals from initial strategy through final submission. You will serve as the connective tissue across program management, business development, engineering, legal, finance, and executive teams, ensuring all contributors are aligned while juggling multiple proposal responses and ensuring they stay on track for successful delivery. 

You will drive response strategy, shaping how Divergent’s capabilities are positioned against customer requirements and competitive dynamics. This includes highlighting strengths, identifying risks, and working directly with technical subject matter experts to refine solutions and mitigate gaps. You will own proposal planning, generation, execution, and submission end-to-end, including compliance, review cycles, pricing alignment, and final submission. 

This role requires exceptional project management and attention to detail, as well as creativity, critical thinking, and bias towards action.  

The Role

• Own end-to-end proposal responses, serving as primary author and integrator of cross-functional inputs
• Develop response structure and compliance, ensuring adherence to solicitation instructions and all applicable federal, prime, and regulatory requirements
• Translate complex technical inputs into clear, compelling narratives that highlight Divergent’s differentiated capabilities and align to evaluation criteria, while maintaining consistency across volumes
• Drive response strategy in partnership with business development teams, including win themes, differentiators, and competitive positioning
• Partner with business development, program management, and executives to drive pricing strategy and price-to-win alignment, increasing proposal competitiveness and PWIN.
• Coordinate and manage complex, cross-functional review cycles, ensuring actionable feedback is incorporated effectively and on schedule
• Track customer priorities and competitive dynamics to continuously refine bids and positioning
• Support drafting a range of informational and marketing materials, such as white papers, pitch decks, and more.

Basic Qualifications

• Ability to lawfully access information and technology that is subject to US export controls 
• 5+ years of experience in proposal management or similar writing- and project management–intensive roles, with a strong track record of delivering high-quality, technically complex, deadline-driven work
• Able to bring structure to ambiguous, fast-moving environments
• Bias towards action and proven ability to manage complex, cross-functional efforts with multiple stakeholders under tight deadlines while maintaining high standards for quality and compliance
• Exceptional writing and communication skills, with the ability to synthesize technical, legal, and business inputs into clear, persuasive narratives
• Highly organized, detail-oriented, and capable of managing multiple concurrent proposals at different stages
• U.S. citizen eligible and willing to obtain a Secret or Top Secret security clearance

Preferred Qualifications

• Experience operating in fast-paced, innovation-driven environments such as software, advanced manufacturing, or similar
• Familiarity with standard bid and proposal processes, with the judgment to adapt them for speed and agility in non-traditional contracting environments
• Demonstrated experience managing large, complex proposals (e.g., multi-volume RFPs, IDIQs, or strategic captures) end-to-end and winning major contracts
• Strong understanding of federal acquisition processes, procurement cycles, and government contracting frameworks
• Experience supporting pricing strategy, including collaboration on cost volumes and price-to-win

Work Environment

• This position will be based either in Washington DC (remote) or hybrid/onsite in our Torrance, CA office

Compensation

At Divergent, our pay range is based on the level of the job. For this role, we will consider candidates at levels S05 - S06 as evaluated through our interview process. 

• S05/Senior level: $115,670 - $159,050
• S06/Lead level: $133,580 - $183,680

We are seeking a highly motivated and experienced Senior FinOps Engineer to join our team. This role is central to managing, optimizing, and forecasting our technology spending across multiple platforms, including major cloud providers, monitoring tools (like Datadog), and emerging technologies such as Large Language Models (LLMs). The ideal candidate will possess a strong blend of financial acumen, cloud engineering expertise, and excellent communication skills to drive cost-conscious decision-making across the organization.

Responsibilities

Financial Management and Optimization

• Monitor, analyze, and report on technology spending across various cost centers, including cloud infrastructure (AWS, Azure, GCP, etc.), Datadog licensing, and usage of LLM APIs/services.
• Develop and maintain detailed monthly financial reports and dashboards for leadership, providing clear insights into spend trends, variances, and optimization opportunities.
• Collaborate with engineering and product teams to implement cost-saving initiatives, such as identifying underutilized resources, negotiating reserved instance commitments, and optimizing service architectures.
• Establish and track key FinOps metrics (e.g., unit cost, utilization rate, efficiency gains) and drive accountability for spending.
• Conduct monthly deep-dive analyses on significant cost drivers, making actionable recommendations for adjustment and optimization.

Tooling, Reporting, and Automation

• Administer and configure FinOps tools and platforms to ensure accurate cost allocation, showback/chargeback mechanisms, and real-time visibility into spending.
• Develop and maintain custom scripts and automation workflows to enforce spending policies and manage resource lifecycles (e.g., auto-shutdown of non-production environments).
• Standardize and streamline reporting processes, leveraging data visualization tools to present complex financial data simply and effectively.

Vendor and Contract Management

• Assist in the evaluation, negotiation, and renewal processes for technology contracts, including cloud enterprise agreements, Datadog licenses, and LLM service subscriptions.
• Work closely with procurement and legal teams to ensure contracts align with business needs and financial objectives, focusing on optimal pricing and usage tiers.
• Monitor vendor performance against contractual agreements and track realization of anticipated savings.

Governance and Education

• Establish and champion FinOps best practices and governance frameworks across engineering and finance teams.
• Develop and deliver training and documentation to educate teams on cost management tools, cloud pricing models, and optimization techniques.
• Act as a central point of contact for all cloud, Datadog, and LLM spending inquiries.

Qualifications

Required Skills and Experience

• 3+ years of experience in a FinOps, Cloud Financial Management, or similar role.
• Deep understanding of major public cloud billing and pricing models (AWS, Azure, or GCP).
• Proven ability to build and maintain comprehensive financial reports and dashboards for executive leadership.
• Experience administering or utilizing cost monitoring and observability tools, with specific knowledge of Datadog usage/licensing preferred.
• Proficiency in data analysis tools (e.g., SQL, Python, Excel) and data visualization platforms (e.g., Tableau, Power BI, Looker).
• Familiarity with contract negotiation principles and vendor management processes.
• Strong communication skills, with the ability to translate technical cost data into clear business terms.

Desired Qualifications

• FinOps Certified Practitioner (FOCP) or FinOps Certified Professional certification.
• Experience managing costs related to machine learning, AI, or LLM services (e.g., OpenAI, Anthropic, or cloud-native LLM services).
• Familiarity with Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation) and their role in cost governance.
• Bachelor’s degree in Computer Science, Finance, Business, or a related quantitative field.

Successful candidates must be able to demonstrate U.S. citizenship, permanent residency, or status as a protected individual to satisfy ITAR, contractual, and/or regulatory requirements.

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications. 

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $133,400 - $200,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

As a Senior DevOps Engineer, you will be a key contributor to our infrastructure strategy, focusing on automation, stability, and performance across both cloud and on-premise environments. You will drive best practices in CI/CD, configuration management, and monitoring, with a specific focus on optimizing the deployment and operation of large language models (LLMs) and related technologies.

Responsibilities

• Design, deploy, and manage highly available, scalable infrastructure using Kubernetes and Docker across public cloud (e.g., AWS, GCP, Azure) and on-premise data centers.
• Develop and maintain robust Configuration Management solutions (e.g., Ansible, Terraform) for consistent environment provisioning and management.
• Implement and manage CI/CD pipelines to facilitate rapid, reliable, and automated software releases.
• Administer and troubleshoot operating systems, encompassing both Linux and Windows environments.
• Implement and optimize observability practices using monitoring tools like Datadog for logging, tracing, and alerting.
• Spearhead the operational deployment, scaling, and maintenance of LLM infrastructure, leveraging tools like LiteLLM, OpenRouter, or similar LLM orchestration/gateway technologies.
• Automate repetitive tasks and system operations using scripting languages, primarily Bash and Python.
• Collaborate closely with development, MLOps, and security teams to ensure infrastructure supports product requirements and compliance standards.
• Participate in an on-call rotation to ensure service reliability and responsiveness to incidents.

Qualifications

Required Skills

• 5+ years of professional experience in a DevOps, SRE, or infrastructure engineering role.
• Deep expertise in containerization and orchestration, specifically Kubernetes (design, deployment, and troubleshooting) and Docker.
• Strong proficiency in managing infrastructure in both Cloud (e.g., AWS, GCP, Azure) and On-Premise environments.
• Expert-level administration skills in Linux and strong working knowledge of Windows Server environments.
• Proven experience with Infrastructure as Code (IaC) and Configuration Management tools (e.g., Terraform, Ansible).
• High proficiency in scripting and automation using Python and Bash.
• Extensive experience with monitoring and observability platforms, especially Datadog (or comparable tools like Prometheus/Grafana, New Relic).
• Hands-on experience deploying and managing technologies related to Large Language Models (LLMs), such as utilizing LiteLLM, OpenRouter, or setting up and managing LLM serving endpoints.

Nice-to-Have Skills

• Experience with specific Kubernetes distributions (e.g., K3s, Rancher, OpenShift).
• Familiarity with network configuration, firewalls, and security best practices for hybrid environments.
• Experience in MLOps workflows and related tools (e.g., MLflow, Kubeflow).
• Certifications such as CKA, CKAD, or relevant cloud provider certifications.

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $133,400 - $200,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws. Successful candidates must be able to demonstrate U.S. citizenship, permanent residency, or status as a protected individual to satisfy ITAR, contractual, and/or regulatory requirements.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

We are looking for a heavy-hitter to build the "Data Backbone" of our company. You will be responsible for the architecture, scaling, and reliability of the infrastructure that powers our Data Engineering and ML teams. Your goal is to provide a seamless, self-service environment where data scientists can go from a JupyterHub notebook to a massive Ray cluster or Trino query without worrying about the underlying hardware.

Responsibilities

• Data Plane Ownership: Architect and manage the lifecycle of high-throughput data tools including Trino, Ray, and JupyterHub on Kubernetes.
• GitOps & Automation: Drive a "zero-manual-touch" philosophy using ArgoCD and Terraform to manage complex, stateful data environments.
• Observability at Scale: Build high-cardinality monitoring systems using VictoriaMetrics and Vector to track pipeline health, data ingestion rates, and system performance.
• ML Lifecycle Support: Maintain and optimize MLflow for model tracking, ensuring it integrates deeply with our compute and storage layers.
• Engineering Sovereignty: As a self-starter, you will identify performance bottlenecks in data processing and proactively implement infrastructure-level optimizations.
• Reliability: Participate in on-call rotations for the data stack, treating "data downtime" with the same urgency as a site outage.

The Technical Toolkit

Qualifications:

• The "Data-Aware" Engineer: You understand that scaling a database or a Ray cluster is different from scaling a stateless API. You know how to handle persistent volumes and data gravity.
• Senior Leadership: You’ve spent time in the trenches. You’ve been on-call for 2:00 AM outages and have built the automation to ensure those outages never happen twice.
• Tooling Polyglot: You don't just use tools; you contribute to them. You are comfortable writing Go or Python to extend Kubernetes Operators or automate data workflows.
• Self-Directed: You thrive in ambiguity. You can take a high-level requirement ("Make Trino faster") and turn it into a multi-week infrastructure roadmap.
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Successful candidates must be able to demonstrate U.S. citizenship, permanent residency, or status as a protected individual to satisfy ITAR, contractual, and/or regulatory requirements.

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $182,400 - $228,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

Purpose

We are seeking a highly motivated and adaptable Indirect Category Manager to support strategic sourcing and procurement activities across Divergent 3D and Czinger.

This role supports a broad range of indirect procurement categories including IT/software, HR, marketing, professional services, finance, legal, travel, facilities, construction, and other G&A related spend. Depending on business priorities and candidate experience, the individual may primarily support specific procurement categories and provide additional support where needed on all other indirect categories.

The ideal candidate thrives in a fast paced, high growth environment and is equally comfortable driving sourcing strategy, managing supplier relationships, supporting stakeholders through business requirements, and executing procurement activities from intake through supplier performance management.

This individual will play a key role in helping scale a modern procurement organization by independently leading sourcing initiatives, negotiating commercial agreements, optimizing supplier performance, and partnering cross functionally to support business growth and operational objectives.

Role

Strategic Sourcing & Procurement

• Lead sourcing and procurement activities across multiple indirect spend categories. Partner closely with stakeholders to define business requirements, scope sourcing projects, and support supplier selection decisions.
• Manage end-to-end sourcing initiatives including RFIs/RFPs/RFQs, supplier evaluations, negotiations, contract execution, and supplier onboarding.
• Negotiate pricing, commercial terms, SaaS agreements, statements of work (SOWs), master services agreements (MSAs), service agreements, and other supplier contracts in partnership with Legal and internal stakeholders.
• Drive cost savings, supplier optimization, risk mitigation, and long-term value creation initiatives.
• Support category planning, sourcing strategies, and supplier roadmaps aligned with business objectives and operational priorities.

Supplier & Stakeholder Partnership

• Build and maintain strong supplier relationships focused on quality, responsiveness, scalability, and overall business value.
• Monitor supplier performance, deliverables, and contractual obligations to ensure successful execution of awarded work.
• Serve as a trusted procurement business partner to stakeholders across IT, Engineering, HR, Finance, Facilities, Legal, and Operations.
• Collaborate cross-functionally to support budgeting, forecasting, operational planning, and procurement strategy.
• Help balance cost, quality, speed, scalability, and risk across sourcing decisions.

Procurement Operations & Process Improvement

• Support the continued development and scaling of procurement processes, systems, and best practices.
• Improve procurement efficiency, spend visibility, supplier governance, and reporting capabilities.
• Support implementation and optimization of procurement tools and ERP systems including Zip, Ramp, Navan/Perk, Oracle, Zluri, CLM tool, SAP, Ariba, etc.
• Operate with flexibility across multiple indirect procurement categories while supporting a collaborative and cross-trained team structure.

Basic Qualifications

• Ability to lawfully access information and technology subject to U.S. export controls.
• Bachelor’s degree in Supply Chain Management, Business Administration, Finance, Engineering, or related field.
• 7+ years of experience in indirect procurement, strategic sourcing, category management, or supply chain management.
•  Demonstrated ability to independently manage sourcing projects and supplier negotiations with minimal oversight.
•  Experience leading sourcing initiatives from requirements gathering through contract execution and supplier performance management.
• Strong experience negotiating pricing, commercial agreements, SaaS/software agreements, professional services agreements, SOWs, and MSAs.
• Strong stakeholder management, communication, negotiation, and analytical skills.
• Ability to operate effectively in fast-paced, ambiguous, and evolving environments.
• Experience supporting IT procurement, software procurement, facilities, construction, professional services, HR, marketing, or other indirect spend categories preferred.
• Experience working in high-growth technology, manufacturing, aerospace, automotive, or defense environments preferred.
• Working knowledge of procurement systems and ERP platforms.

Key Performance Metrics

• Achievement of cost savings and value creation targets
• Supplier performance and sourcing execution
• Procurement cycle time and process efficiency improvements
• Internal stakeholder satisfaction and partnership effectiveness
• Contract compliance and supplier risk management
• Operational support aligned with business priorities and timelines

Compensation

At Divergent, our pay range is based on the level of the job. For this role, we will consider candidates at levels S05 - S07 as evaluated through our interview process. 

• SCH S05: $104,040 - $143,055
• SCH S06: $120,190 - $165,240
• SCH S07: $138,805 - 190,868

Purpose

The CNC Programmer (Turning & Grinding Focus) is a highly technical manufacturing role responsible for developing and executing advanced machining processes with a primary focus on horizontal turning mills, mill-turn platforms, and precision grinding operations, while supporting broader CNC machining activities as required. 

This role owns the full machining workflow including process development, fixture design, CNC programming, machine setup support, prove-out, inspection collaboration, and production optimization. The CNC Programmer partners closely with manufacturing engineering, design engineering, and shop operations teams to develop robust, repeatable, and scalable machining strategies for high-performance aerospace, automotive, defense, and energy components. 

Operating in a fast-paced hardware environment, this individual will lead the development of advanced machining solutions for complex rotational hardware and precision-critical components, supporting both prototype development and high-rate production. This role combines deep CAM expertise, strong shop-floor execution, and hands-on manufacturing problem solving.

The Role

Advanced CNC Programming & Machining 

• Develop and optimize CNC programs using CAM software (Siemens NX preferred) for:  

• Horizontal turning mills  

• Multi-axis mill-turn platforms  

• 5-axis grinding systems  

• Standard vertical and horizontal machining centers as needed  

• Program, verify, simulate, and support complex machining operations including:  

• Multi-axis turning  

• Simultaneous 5-axis machining  

• Cylindrical and profile grinding  

• Mill-turn operations  

• Support first article development through stable production release.  

• Create advanced machining strategies for tight-tolerance rotational components and complex geometries.  

• Develop dynamic work offset strategies, probing routines, and multi-operation setup methodologies. 

Process Development & Optimization 

• Analyze new components to determine machining approach, tooling strategy, workholding concepts, and process flow.  

• Design and refine robust machining processes to improve: Cycle time, Surface finish, Dimensional capability, Tool life, Repeatability  

• Develop grinding strategies for precision-critical surfaces, diameters, profiles, and datum structures.  

• Provide Design for Manufacturability (DFM) feedback to engineering teams during product development. 

Fixture Design & Manufacturing Support 

• Design and develop machining fixtures, grinding workholding, soft jaws, and support tooling using CAD (NX preferred).  

• Support fabrication, prove-out, and validation of fixtures and setup concepts.  

• Collaborate with machinists and operators during setup, prove-out, and production troubleshooting.  

• Provide direct shop-floor support during first article builds and process launches. 

Inspection & Quality 

• Interpret engineering drawings and apply GD&T principles to machining and inspection strategies.  

• Collaborate with metrology and quality teams to validate inspection approaches for complex machined hardware.  

• Utilize metrology equipment and inspection feedback to refine machining processes and improve capability.  

• Support root cause investigations and corrective actions for machining-related non-conformances. 

Production & Operational Excellence 

• Support machining operations across prototype, low-rate, and production environments. 

• Maintain strict adherence to MES, process documentation, revision control, and manufacturing standards.  

• Ensure compliance with Environmental, Health, and Safety (EHS) requirements and machine shop best practices.  

• Support broader machining and shop activities as production priorities require. 

Basic Qualifications

• Extensive CNC programming experience with a strong focus on:  

• Horizontal turning mills  

• Mill-turn machining  

• Multi-axis turning systems  

• Strong CAM programming capability (Siemens NX preferred).  

• Strong understanding of machining dynamics, tooling, materials, and process optimization.  

• Experience with Siemens and/or Heidenhain controllers preferred.  

• Proficiency in CAD modeling and fixture/workholding design.  

• Demonstrated ability to develop machining strategies for first article and production hardware.  

• Strong understanding of GD&T and precision inspection methodologies.  

• Hands-on understanding of machine setup, operation, and prove-out activities.   

• Experience machining aerospace-grade materials including aluminum, steels, titanium, stainless steels, and nickel-based alloys. 

• Ability to lawfully access information and technology that is subject to US export controls 

Preferred Qualifications

• Proficiency with Siemens NX CAD/CAM. 

• Experience with horizontal turning centers, mill-turn systems, multi-axis, & Precision grinding operations    

• Experience programming or supporting precision grinding equipment (5-axis grinding preferred). 

• Familiarity with palletized machining systems and automated manufacturing environments. 

• Experience machining large-format or high-precision rotational components. 

• Experience with additive manufacturing and hybrid additive-subtractive workflows. 

• Strong understanding of aerospace, automotive, defense, or turbine/energy hardware manufacturing. 

• Experience supporting high-rate production and production ramp environments. 

• Familiarity with in-process probing, automation, and advanced setup verification techniques. 

Work Environment

• This role operates in a fast-paced, high-mix production environment where priorities can shift rapidly based on engineering changes, supply chain constraints, and program milestones. The environment demands tight cross-functional collaboration with engineering, manufacturing, quality, logistics, and program teams to ensure daily execution aligns with long-term build plans.
   
• Success in this environment requires hands-on engagement on the shop floor, strong systems knowledge, and the ability to anticipate and resolve scheduling risks before they impact key deliverables.
   
• The culture emphasizes proactive communication, data-driven decision making, and continuous improvement to meet aggressive program timelines while maintaining high standards for quality, safety, and efficiency. 

Additional Requirements

• An on-site skills demonstration (< 60mins) is required as part of the hiring process to evaluate technical proficiency and practical machining abilities. 

Compensation

At Divergent, our pay range is based on the level of the job. For this role, we will consider candidates at levels ABC - XYZ as evaluated through our interview process. 

• Technician / T03: $47.00 - $51.00
• Lead Technician / T04: $52.00 - $60.00
• Senior Technician / T05: $60.00 - $69.00

Schedule
This is a 3 - 4 x 11 rotating shift working alternating Wednesdays.

Shifts Available

Sun - Wed 1st shift (5am - 4:30pm)
Wed - Sat 1st shift (5am - 4:30pm)
Wed - Sat 2nd shift (4pm - 3:30am)

Purpose

The CNC Machining Specialist is a hands-on technical expert responsible for developing and executing precision machining strategies with an emphasis on CNC turning operations, while maintaining versatility across milling and multi-axis machining environments. This role supports the production of high-performance components for advanced aerospace, automotive, and next-generation manufacturing systems. 

Operating with a high degree of autonomy, this individual partners closely with design and manufacturing engineering to translate complex hardware requirements into robust, scalable machining processes. The role is deeply rooted in shop-floor execution—owning setups, solving problems in real time, and driving machining excellence from prototype through rate production. 

This position plays a critical role in building repeatable, high-quality processes, improving throughput, and enabling rapid iteration in a fast-paced production environment. 

The Role

Turning & Machining Execution 

• Lead setup, operation, and optimization of CNC turning centers (mill-turn and multi-axis lathes) for precision components.  

• Execute machining & grinding across a range of equipment as needed, including 3-axis, 3+2, and 5-axis mills to support production demands.  

• Own first article through production runs, ensuring parts meet dimensional, surface finish, and performance requirements.  

• Apply advanced understanding of GD&T to validate setups and machining strategies directly on the floor. 

Process Development & Optimization 

• Define machining strategies across turning and milling operations, including:  

• Tooling selection  

• Workholding/fixturing concepts  

• Program approach and sequencing  

• Identify and eliminate inefficiencies in cycle time, tool life, and setup methodology.  

• Troubleshoot and resolve machining challenges (chatter, tool wear, thermal distortion, tolerance stack-up, machine limitations).  

• Partner with engineering to drive Design for Manufacturability (DFM), especially for turned features and rotational geometries. 

Production Ownership & Continuous Improvement 

• Take full ownership of machining processes on the floor—from initial prove-out to stable production.  

• Drive continuous improvement initiatives focused on:  

• Cycle time reduction  

• Scrap and rework reduction  

• Process capability and repeatability  

• Support production ramp by developing scalable processes, standardized tooling, and repeatable setups.  

• Act with urgency to resolve blockers impacting delivery schedules and production output. 

Quality & Documentation 

• Ensure all hardware meets internal and industry quality standards through disciplined process control.  

• Develop and maintain:  

• Setup sheets  

• Work instructions  

• Process standards  

• Collaborate with inspection teams to validate measurement strategies for tight-tolerance turned features.  

• Support root cause analysis and corrective actions for non-conformances. 

Team Leadership & Mentorship 

• Mentor machinists and operators on turning best practices, machining fundamentals, and advanced techniques.  

• Promote strong shop culture centered on accountability, craftsmanship, and continuous learning.  

• Provide technical guidance across shifts to ensure consistency and process adherence. 

Safety & Operational Excellence 

• Champion Environmental, Health, and Safety (EHS) standards within all machining activities.  

• Proactively identify risks in machining operations and implement mitigation strategies.  

• Maintain a clean, organized, and high-functioning work environment aligned with high-performance production standards. 

Basic Qualifications

• Extensive experience operating CNC turning centers (2-axis, live tooling, mill-turn, or multi-axis lathes).  

• Strong cross-functional machining experience including milling (3-axis, 3+2, 5-axis) & grinding.  

• Proficiency with Siemens, Fanuc, & Heidenhain controllers.  

• Advanced understanding of GD&T and its application in precision machining.  

• Proven ability to troubleshoot and optimize machining processes across tooling, fixturing, and programming.  

• Experience machining complex components in aluminum, steels, titanium, and nickel-based alloys (Inconel).  

• Demonstrated experience with advanced setup techniques, including dynamic work offsets and multi-operation setups.  

• Hands-on experience taking parts from first article through production.  

• Ability to create clear setup documentation and standardized machining processes.  

• Experience mentoring or leading other machinists on the shop floor. 

• Ability to lawfully access information and technology that is subject to US export controls 

Preferred Qualifications

• Familiarity with large-format or gantry-style machining systems.  

• Experience Machining additively manufactured components or hybrid workflows.  

• Strong manual machining skills to support tooling, fixtures, and rework operations.  

• Experience in high-rate production or rapid development environments with aggressive timelines. 

• Experience in CAD/CAM software/environments (NX CAM preferred).  

• Strong understanding of G-code. 

• Experience with writing probing routines for on machine part inspections. 

Work Environment

• This role operates in a fast-paced, high-mix production environment where priorities can shift rapidly based on engineering changes, supply chain constraints, and program milestones. The environment demands tight cross-functional collaboration with engineering, manufacturing, quality, logistics, and program teams to ensure daily execution aligns with long-term build plans. 
• Success in this environment requires hands-on engagement on the shop floor, strong systems knowledge, and the ability to anticipate and resolve scheduling risks before they impact key deliverables. 
• The culture emphasizes proactive communication, data-driven decision making, and continuous improvement to meet aggressive program timelines while maintaining high standards for quality, safety, and efficiency. 

Compensation

At Divergent, our pay range is based on the level of the job. For this role, we will consider candidates at levels ABC - XYZ as evaluated through our interview process. 

• Technician / T03: $47.00 - $51.00
• Lead Technician / T04: $52.00 - $60.00
• Senior Technician / T05: $60.00 - $69.00

Why You'll Love This Role

You will work closely with the founding team and a group of highly-skilled engineers to shape the future of search and analytics of observability data. You will play a central role in bringing integrating cutting-edge Generative AI technologies with the Cribl Product suite to help solve real customer problems.  You will work closely with development partners and key stakeholders to iteratively design, develop, and deliver products and surfaces that will delight our customers.
On top of it all you will have fun. Cribl strives to be a great place to work for everyone. 

As An Active Member Of Our Team, You Will...

• Work with the product engineering teams to prototype and experiment with new AI features
• Work across backend, frontend, and interact with LLMs and/or other ML models
• Productionize, launch, and operate AI-based technology integrations into Cribl’s core products with the goal of solving real customer problems
• Stay up-to-date with the latest AI technologies and trends
• Work closely with fine tuning models, Prompt Engineering, and Inference Platforms
• This position will require stand-by, on-call, or off-hours duties

If You've Got It - We Want It

• Bachelor's degree in CS/EE with 6+ years of industry experience
• Ability to problem solve from first principles and maintain focus on overarching objectives
• Prior experience in contributing to products that have gained significant user traction or scaled to a large user base
• Experience as an AI/ML Engineer
• Experience with ML Ops
• Experience with Typescript/JavaScript and either Node or React

Salary Range ($200,000 - $250,000)

The salary for this role is dependent on geographic location. The salary offered within the range described will be based on the individual candidate’s job-related knowledge, skills, and experience.  In addition to a competitive salary, Cribl also offers a generous benefits package which includes health, dental, vision, short-term disability, and life insurance, paid holidays and paid time off, a fertility treatment benefit, 401(k), equity, and eligibility for a discretionary company-wide bonus.

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested war-fighting domain.

ABOUT THE JOB

We are looking for a Senior Tracking Software Engineer to join our rapidly growing team in Washington DC. In this role, you will lead the development of advanced 2D and 3D tracking algorithms that maintain custody of space objects, processing sensor detections and messages into actionable tracks for space situational awareness missions. As a senior member of the team, you will architect and implement sophisticated multi-target tracking systems using cutting-edge state estimation and data association techniques, develop physics-based models to validate performance, and mentor engineers while working closely with software teams to deploy your algorithms into operational systems. You will drive technical decisions, lead design reviews, and serve as a subject matter expert in tracking algorithms. This will require deep expertise in tracking algorithms, state estimation (Kalman filtering), data association methods (JPDA, MHT), proficiency in MATLAB, Python, and C++, experience with modeling and simulation, and demonstrated technical leadership. If you are someone who enjoys solving challenging tracking problems involving clutter, maneuvering targets, contested sensing environments, and real-time mission constraints while guiding others to do the same then this role is for you.

WHAT YOU’LL DO

• Lead systems engineering and algorithm development tasks supporting space and missile defense tracking missions, providing technical direction and guidance to team members
• Architect and implement advanced object tracking and state estimation algorithms, including track initiation, maintenance, correlation, and termination
• Design and evaluate multi-target tracking and multi-sensor fusion approaches for EO/IR, RF, or hybrid sensor architectures
• Lead the implementation of advanced data association techniques including JPDA (Joint Probabilistic Data Association), MHT (Multiple Hypothesis Tracking), nearest neighbor, and track-to-track fusion methods
• Drive innovation in data association techniques, exploring novel approaches and optimizations for complex operational scenarios
• Build sophisticated physics-based models and conduct modeling and simulation including Monte Carlo analysis, recorded sensor playback, and hardware-in-the-loop testing to validate tracking performance
• Lead performance analysis, trade studies, and simulation-based assessments of tracking robustness under challenging conditions (maneuvering targets, clutter, countermeasures, degraded sensing)
• Collaborate with and mentor software engineers to transition tracking algorithms from MATLAB/Python prototypes to production C/C++ code optimized for real-time operational systems
• Drive the systems engineering lifecycle including requirements decomposition, trade studies on tracking approaches, verification and validation planning, and design reviews (SRR, PDR, CDR)
• Lead technical documentation efforts and present at design reviews (SRR, PDR, CDR) and customer engagements
• Mentor engineers in tracking algorithm development, state estimation theory, and best practices
• Serve as a technical subject matter expert for tracking systems, advising program leadership on algorithm performance, risks, and opportunities

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Secret security clearance
• Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Aerospace Engineering, Applied Mathematics, Physics, Computer Science, or related technical field
• 8+ years of experience designing, implementing, and testing multi-target tracking algorithms for aerospace, defense, or autonomous systems
• Demonstrated technical leadership in tracking algorithm development, including leading design efforts, mentoring team members, or serving as a subject matter expert
• Deep theoretical and practical expertise with state estimation techniques, including Kalman Filters (EKF, UKF), multi-target tracking concepts, and Interacting Multiple Model (IMM) filters
• Proven experience developing tracking algorithms that handle track initiation, maintenance, correlation, and termination in operational systems
• Expert proficiency in algorithm development using MATLAB and/or Python with demonstrated experience transitioning algorithms to C++ for production deployment
• Extensive experience with modeling, simulation, and testing workflows including Monte Carlo analysis, sensor data playback, or hardware-in-the-loop environments
• Strong ability to work collaboratively with software engineers, systems engineers, and test teams to integrate tracking algorithms into operational systems
• Excellent communication skills with experience presenting technical concepts to diverse audiences including engineers, program managers, and customers

PREFERRED QUALIFICATIONS

• Advanced degree (MS or PhD) in Engineering, Physics, Applied Mathematics, or related technical field
• 10+ years of experience in tracking algorithm development for defense or aerospace applications
• Experience in one or more of the following domains: missile defense or space systems; EO/IR or RF sensors; kill vehicles, interceptors, or countermeasures
• Extensive experience handling challenging tracking scenarios including track fragmentation, ghost tracks, sensor outages, and high-clutter environments
• Deep familiarity with real-time system constraints, embedded systems, or edge compute optimization
• Demonstrated experience leading efforts within the systems engineering design cycle, including requirements decomposition and traceability, algorithm design and trade studies, verification and validation (V&V), and documentation and design reviews (SRR, PDR, CDR)
• Experience with MBSE tools (Cameo, Rhapsody, DOORS)
• Experience with advanced tracking techniques such as Random Finite Set (RFS) methods, Probability Hypothesis Density (PHD) filters, or machine learning-enhanced tracking
• Publication record in peer-reviewed journals or conferences related to tracking, state estimation, or sensor fusion
• Experience briefing and interfacing with government customers (DoD, IC, or similar)
• Track record of delivering tracking solutions into operational systems or fielded products

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested war-fighting domain.

ABOUT THE JOB

We are looking for a Senior Tracking Software Engineer to join our rapidly growing team in Costa Mesa, CA. In this role, you will lead the development of advanced 2D and 3D tracking algorithms that maintain custody of space objects, processing sensor detections and messages into actionable tracks for space situational awareness missions. As a senior member of the team, you will architect and implement sophisticated multi-target tracking systems using cutting-edge state estimation and data association techniques, develop physics-based models to validate performance, and mentor engineers while working closely with software teams to deploy your algorithms into operational systems. You will drive technical decisions, lead design reviews, and serve as a subject matter expert in tracking algorithms. This will require deep expertise in tracking algorithms, state estimation (Kalman filtering), data association methods (JPDA, MHT), proficiency in MATLAB, Python, and C++, experience with modeling and simulation, and demonstrated technical leadership. If you are someone who enjoys solving challenging tracking problems involving clutter, maneuvering targets, contested sensing environments, and real-time mission constraints while guiding others to do the same then this role is for you.

WHAT YOU’LL DO

• Lead systems engineering and algorithm development tasks supporting space and missile defense tracking missions, providing technical direction and guidance to team members
• Architect and implement advanced object tracking and state estimation algorithms, including track initiation, maintenance, correlation, and termination
• Design and evaluate multi-target tracking and multi-sensor fusion approaches for EO/IR, RF, or hybrid sensor architectures
• Lead the implementation of advanced data association techniques including JPDA (Joint Probabilistic Data Association), MHT (Multiple Hypothesis Tracking), nearest neighbor, and track-to-track fusion methods
• Drive innovation in data association techniques, exploring novel approaches and optimizations for complex operational scenarios
• Build sophisticated physics-based models and conduct modeling and simulation including Monte Carlo analysis, recorded sensor playback, and hardware-in-the-loop testing to validate tracking performance
• Lead performance analysis, trade studies, and simulation-based assessments of tracking robustness under challenging conditions (maneuvering targets, clutter, countermeasures, degraded sensing)
• Collaborate with and mentor software engineers to transition tracking algorithms from MATLAB/Python prototypes to production C/C++ code optimized for real-time operational systems
• Drive the systems engineering lifecycle including requirements decomposition, trade studies on tracking approaches, verification and validation planning, and design reviews (SRR, PDR, CDR)
• Lead technical documentation efforts and present at design reviews (SRR, PDR, CDR) and customer engagements
• Mentor engineers in tracking algorithm development, state estimation theory, and best practices
• Serve as a technical subject matter expert for tracking systems, advising program leadership on algorithm performance, risks, and opportunities

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Secret security clearance
• Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Aerospace Engineering, Applied Mathematics, Physics, Computer Science, or related technical field
• 8+ years of experience designing, implementing, and testing multi-target tracking algorithms for aerospace, defense, or autonomous systems
• Demonstrated technical leadership in tracking algorithm development, including leading design efforts, mentoring team members, or serving as a subject matter expert
• Deep theoretical and practical expertise with state estimation techniques, including Kalman Filters (EKF, UKF), multi-target tracking concepts, and Interacting Multiple Model (IMM) filters
• Proven experience developing tracking algorithms that handle track initiation, maintenance, correlation, and termination in operational systems
• Expert proficiency in algorithm development using MATLAB and/or Python with demonstrated experience transitioning algorithms to C++ for production deployment
• Extensive experience with modeling, simulation, and testing workflows including Monte Carlo analysis, sensor data playback, or hardware-in-the-loop environments
• Strong ability to work collaboratively with software engineers, systems engineers, and test teams to integrate tracking algorithms into operational systems
• Excellent communication skills with experience presenting technical concepts to diverse audiences including engineers, program managers, and customers

PREFERRED QUALIFICATIONS

• Advanced degree (MS or PhD) in Engineering, Physics, Applied Mathematics, or related technical field
• 10+ years of experience in tracking algorithm development for defense or aerospace applications
• Experience in one or more of the following domains: missile defense or space systems; EO/IR or RF sensors; kill vehicles, interceptors, or countermeasures
• Extensive experience handling challenging tracking scenarios including track fragmentation, ghost tracks, sensor outages, and high-clutter environments
• Deep familiarity with real-time system constraints, embedded systems, or edge compute optimization
• Demonstrated experience leading efforts within the systems engineering design cycle, including requirements decomposition and traceability, algorithm design and trade studies, verification and validation (V&V), and documentation and design reviews (SRR, PDR, CDR)
• Experience with MBSE tools (Cameo, Rhapsody, DOORS)
• Experience with advanced tracking techniques such as Random Finite Set (RFS) methods, Probability Hypothesis Density (PHD) filters, or machine learning-enhanced tracking
• Publication record in peer-reviewed journals or conferences related to tracking, state estimation, or sensor fusion
• Experience briefing and interfacing with government customers (DoD, IC, or similar)
• Track record of delivering tracking solutions into operational systems or fielded products

About the Team:

We’re looking for a Staff Software Engineer I/II to join our Data Ingestion Team, which builds and operates the critical infrastructure that serves as the “front door” of StackAdapt’s event flow. In this role, you’ll own technical direction for critical parts of our ingestion platform, lead large-scale initiatives, and shape how data flows across the company.

The Data Ingestion team tackles complex distributed systems challenges at massive scale, with a focus on scalability, performance, and reliability. Our systems process over 10 billion events per day, powering core functions across bidding, reporting, billing, analytics, and machine learning. You will work on challenging technical problems and partner with teams across the company to drive key initiatives.

We design + build low-latency, highly reliable distributed systems for impressions, clicks, conversions, and third-party signals, ensuring data is accurate and available to downstream teams in real time. This is a high-impact area at the core of StackAdapt’s platform, the systems you own will directly shape data quality, system reliability, and the speed at which teams across the company can build and innovate. Our work sits at the cutting edge of large-scale distributed systems, leveraging modern technologies and architectures to solve complex real-time data challenges. The core stack includes Golang, Kafka, TiDB, Aerospike, Vitess, Kubernetes, and more.

If you enjoy solving complex distributed systems problems at scale and driving technical impact across teams, this role would be a great fit for you.

StackAdapt is a Remote First company. We are open to candidates located anywhere in Canada or the United States for this position.

What You’ll Be Doing:

• Own and lead large technical initiatives end-to-end, from design through production and monitoring
• Provide technical leadership and mentorship to engineers across the team
• Design, build, and operate highly scalable, distributed ingestion services for real-time and near-real-time scenarios
• Contribute hands-on as needed while enabling the team to execute effectively
• Build and maintain event ingestion pipelines using streaming technologies like Kafka
• Work with high-volume storage systems and databases to persist and serve data efficiently
• Partner with Data, ML, Product, and Platform teams to support evolving requirements
• Improve code quality, testing practices, system reliability, and observability
• Participate in design reviews, code reviews, and architectural discussions
• Balance and prioritize projects to maximize impact and align with company objectives

What You’ll Bring to the Table:

• Extensive experience building distributed systems and high-throughput backend services
• Proven ability to lead technical direction and drive large, cross-team initiatives
• Strong problem-solving and communication skills, with comfort working in ambiguous, complex domains
• Collaborative mindset with the ability to influence across teams
• Ability to think strategically, lead technically, and drive high-impact, scalable solutions
• Hands-on experience with streaming systems (Kafka or similar)
• Strong understanding of distributed systems trade-offs (consistency, availability, partition tolerance, scalability)
• Maintains an AI-forward approach to software engineering - leveraging AI to boost productivity, collaboration, and business automation
• Bonus: Familiarity with AdTech, event-driven architectures, or analytics systems

#LI-TM8

WHAT IS BOX? 

Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.

By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.

WHY BOX NEEDS YOU 

Software Engineers on the Trust and Safety Engineering team play a critical role in protecting Box, its platform, and its customers from abuse, fraud, and malicious actors. This role is ideal for an engineer who combines strong software development fundamentals with a deep interest in security, threat mitigation, and building resilient systems at scale. The team partners closely with security, product, and engineering organizations across Box to design and deliver solutions that strengthen the company’s defenses while preserving a seamless customer experience. Much of this work is highly visible and directly customer-facing, shaping how users experience safety, reliability, and trust across the product. The systems built by this team have significant impact, and performance is essential because latency matters in delivering protections that are both effective and seamless. Work in this area spans a wide range of disciplines, including building and operating containerized microservices in a Kubernetes-based environment, developing behavioral detection systems and machine learning models to identify suspicious activity, tuning rate limiters and other mitigation controls across the Box stack, and delivering product security features that proactively reduce risk. This is an opportunity to make a direct impact by building intelligent, scalable systems that help Box stay ahead of evolving threats.

WHAT YOU'LL DO 

• Design, build, and continuously improve security systems that protect Box, its platform, and its customers from abuse, fraud, malicious actors, and insider threats.
• Develop scalable APIs and backend services that detect, prevent, and disrupt abuse campaigns across Box’s microservice infrastructure.
• Build behavioral detection systems and near-real-time mitigation workflows to identify suspicious usage patterns, risky traffic, and emerging attack techniques.
• Apply analytics and machine learning approaches to model malicious behavior, improve detection accuracy, and reduce false positives.
• Strengthen platform defenses through rate limiting, automated enforcement, and other mitigation controls that balance security with customer experience.
• Build resilient, containerized microservices in distributed environments that support high-volume trust and safety protections at scale.
• Partner closely with security, product, and engineering teams to translate threat trends into durable product and platform safeguards.
• Contribute to Box’s broader technical security strategy by identifying systemic risks, proposing defenses, and improving security engineering practices.
• Proactively evaluate evolving abuse and fraud patterns to help Box stay ahead of new threats with intelligent, scalable protections.

WHO YOU ARE 

We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box.

• 6+ years of professional software development experience in one or more of the following languages: Java, Python, PHP, or Scala
• Experience building containerized microservices in large-scale, distributed environments
• Preferred qualifications include experience with machine learning models, large-scale datasets, Java Spring/Spring Boot, Terraform-based public cloud infrastructure, and trust and safety, abuse, or fraud mitigation systems
• Strong interpersonal, communication, and reporting skills
• Strong analytical, system design, engineering, planning, and problem-solving skills
• Bachelor’s degree in Computer Science or equivalent practical experience

Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process.

At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply!

EQUAL OPPORTUNITY

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience.

Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form. Reasonable accommodations may include scheduling adjustments, document dictation and beyond.

Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance.  The Fair Chance Ordinance is provided here. 

Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance.  The Fair Chance Ordinance is provided here. 

For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here.

Purpose

Accelerate execution of mission critical legal workstreams; assure high fidelity execution of corporate governance tasks; mature legal and compliance functions.  

The Role

• Manage cap table and track equity transactions  
• Draft and maintain corporate documents including board and shareholder consents, resolutions, meeting minutes, transactional closing binders, agreements, etc. 
• Circulate shareholder notices and company disclosures to relevant equity holders in compliance with Delaware corporation law and SEC rules 
• Support with preparing documents for board meetings, financial transactions, stock transfers and employee equity grants 
• Coordinate and track signatures on board consents, agreements and transactional documents 
• Assist with formation and maintenance of new corporate entities, both domestic and international 
• Manage and track annual corporate obligations and filings  
• Complete filings in connection with compliance with securities laws, including Blue Sky 
• Assist with KYC review and sanctions screenings   
• Track investor records, rights, and obligations 
• Support negotiation and management of basic commercial agreements 
• Produce documents and templates related to the development and implementation of corporate policies 
• May also work on other matters including insurance, contract management, and general legal support 

Basic Qualifications

• Ability to lawfully access information and technology that is subject to US export controls
• Bachelor's degree 
• 5+ years of experience working as a paralegal or legal analyst in a law firm or in-house legal, corporate secretary and/or corporate finance department 
• Experience managing corporate cap tables preferably in Shareworks or Carta platforms  
• Basic understanding of stock options, restricted stock units, etc., and related vesting schedules 
• Excellent judgment and organizational skills 
• Excellent verbal and written communications skills, including ability to interact with colleagues at all levels of the corporate structure as well as investors and outside counsel 
• Ability to prioritize and handle numerous competing demands in a high-volume, fast-paced working environment 
• Ability to identify and resolve or escalate issues in a timely manner

Preferred Qualifications

• 10+ years of experience working as a paralegal or legal analyst in a law firm or in-house legal, corporate secretary and/or corporate finance department 
• Paralegal certificate 
• Notary Public 
• Experience with a mature private company 
• Experience with the formation and management of international entities 
• Experience with insurance related matters, including complying with requirements and processing claims 
• Communicating with and managing external service providers and outside counsel 

Work Environment

• This position is hybrid and based in our Torrance, CA office. 

Compensation

At Divergent, our pay range is based on the level of the job. For this role, we will consider candidates at levels S05 - S06 as evaluated through our interview process. 

• S05/Senior Paralegal: $89,970- $123,710
• S06/Lead Paralegal: $103,900- $142,860

ABOUT THE TEAM

At Anduril, our Software Engineers specialize in solving complex, real-world problems through cutting-edge algorithms and intelligent software integrations. Operating in small, innovative teams, we push the boundaries of what's possible to deliver advanced technologies with mission-critical applications. Our commitment doesn't end with academic research or proof-of-concept experiments; we measure our success by the real-world impact of our deployed solutions. Inspired by Arthur C. Clarke’s vision — “Any sufficiently advanced technology is indistinguishable from magic” — we aim to achieve groundbreaking results in target tracking, state estimation, and situational awareness. We are currently seeking highly talented technologists to join our mission and redefine the future of defense technology.

WHAT YOU WILL DO:

• Define and influence the direction of a small team, leveraging your subject-matter expertise in target tracking and state estimation.
• Prototype and deploy state-of-the-art algorithms for tracking, multi-sensor data fusion, and state estimation in agile, iterative development environments.
• Develop high-performance software for real-time systems, ranging from tactical implementations to simulation environments and decision support tools.
• Design and implement robust filters, estimators, and probabilistic reasoning systems that enable actionable insights from noisy, ambiguous, or incomplete sensor data.
• Analyze system performance using high-fidelity simulations, innovative modeling tools, and rigorous statistical techniques to validate the benefits of our technology.
• Drive customer success by customizing algorithms and software for mission-critical use cases, including real-time tracking and sensor fusion.
• Integrate tracking and estimation technologies into the broader software development lifecycle, from requirements definition through testing and optimization.
• Translate technical progress into clear, actionable insights for diverse stakeholders, including colleagues and end-users.

REQUIRED QUALIFICATIONS

• Proficiency in algorithm design, software development, and statistical modeling with programming expertise in C/C++, Python, and Matlab.
• Strong knowledge of target tracking techniques, such as Kalman filters, particle filters, and multi-target tracking algorithms (e.g., JPDA, MHT, or PHD filters).
• Experience in state estimation, including Bayesian filtering, sensor fusion, and recursive estimation techniques.
• Solid understanding of applied mathematics, including linear algebra, optimization, probability, and stochastic processes.
• Knowledge of signal processing techniques for interpreting diverse sensor data (e.g., radar, lidar, EO/IR).
• Familiarity with big data pipelines, NoSQL databases, and the efficient handling of large-scale sensor data.
• Background in machine learning as applied to target tracking and recognition, including clustering, classification, and anomaly detection techniques.
• Ability to engineer robust systems for estimation theory, adaptive filtering, controls, and complex signal environments.
• Demonstrated ability to work across development lifecycles, from prototyping to optimizing production systems.
• Eligible to obtain and maintain an active U.S. Top Secret security clearance.

We request transcripts as part of the early application process to understand your academic background and how your coursework supports the skills deemed critical for the role. Transcripts help us assess your technical and analytical abilities, complementing our interview process in which we also evaluate practical experience and cultural fit. If you choose not to share your transcripts, you will need to provide detailed information regarding your academic performance in relevant courses, including projects and coursework specifics, to ensure we evaluate your academic accomplishments properly. If you do provide academic transcripts, feel free to redact non-technical information (e.g., student ID, dates, non-technical coursework, etc.). Unofficial transcripts obtained online acceptable for this assessment.

ABOUT THE TEAM

Anduril's Software Engineers excel at developing state-of-the art algorithms and software that solve scientific problems with real-world applications. Working in small innovative teams, our software engineers build solutions that make a difference. Our research endeavors don’t end once we’ve written a journal or conference paper describing our technology; rather, our work is complete when our technology has been deployed in mission-critical systems and our customers within government and industry are successful. As science fiction writer Arthur Clarke wrote, “Any sufficiently advanced technology is indistinguishable from magic.” Anduril is seeking talented “magicians” to join in our mission to expand the boundary of what’s possible. 

WHAT YOU WILL DO:

• Contribute to the direction of a small team with your expertise and ideas
• Prototype state-of-the-art software solutions in an agile development environment
• Implement high-performance software spanning the spectrum from tactical systems to web applications
• Use high-fidelity modeling and simulation environments, innovative analysis tools, and sound analysis techniques to quantify the benefit of our technology
• Engage with our customers, to ensure successful outcomes for their mission-critical needs
• Work with all aspects of the software development lifecycle
• Help your colleagues and customers understand what you’re doing and why

REQUIRED QUALIFICATIONS

• 8+ years of professional software engineering experience
• Bachelor's degree in mathematics, physics, engineering, or other technical field (advanced degree strongly preferred)
• C/C++, Python, and Matlab;
• Big data/NoSQL/database technologies;
• Software engineering: software design, algorithm implementation, and software analysis, testing, and optimization;
• Machine learning: supervised and unsupervised learning, clustering, and classification;
• Applied mathematics: differential equations, linear algebra, optimization, statistics, and random processes;
• Engineering: controls, estimation theory, and digital signal processing.
• Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance

We request transcripts as part of the early application process to understand your academic background and how your coursework supports the skills deemed critical for the role. Transcripts help us assess your technical and analytical abilities, complementing our interview process in which we also evaluate practical experience and cultural fit. If you choose not to share your transcripts, you will need to provide detailed information regarding your academic performance in relevant courses, including projects and coursework specifics, to ensure we evaluate your academic accomplishments properly. If you do provide academic transcripts, feel free to redact non-technical information (e.g., student ID, dates, non-technical coursework, etc.). Unofficial transcripts obtained online acceptable for this assessment.

Engineering

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

Brex’s Governance, Risk, and Compliance function is at an exciting and pivotal point in our maturity journey and we’re seeking a team member who can seamlessly bridge compliance expertise with technical execution. As a Senior GRC Engineer, you will drive critical GRC processes that mitigate risk, keep us compliant, and build trust with our customers and partners. You'll evolve the technical foundation of our Trust program by automating security controls, building integrations between security tools and GRC platforms, and creating scalable processes that enable Brex to maintain compliance efficiently as we expand into new markets. You'll work at the intersection of security, engineering, and compliance — translating regulatory requirements into technical solutions and building automation that eliminates manual toil.

You'll leverage your deep understanding of SOC 2, PCI DSS, ISO 27001, AI governance frameworks, and others to both design controls for emerging compliance requirements and mature existing programs through automation and continuous monitoring. You’ll support Trust Assurance, Third Party Risk Management, and other Security Risk Management initiatives. Working with our Engineering, Infrastructure, and Product teams, you'll translate compliance frameworks into technical controls and build automated systems that help us achieve world-class security as Brex expands.

Your contributions will directly accelerate Brex's maturity. You'll design workflows using Tines, build integrations between security and GRC systems, and create dashboards for security metrics. You'll implement controls across the technology stack, support multiple audits (SOC 2, PCI DSS, SOX/ITGC, FINRA, ISO), and contribute to AI governance framework implementation (ISO 42001, NIST AI RMF, EU AI Act).

You'll have autonomy to build innovative solutions, collaborating cross-functionally to implement controls that enable growth while communicating technical concepts effectively across the organization.

Where you’ll work

This role will be based in our Seattle office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Manage and scale IT infrastructure, services and tooling
• Work with a diverse group of  IT partners to optimize our provided services
• Implement new services in support of Information Technologies vision
• Scale our services by implementing configuration as code via Terraform providers or APIs
• Operationalize and upskill IT and its partners by producing documentation and leading training sessions
• Evangelize best practices both internally and externally facing

Requirements

• 5+ years of experience in GRC, IT Governance, or Security Engineering with a strong track record of automating manual compliance workflows.
• Deep experience with security frameworks such as SOC 2, PCI DSS, ISO 27001, and NIST CSF, specifically within cloud-native environments.
• Technical proficiency in Python (or similar scripting languages) and experience building integrations using APIs to connect security tools with GRC systems. You can read code, design integrations, and understand technical implementations.
• Builder mindset with the ability to design and implement automated control testing, continuous monitoring, and data-driven security metrics. You see manual processes and immediately think about how to automate them.
• Exceptional cross-functional collaboration and communication skills. You can translate complex compliance requirements into technical specifications that engineering teams can actually implement and influence stakeholders across technical and non-technical domains.
• Strong systems thinking. You have the ability to design scalable GRC architectures that grow with the company, rather than just solving for the immediate audit.
• Bias for action. You’re a self-starter who ships solutions quickly and iterates based on feedback. 

Bonus points

• Previous experience in Fintech or banking environments navigating complex regulatory landscapes.
• Hands-on experience with Tines or other SOAR platforms to automate security operations.
• Familiarity with AI/ML governance frameworks (NIST AI RMF, ISO 42001) or securing agentic systems.
• Deep knowledge of Cloud Security (AWS/GCP), infrastructure-as-code (Terraform), or DevSecOps practices.
• Relevant industry certifications such as CISSP, CISA, or CCSP.
• Experience building metrics dashboards for security visualization and reporting.
• Active contributions to the GRC or Security community through open-source projects or public research.

Compensation

The expected salary range for this role is $153,600 - $192,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Engineering

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

Brex’s Governance, Risk, and Compliance function is at an exciting and pivotal point in our maturity journey and we’re seeking a team member who can seamlessly bridge compliance expertise with technical execution. As a Senior GRC Engineer, you will drive critical GRC processes that mitigate risk, keep us compliant, and build trust with our customers and partners. You'll evolve the technical foundation of our Trust program by automating security controls, building integrations between security tools and GRC platforms, and creating scalable processes that enable Brex to maintain compliance efficiently as we expand into new markets. You'll work at the intersection of security, engineering, and compliance — translating regulatory requirements into technical solutions and building automation that eliminates manual toil.

You'll leverage your deep understanding of SOC 2, PCI DSS, ISO 27001, AI governance frameworks, and others to both design controls for emerging compliance requirements and mature existing programs through automation and continuous monitoring. You’ll support Trust Assurance, Third Party Risk Management, and other Security Risk Management initiatives. Working with our Engineering, Infrastructure, and Product teams, you'll translate compliance frameworks into technical controls and build automated systems that help us achieve world-class security as Brex expands.

Your contributions will directly accelerate Brex's maturity. You'll design workflows using Tines, build integrations between security and GRC systems, and create dashboards for security metrics. You'll implement controls across the technology stack, support multiple audits (SOC 2, PCI DSS, SOX/ITGC, FINRA, ISO), and contribute to AI governance framework implementation (ISO 42001, NIST AI RMF, EU AI Act).

You'll have autonomy to build innovative solutions, collaborating cross-functionally to implement controls that enable growth while communicating technical concepts effectively across the organization.

Where you’ll work

This role will be based in our New York office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Manage and scale IT infrastructure, services and tooling
• Work with a diverse group of  IT partners to optimize our provided services
• Implement new services in support of Information Technologies vision
• Scale our services by implementing configuration as code via Terraform providers or APIs
• Operationalize and upskill IT and its partners by producing documentation and leading training sessions
• Evangelize best practices both internally and externally facing

Requirements

• 5+ years of experience in GRC, IT Governance, or Security Engineering with a strong track record of automating manual compliance workflows.
• Deep experience with security frameworks such as SOC 2, PCI DSS, ISO 27001, and NIST CSF, specifically within cloud-native environments.
• Technical proficiency in Python (or similar scripting languages) and experience building integrations using APIs to connect security tools with GRC systems. You can read code, design integrations, and understand technical implementations.
• Builder mindset with the ability to design and implement automated control testing, continuous monitoring, and data-driven security metrics. You see manual processes and immediately think about how to automate them.
• Exceptional cross-functional collaboration and communication skills. You can translate complex compliance requirements into technical specifications that engineering teams can actually implement and influence stakeholders across technical and non-technical domains.
• Strong systems thinking. You have the ability to design scalable GRC architectures that grow with the company, rather than just solving for the immediate audit.
• Bias for action. You’re a self-starter who ships solutions quickly and iterates based on feedback. 

Bonus points

• Previous experience in Fintech or banking environments navigating complex regulatory landscapes.
• Hands-on experience with Tines or other SOAR platforms to automate security operations.
• Familiarity with AI/ML governance frameworks (NIST AI RMF, ISO 42001) or securing agentic systems.
• Deep knowledge of Cloud Security (AWS/GCP), infrastructure-as-code (Terraform), or DevSecOps practices.
• Relevant industry certifications such as CISSP, CISA, or CCSP.
• Experience building metrics dashboards for security visualization and reporting.
• Active contributions to the GRC or Security community through open-source projects or public research.

Compensation

The expected salary range for this role is $153,600 - $192,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Engineering

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

Brex’s Governance, Risk, and Compliance function is at an exciting and pivotal point in our maturity journey and we’re seeking a team member who can seamlessly bridge compliance expertise with technical execution. As a Senior GRC Engineer, you will drive critical GRC processes that mitigate risk, keep us compliant, and build trust with our customers and partners. You'll evolve the technical foundation of our Trust program by automating security controls, building integrations between security tools and GRC platforms, and creating scalable processes that enable Brex to maintain compliance efficiently as we expand into new markets. You'll work at the intersection of security, engineering, and compliance — translating regulatory requirements into technical solutions and building automation that eliminates manual toil.

You'll leverage your deep understanding of SOC 2, PCI DSS, ISO 27001, AI governance frameworks, and others to both design controls for emerging compliance requirements and mature existing programs through automation and continuous monitoring. You’ll support Trust Assurance, Third Party Risk Management, and other Security Risk Management initiatives. Working with our Engineering, Infrastructure, and Product teams, you'll translate compliance frameworks into technical controls and build automated systems that help us achieve world-class security as Brex expands.

Your contributions will directly accelerate Brex's maturity. You'll design workflows using Tines, build integrations between security and GRC systems, and create dashboards for security metrics. You'll implement controls across the technology stack, support multiple audits (SOC 2, PCI DSS, SOX/ITGC, FINRA, ISO), and contribute to AI governance framework implementation (ISO 42001, NIST AI RMF, EU AI Act).

You'll have autonomy to build innovative solutions, collaborating cross-functionally to implement controls that enable growth while communicating technical concepts effectively across the organization.

Where you’ll work

This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Manage and scale IT infrastructure, services and tooling
• Work with a diverse group of  IT partners to optimize our provided services
• Implement new services in support of Information Technologies vision
• Scale our services by implementing configuration as code via Terraform providers or APIs
• Operationalize and upskill IT and its partners by producing documentation and leading training sessions
• Evangelize best practices both internally and externally facing

Requirements

• 5+ years of experience in GRC, IT Governance, or Security Engineering with a strong track record of automating manual compliance workflows.
• Deep experience with security frameworks such as SOC 2, PCI DSS, ISO 27001, and NIST CSF, specifically within cloud-native environments.
• Technical proficiency in Python (or similar scripting languages) and experience building integrations using APIs to connect security tools with GRC systems. You can read code, design integrations, and understand technical implementations.
• Builder mindset with the ability to design and implement automated control testing, continuous monitoring, and data-driven security metrics. You see manual processes and immediately think about how to automate them.
• Exceptional cross-functional collaboration and communication skills. You can translate complex compliance requirements into technical specifications that engineering teams can actually implement and influence stakeholders across technical and non-technical domains.
• Strong systems thinking. You have the ability to design scalable GRC architectures that grow with the company, rather than just solving for the immediate audit.
• Bias for action. You’re a self-starter who ships solutions quickly and iterates based on feedback. 

Bonus points

• Previous experience in Fintech or banking environments navigating complex regulatory landscapes.
• Hands-on experience with Tines or other SOAR platforms to automate security operations.
• Familiarity with AI/ML governance frameworks (NIST AI RMF, ISO 42001) or securing agentic systems.
• Deep knowledge of Cloud Security (AWS/GCP), infrastructure-as-code (Terraform), or DevSecOps practices.
• Relevant industry certifications such as CISSP, CISA, or CCSP.
• Experience building metrics dashboards for security visualization and reporting.
• Active contributions to the GRC or Security community through open-source projects or public research.

Compensation

The expected salary range for this role is $153,600 - $192,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Full-Time | Remote (United States)

You're the person who solves a problem by hand first. Pulling apart configs, reading logs, sitting in a customer's environment until you understand how things actually work. And then you figure out how to technologize it so nobody has to solve that problem by hand again. You've been called a unicorn, but your favorite animal is actually the honey badger: relentless, resourceful, and completely unbothered by ambiguity. You take as much pride in a well-written playbook or a clean slide deck as you do in elegant code, because you've learned that the right artifact at the right moment can be more powerful than any feature.

At Fixify, we're building an AI-native IT help desk where automation and human expertise work side by side. The hardest part isn't the AI. It's the last mile, and in enterprises, the last mile is the longest. Enterprise knowledge decays the minute it's written down. Every team has 15-step processes that nobody can fully articulate, yet everyone can tell you the instant something's wrong. Tribal knowledge lives in people's heads, not in runbooks, and the gap between how things actually work and how they're documented is where automation goes to die. This role exists to close that gap: get inside a customer's world, understand what's really happening, and make sure our platform knows it too. You'll report directly to the CTO and work within Engineering, but your day will look nothing like a typical engineer's.

This is our first Forward Deployed Engineer hire. If every company in Silicon Valley is hiring FDEs, here's what makes ours different: you're not here to do professional services with a fancy title. You're here to make customers wildly successful while building the muscle and tooling that makes the next customer successful faster. You'll be equal parts engineer, consultant, and investigator. You don't just configure what customers ask for. You come to them with a point of view about how their IT operations should change to get more from automation, informed by their data and your experience across other environments. If you get a rush from telling a customer something true about their own processes that they hadn't seen yet, keep reading.

What we can do for you

• Make you the first person in a role that will define how Fixify works with its most important customers, with a direct line to the CTO and a mandate to shape how we do it.
• Put you at the intersection of AI, customer operations, and product, where your work directly influences what gets built and how customers experience Fixify.
• Give you the autonomy to move between knowledge configuration, tooling development, customer education, and process design based on where the highest leverage is on any given day.
• Surround you with engineers, data scientists, and operators who are building something genuinely new: an AI-native service that blends automation with human empathy in ways most companies only talk about.
• Let you see the impact of your work immediately. When you improve a playbook, tune an automation, or restructure how we capture knowledge, you'll see it in resolution times, customer confidence, and the volume of problems that never need a human again.

What you can do for us

• Own the last mile of customer success: ensuring each customer's knowledge, configurations, and processes are set up so that automation works at the right time, on the right things, with the right context.
• Dig into customer environments to extract the tacit, tribal knowledge that lives in people's heads (the stuff that's not in any runbook) and structure it into playbooks and knowledge configurations our AI can act on.
• Evaluate and tune automation performance: figure out what's firing correctly, what's missing, what's producing poor outcomes. When something isn't working, you own it. You don't escalate to engineering and wait. You treat it as an opportunity to improve the system yourself.
• Come to customers with a point of view about their own operations, informed by their data and your experience across other environments. Help them see where their IT processes need to change to get more from automation, not just replicate existing workflows inside our platform.
• Recognize patterns across customers. What you learn in one environment should make the next one faster. Turn repeatable insights into repeatable approaches.
• Close the feedback loop between the field and the product. When you see confusion, friction, or a gap, you don't just work around it. You surface it, document it, and push for it to be fixed at the source.
• Partner with Engineering, Product, Data Science, and Customer Success to translate what you're learning in the field into prioritized improvements that make every future deployment faster.

What you should bring with you

• Experience solving complex, ambiguous problems in customer-facing technical roles. Solutions engineering, technical consulting, implementation engineering, or similar work where you had to learn fast and deliver under pressure.
• Comfort writing code (Python, TypeScript, or similar) and working with APIs. You can build a script, automate a workflow, or push a fix when the situation calls for it. But your first instinct is to reach for knowledge and education before reaching for a code change.
• Working knowledge of IT operations. You understand ticketing systems, identity providers, endpoint management, and the kind of enterprise infrastructure that IT teams live in every day.
• Familiarity with AI/ML concepts and a genuine curiosity about how large language models, automation, and knowledge systems can transform service delivery.
• The investigative instinct to pull apart a customer's Okta configs, dig through their logs, trace their ticket history, and piece together why automation isn't doing what it should. Not just what the dashboard says, but what's actually happening underneath.
• A practice of producing artifacts that other people can actually use. Documentation, playbooks, operational recommendations. You know that scaling knowledge is as important as having it.
• Clear communication skills that work across audiences. You can explain a technical architecture to an engineer and explain why a process change matters to a VP of IT, in the same afternoon.
• A genuine belief that every support question is a signal, every moment of customer confusion is a product failure, and every workaround is a feature waiting to be built.
• Comfort operating in a fast-moving startup where your role will evolve as we learn. You're energized by ambiguity, not paralyzed by it.

Job Description

• Develop and perform system validation tests using leading-edge Data Center equipment and scalable automation platforms. The validation team holds customers’ system requirements in the highest regard and is solely responsible for certifying a product’s conformance to this high bar.
• Understand the performance and functionality requirements our AI fabric Switches must deliver to enable customers developing Data Center systems using Astera Labs’ game-changing portfolio of connectivity products for Artificial Intelligence and Machine Learning applications.
• Formulate a comprehensive validation plan for AI fabric switch products. automate the testing of ICs and board products in a data-centric manner, design experiments to root-cause unexpected behavior, report results and specification compliance in an automated fashion.
• Work with key customers directly to understand their care-abouts and highlight the unique capabilities and performance of Astera Labs’ solutions.

Basic Qualifications 

• Strong academic and technical background in Electrical or Computer Engineering. At a minimum, a Bachelor’s is required, and a Master’s is preferred.
• ≥3 years' experience supporting or developing complex SoC/silicon products for Server, Storage, and/or Networking applications.
• Basic understanding of x86/ARM architecture, UEFI/Linux boot sequence. 
• Good understanding of High Speed Signaling Principles.
• Professional attitude with the ability to prioritize a dynamic list of multiple tasks, to plan and prepare for customer/internal meetings in advance, and to work with minimal guidance and supervision.
• Entrepreneurial, open-mind behavior and can-do attitude. Think and act with the customer in mind!

Required Experience 

• Hands-on, thorough knowledge of high-speed protocols like  PCIe, CXL, NVMe, or Ethernet.
• Experience with Silicon/System bring-up, validation, and debug experience, including in customer systems.
• A strong background in developing bench automation techniques, especially using Python, with emphasis on execution efficiency, repeatability, data analysis and reporting.
• Experience with lab equipment including protocol analyzers, in-circuit debuggers, and CPU-based tool suites.
• Ability to work on multiple projects.

Preferred Experience 

• Working knowledge of C or C++ for embedded FW and device drivers.
• Familiarity with PCIe compliance standards and ability to follow and be involved in compliance consortiums to adapt the tests to be run from X86/ARM based platforms.
• Knowledge of schematic capture and PCB layout tools from Cadence Allegro, Altium, etc.
• Exceptional interpersonal and collaboration skills, with a proven track record of effectively leading, influencing, and navigating complex matrixed environments.

Your base salary will be determined based on your experience and the pay of employees in similar positions. The base salary range is $135,000 USD - $165,000 USD for Senior Level, and $160,000 USD - $195,000 USD for Staff Level.

Position Summary: 

Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Machine Learning Engineer.  We are looking for a software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services. 

In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. 

Responsibilities: 

• Develop and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc. 

• Develop and maintain backend services using Python, focusing on AI-driven applications. 

• Design and implement APIs for seamless integration with AI models and services. 

• Develop tools for large-scale data processing and ETL and contribute to extracting insights from data to help guide ML systems development 

• Participate in code reviews, testing, and quality assurance processes. 

• Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services. 

• Develop algorithms to ensure the integrity and robustness of ML solutions by developing automated testing and validation processes. 

• Document and communicate development processes and implementation details with peers and supervisors 

• Ensure the security and compliance of healthcare data, adhering to HIPAA regulations. 

Required Qualifications: 

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related quantitative field. 

• 2+ years experience in the industry with a strong focus on ML solutions development and production deployment is a plus. 

• Good understanding of Machine Learning fundamentals such as Deep Neural Networks, Transformer-based LLM and MLMs, Boosted or standard decision trees, RAG, etc.  

• Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development. 

• Proficiency in Python and familiarity with ML libraries such as PyTorch. 

• Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc. Some experience in developing and fine-tuning prompts on any of the GenAI services is a plus. 

• Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking. 

• The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment. 

• Good written communication skills that enable collaboration in a remote environment. 

Job Title: Software Engineer
Employment Status: Exempt
Office Hours: Monday - Friday; hybrid schedule
Location: Boston, Massachusetts
Compensation: $130,000 - $150,000 base salary + bonus + equity
*compensation dependent on related experience level

About Ketryx:

Ketryx is an AI software platform that enables healthcare life sciences companies to ship life-saving regulated products in weeks instead of years.

Exploding product complexity is burying companies in compliance paperwork and blocking innovation. Our AI software removes this friction, dissolving the historical tradeoff between innovation and compliance, and enables regulated industries to innovate at the pace of modern software.

Just two years since launch, Ketryx already touches the lives of 25M patients and powers 3 of the world’s top 5 MedTech companies and 25% of the Fortune 500 MedTech market. Backed by Lightspeed Ventures, our founders are the former Head of AI at Amgen and CTO of Wolfram Cloud.

Healthcare and life sciences is just the beginning for us. Automotive, aerospace, energy — if it’s regulated, it’s because society decided it matters. These products move humanity, shape our future, and are safety-critical. Come join us and help build the AI platform to power safe innovation.

About the Role:

Join us in an exciting opportunity as a Software Engineer, where you will become an integral part of an extraordinary team of engineers dedicated to shaping the future of software at Ketryx. In this dynamic role, you will contribute to a small, highly motivated team, actively steering projects to successful completion. 

In this role, you will play a pivotal role in shaping the technological landscape, assuming ownership of critical technology decisions and roadmaps. With a self-starting attitude and a robust hands-on mentality, you will be at the forefront of tackling complex problems and driving innovation. Embracing agile working models, you will foster ideation, envision future possibilities, and address detailed improvements concurrently, contributing to Ketryx's commitment to reinventing how medical device manufacturers bring life-saving innovations to market. If you're reliable, detail-oriented, and ready to contribute to a global team, you could be a part of our mission to create safe and reliable medical software!

About You:

The ideal candidate is someone who possesses a deep passion for software and a profound desire to contribute to enhancing patient treatments through technological innovation. Your innate inquisitiveness, coupled with an unwavering enthusiasm for challenging assumptions, sets you apart. With excellent communication skills in both spoken and written English, you thrive in collaborative environments, where the exchange of ideas is paramount.

As a self-starter, you relish the opportunity to excel in a fast-paced startup environment, taking ownership of technology decisions and roadmaps. Your commitment to driving innovation aligns seamlessly with the ethos of our team, making you an invaluable asset in shaping the future of software at Ketryx. You are driven by a genuine love for software, a desire to improve patient outcomes, and the excitement of navigating cutting-edge challenges.

Responsibilities:

• Engage in customer interactions, collect feedback to build/design new prototypes and shape, plan and build product features together with our designers, product managers and other stakeholders
• Build features end to end, including backend and database work, with a strong focus on the user interface and user experience
• Collaborate closely with other team members in the Boston office (including Pre-Sales, Sales, Post-Sales, and Marketing) to shape and build product improvements (across the whole product)
• Build accessible user interfaces with React (NextJS), Tailwind, JollyUI (shadcn) and React Aria
• Establish and maintain good UI development practise in our codebase, while shaping out a well-documented component library with our design team
• Refactor and improve existing user interfaces, ideally by extracting and re-using common components
• Support and mentor other team members to help them build better UI
• Provide technical support to customers, collaborating with the Client Operations team

Required Skills:

• Ability to work in a fast moving startup environment, taking ownership of product features and pushing them forward
• 3+ years of full-time industry experience building frontend web applications in a production environment
• Very good understanding of using TypeScript (2+ years) with React (3+ years)
• Good understanding of using React Aria or an equivalent library for building accessible React components
• Experience in either building a design system and/or using an existing component library
• Experience using Tailwind with React

Preferred Skills:

• Good understanding of GraphQL and fragments
• Prior experience with logging tools such as AWS CloudWatch and Sentry
• Prior experience building AI related UI, particularly for large language models (e.g. Chat interfaces, builtin AI interactions)
• Additional full stack experience, e.g. working in a NextJS / express backend, working with a SQL database

Keywords: engineer, fullstack, full-stack, full stack, frontend, front-end, front end, back-end, back end, backend

Position Summary: 

Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Machine Learning Engineer.  We are looking for a software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services. 

In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. 

Responsibilities: 

• Develop and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc. 

• Develop and maintain backend services using Python, focusing on AI-driven applications. 

• Design and implement APIs for seamless integration with AI models and services. 

• Develop tools for large-scale data processing and ETL and contribute to extracting insights from data to help guide ML systems development 

• Participate in code reviews, testing, and quality assurance processes. 

• Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services. 

• Develop algorithms to ensure the integrity and robustness of ML solutions by developing automated testing and validation processes. 

• Document and communicate development processes and implementation details with peers and supervisors 

• Ensure the security and compliance of healthcare data, adhering to HIPAA regulations. 

Required Qualifications: 

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related quantitative field. 

• 2+ years experience in the industry with a strong focus on ML solutions development and production deployment is a plus. 

• Good understanding of Machine Learning fundamentals such as Deep Neural Networks, Transformer-based LLM and MLMs, Boosted or standard decision trees, RAG, etc.  

• Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development. 

• Proficiency in Python and familiarity with ML libraries such as PyTorch. 

• Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc. Some experience in developing and fine-tuning prompts on any of the GenAI services is a plus. 

• Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking. 

• The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment. 

• Good written communication skills that enable collaboration in a remote environment. 

Power the Future of AI at Roblox!

Join the AI Platform team at Roblox, where we are building the infrastructure that enables world-class AI/ML experiences. Our mission is to empower developers and creators by providing scalable, high-performance systems that drive AI innovation at an unprecedented scale.

As an AI Platform Engineer specializing in ML Infrastructure, Training data Infrastructure and Feature Store Infrastructure, you will design and build next-generation ML data platforms, enabling AI applications across recommendations, search, safety, content generation, fraud detection, and more. Your work will directly impact millions of users, supporting AI-driven experiences across the entire Roblox ecosystem.

Why This Role?

• Massive Impact: Your contributions will support billions of daily interactions, powering AI-driven experiences across gaming, learning, social connections, and digital creativity.
• End-to-End Ownership: Be a key architect in defining and building Roblox’s Training Data pipelines and Feature Store infrastructure from the ground up.
• Cutting-Edge Growth: Work at the intersection of AI/ML, data engineering, and distributed systems, solving some of the most complex large-scale challenges in the industry.

You will:

• Develop a scalable Feature Store: Architect and implement a system that supports both batch and real-time feature computation, storage, and serving, enabling low-latency AI inference at scale. Develop Sequence Feature Stores to collect raw user events and power training of transform models for recommendation engines at Roblox. 
• Develop Roblox’s first training data platform: Architecture and engineer training data collection, reusability and reliability while solving world class engineering problems like point-in-time joins, feature injection. Power batch and realtime model training. 
• Engineer large-scale ML data pipelines: Design, optimize, and maintain high-throughput streaming and batch ETL pipelines that ingest, process, and serve billions of records per day.
• Build a feature engineering framework to empower 100s of machine learning engineers to develop, author, experiment and productionize millions of signals into the system quickly, easily and reliably. 
• Enable online and offline inference: Ensure real-time, low-latency feature access for AI inference while maintaining consistency and robustness for batch model training.
• Collaborate with cross-functional AI teams: Partner with ML researchers, data engineers, and product teams to build the next-gen AI infrastructure that fuels innovation at Roblox.
• Research & innovate: Stay at the forefront of AI infrastructure by exploring the latest in VectorDBs, Feature Stores, Graph ML, Agentic Systems and Real-time AI serving. 

You have:

• 5+ years of experience in AI/ML data infrastructure, feature stores, training data infrastructure. Experience working with industry leading NoSql databases like DynamoDB, Cassandra, cockroachDB and many more. 
• Expertise in building scalable ML data pipelines for both batch and real-time environments.
• Strong software engineering skills with experience in distributed computing frameworks (e.g., Spark, Flink, Ray) and real-time data systems (e.g., Kafka, Redis, DynamoDB).
• Deep knowledge of ML Feature Stores (e.g., Feast, Tecton, Vertex AI Feature Store) and embedding/vector search infrastructure.
• Familiarity with Knowledge Graphs and graph-based ML applications (e.g., Neo4j, TigerGraph, AWS Neptune).
• A Bachelor's degree in Computer Science, Engineering, or a related field

Meet our software engineers!

About the role

We are looking for an AI engineer to join a small, high-impact team building the AI capabilities, agent frameworks, and app platform that power every Applied product and the workflows our own engineers rely on daily. This is a 0 to 1 role with real customer demand already behind it and the potential to scale into a major new business line. You’ll operate like a startup within a larger, well-resourced company – with the freedom to experiment, ship fast, and work directly with customers.

At Applied Intuition, you will:

• Design and ship the shared AI infrastructure, frameworks, and tooling that power AI capabilities across Applied’s products and toolings.
• Partner with product teams to identify the highest-leverage AI use cases and take them from idea to production.
• Serve as a GenAI/LLM expert across the company – owning best practices for architecture, safety, evaluation, and deployment.
• Design, build, and ship agentic systems such as background coding agents, AI SRE tooling
• Work directly with customers to understand their needs, demo capabilities, and shape the product roadmap. Both external customers and internal teams are your customers.

We're looking for someone who has:

• A Bachelor's degree in Computer Science, Software Engineering, or equivalent
• 2+ years of experience building and deploying AI/ML-powered features & products
• Hands-on proficiency working with LLMs and agentic architectures.
• Strong software engineering fundamentals and a bias toward shipping production-quality code quickly
• Comfort working across the stack, from backend infrastructure to APIs to frontend work.
• A collaborative mindset and genuine enjoyment of customer interaction – both with external customers and internal teams who depend on your work.
• Proven ability to take initiative and context-switch across multiple high-priority projects in a fast-paced environment

Nice to have:

• Practical ML literacy – you understand model evaluation, data pipelines, and the tradeoffs between approaches
• Background in developer tooling, platform engineering, or internal productivity infrastructure
• Experience working with autonomous vehicle systems or simulation software

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: $126,000 - $250,000 USD annually.

About the team  

Our Warfighter Systems division is pioneering a future where mixed reality (MR), creates immersive, intuitive, and life-saving technologies. By seamlessly integrating real-time data with cutting-edge visualization tools, we are empowering warfighters with unparalleled situational awareness, enhanced training experiences, and operational superiority. This team is consistently pushing the boundaries of what's possible and shaping a future where technology and defense unite to protect our nation.  If this starts to excite you, we invite you to read further!

About the job  

We are seeking a highly skilled and experienced Systems Engineer to design, develop, and validate sophisticated models for our complex electro-mechanical systems, with a particular focus on sensors, cameras, and displays. The ideal candidate will leverage first-principles physics, empirical data, and advanced mathematical techniques to create high-fidelity, predictive models used across the entire product lifecycle – from concept exploration and design optimization to control system development and virtual testing. This role is critical in accelerating our product development cycles, improving system performance, and ensuring robust and reliable operation. 

What you'll do

• Model Development: 
  • Develop mathematical and behavioral models for various sensor types (e.g., IMU, Lidar, Radar, Ultrasonic, environmental sensors), capturing characteristics such as noise, latency, calibration, field of view, and transfer functions.
  • Create detailed camera models, encompassing optics, image signal processing pipelines, distortion, resolution, dynamic range, and temporal characteristics.
  • Integrate individual component models into comprehensive system-level simulations, accurately representing their interactions and overall system dynamics.
  • Develop and maintain Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) simulation environments. 

• Model Validation & Calibration:
  • Design and execute experiments to gather real-world data for model parameter identification, calibration, and validation.
  • Perform rigorous statistical analysis to quantify model accuracy, uncertainty, and fidelity against empirical measurements.
  • Identify discrepancies between model predictions and real-world behavior and iteratively refine models for improved accuracy. 

• Performance Analysis & Optimization:
  • Conduct trade-off studies using models to optimize system architecture, component selection, and control strategies based on performance, cost, power consumption, and reliability metrics.
  • Predict system performance under various operating conditions and environmental factors.
  • Perform sensitivity analyses to understand the impact of individual parameters on overall system behavior.
  • Support root cause analysis of system issues using simulation. 

• Collaboration & Communication:
  • Collaborate closely with cross-functional teams including Electrical, Mechanical, Controls, Software, and Test Engineers to define model requirements and integrate models into the broader development process.
  • Clearly communicate complex modeling concepts, results, and limitations to both technical and non-technical stakeholders through presentations and detailed documentation. 

• Tooling & Methodologies:
  • Select, evaluate, and implement appropriate modeling and simulation tools and techniques.
  • Develop custom scripts and tools to enhance modeling capabilities and automate workflows.
  • Stay abreast of industry best practices, new modeling methodologies, and emerging simulation technologies. 

Required Qualifications

• 6+ years of experience in system modeling, simulation, and analysis, particularly with electro-mechanical systems.
• Demonstrated experience in developing models for at least two of the following:

• • Sensors: IMUs (accelerometers, gyros), Lidars, Radars, Ultrasonic sensors, microphones, etc. (noise characteristics, drift, latency, sensor fusion).
  • Cameras: Optical models, image processing pipeline models, distortion, noise, dynamic range, rolling shutter effects.
  • Display: See/pass-through near eye display architectures, optical modeling, validations, & human perception 

• Strong theoretical foundation in classical and modern control systems, dynamics, signal processing, and numerical methods.
• Proficiency in primary modeling and simulation tools such as MATLAB/Simulink (Simscape a plus), Python (SciPy, NumPy, Pandas), or C/C++.
• Experience with model validation against experimental data and statistical analysis techniques.
• Excellent problem-solving skills, with an ability to apply first principles to complex engineering challenges.
• Strong communication and interpersonal skills, with the ability to work effectively in a team environment. Strong technical communication skills to collaborate effectively with cross-functional teams. 
• U.S. Person Status: Due to government contract requirements, candidates must be a U.S. Person (U.S. Citizen or Green Card holder).
• Bachelor's or Master's degree in Electrical Engineering, Mechanical Engineering, Robotics, Aerospace Engineering, Physics, or a related quantitative field. 

Preferred Qualifications

• Ph.D. in a relevant engineering or scientific discipline.
• Familiarity with Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL) testing methodologies and platforms (e.g., dSPACE, National Instruments).
• Knowledge of advanced control techniques (e.g., adaptive control, optimal control, robust control) and estimation algorithms (e.g., Kalman filters, particle filters).
• Experience with machine learning techniques for model identification, surrogate modeling, or data-driven predictions.
• Exposure to systems engineering processes, requirements management, and configuration control.

About the team  

Our Warfighter Systems division is pioneering a future where mixed reality (MR), creates immersive, intuitive, and life-saving technologies. By seamlessly integrating real-time data with cutting-edge visualization tools, we are empowering warfighters with unparalleled situational awareness, enhanced training experiences, and operational superiority, primarily through our EagleEye augmented reality system. This team is consistently pushing the boundaries of what's possible and shaping a future where technology and defense unite to protect our nation.  If this starts to excite you, we invite you to read further!

About the job  

We are seeking a highly skilled and experienced Systems Engineer to design, develop, and validate sophisticated models for our complex electro-mechanical systems, with a particular focus on sensors, cameras, and displays. The ideal candidate will leverage first-principles physics, empirical data, and advanced mathematical techniques to create high-fidelity, predictive models used across the entire product lifecycle – from concept exploration and design optimization to control system development and virtual testing. This role is critical in accelerating our product development cycles, improving system performance, and ensuring robust and reliable operation. 

What you'll do

• Model Development: 
  • Develop mathematical and behavioral models for various sensor types (e.g., IMU, Lidar, Radar, Ultrasonic, environmental sensors), capturing characteristics such as noise, latency, calibration, field of view, and transfer functions.
  • Create detailed camera models, encompassing optics, image signal processing pipelines, distortion, resolution, dynamic range, and temporal characteristics.
  • Integrate individual component models into comprehensive system-level simulations, accurately representing their interactions and overall system dynamics.
  • Develop and maintain Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) simulation environments. 

• Model Validation & Calibration:
  • Design and execute experiments to gather real-world data for model parameter identification, calibration, and validation.
  • Perform rigorous statistical analysis to quantify model accuracy, uncertainty, and fidelity against empirical measurements.
  • Identify discrepancies between model predictions and real-world behavior and iteratively refine models for improved accuracy. 

• Performance Analysis & Optimization:
  • Conduct trade-off studies using models to optimize system architecture, component selection, and control strategies based on performance, cost, power consumption, and reliability metrics.
  • Predict system performance under various operating conditions and environmental factors.
  • Perform sensitivity analyses to understand the impact of individual parameters on overall system behavior.
  • Support root cause analysis of system issues using simulation. 

• Collaboration & Communication:
  • Collaborate closely with cross-functional teams including Electrical, Mechanical, Controls, Software, and Test Engineers to define model requirements and integrate models into the broader development process.
  • Clearly communicate complex modeling concepts, results, and limitations to both technical and non-technical stakeholders through presentations and detailed documentation. 

• Tooling & Methodologies:
  • Select, evaluate, and implement appropriate modeling and simulation tools and techniques.
  • Develop custom scripts and tools to enhance modeling capabilities and automate workflows.
  • Stay abreast of industry best practices, new modeling methodologies, and emerging simulation technologies. 

Required Qualifications

• 9+ years of experience in system modeling, simulation, and analysis, particularly with electro-mechanical systems.
• Demonstrated experience in developing models for at least two of the following:

• • Sensors: IMUs (accelerometers, gyros), Lidars, Radars, Ultrasonic sensors, microphones, etc. (noise characteristics, drift, latency, sensor fusion).
  • Cameras: Optical models, image processing pipeline models, distortion, noise, dynamic range, rolling shutter effects.
  • Display: See/pass-through near eye display architectures, optical modeling, validations, & human perception 

• Strong theoretical foundation in classical and modern control systems, dynamics, signal processing, and numerical methods.
• Proficiency in primary modeling and simulation tools such as MATLAB/Simulink (Simscape a plus), Python (SciPy, NumPy, Pandas), or C/C++.
• Experience with model validation against experimental data and statistical analysis techniques.
• Excellent problem-solving skills, with an ability to apply first principles to complex engineering challenges.
• Strong communication and interpersonal skills, with the ability to work effectively in a team environment. Strong technical communication skills to collaborate effectively with cross-functional teams. 
• U.S. Person Status: Due to government contract requirements, candidates must be a U.S. Person (U.S. Citizen or Green Card holder).
• Bachelor's or Master's degree in Electrical Engineering, Mechanical Engineering, Robotics, Aerospace Engineering, Physics, or a related quantitative field. 

Preferred Qualifications

• Ph.D. in a relevant engineering or scientific discipline.
• Familiarity with Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL) testing methodologies and platforms (e.g., dSPACE, National Instruments).
• Knowledge of advanced control techniques (e.g., adaptive control, optimal control, robust control) and estimation algorithms (e.g., Kalman filters, particle filters).
• Experience with machine learning techniques for model identification, surrogate modeling, or data-driven predictions.
• Exposure to systems engineering processes, requirements management, and configuration control.

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before. Learn more at geniussports.com. 

About the Role  

We’re looking for a Senior Software Engineer on our Sports AI team to help build the next generation of real-time AI systems powering sports analysis and insights. 

These systems transform live sports broadcasts (incorporating signals from video, crowd noise, audio commentary, and text) into a structured understanding of game context and auto-generated insights. The outputs from these systems power a range of products including automated highlight clipping, augmented broadcasts, semi-automatic play-by-play collection, and natural-language insight generation. For example, these systems can detect a goal, attribute it to the correct player, and localize where it occurred on the pitch within seconds by combining crowd noise spikes, commentary signals, and video cues. 

This role sits at the intersection of streaming and distributed systems, AI, and product engineering. You’ll build and operate real-time pipelines that process noisy, asynchronous inputs under tight latency constraints. These systems combine traditional streaming and data processing techniques with modern multimodal AI models to produce reliable outputs in production. 

You’ll work on challenges like aligning signals across multiple sources, handling uncertainty and inconsistency in model outputs, and designing systems that degrade gracefully in real-world conditions. We are early in building these capabilities, so the role involves working through ambiguity, experimenting with different approaches, and building new systems from first principles where established patterns don’t yet exist. 

Key Responsibilities 

• Design, build, and operate real-time streaming systems that convert live sports broadcasts into structured events, attributes, and insights
• Ingest and synchronize signals from video, audio, commentary, and data feeds under real-world latency and reliability constraints
• Integrate modern AI models into production systems, including multi-step pipelines where model outputs are composed, validated, and refined
• Design and implement evaluation and observability frameworks to measure system quality, including offline benchmarks, real-time metrics, and regression testing
• Develop mechanisms for identifying and handling uncertainty in model outputs, such as confidence scoring, validation checks, and human-in-the-loop workflows where appropriate
• Own systems end-to-end from early prototypes through production, making key architectural decisions around scalability, reliability, and performance
• Collaborate closely with product and data partners to shape, prioritize, and ship high-impact systems
• Mentor engineers and help establish best practices for building and operating applied AI systems in production 

  
Qualifications   

• 5+ years of experience building production-grade software systems 
• Strong software engineering fundamentals including system design, testing, observability, and performance 
• Experience building streaming, data-intensive, and/or distributed systems with real-time constraints
• Proven ability to design scalable systems that are robust under real-world conditions, including handling partial failures, inconsistent data, and latency tradeoffs
• Ability to evaluate system quality beyond traditional metrics (e.g., ambiguous or probabilistic outputs)
• Product-minded: able to translate ambiguous problems into practical, high-impact solutions
• Strong, demonstrated interest in building AI-powered features or systems; keep up with latest generative AI progress and capabilities
• Comfortable working in fast-moving, iterative environments with evolving requirements 

  
Preferred Qualifications   

• Hands-on experience integrating LLMs and other ML/AI systems in production workflows via platforms like Vertex AI or AWS Bedrock
• Experience building or maintaining human-in-the-loop workflows
• Familiarity with streaming systems and tooling (e.g., Pulsar, Kafka, Flink, etc.)
• Experience working with audio/video streaming and processing systems, including familiarity with media delivery protocols (e.g., HLS, DASH, RTP), container formats, codecs, and tooling such as FFmpeg or GStreamer
• Background or strong interest in sports
• Experience with Rust 

The salary for this role is based on an annualized range of $160,000 - $230,000 USD. This role will also be eligible to take part in Genius Sports Group's benefits plan.

We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required.

As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports. One team, being brave, driving change 

We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius Sports.

Let us know when you apply if you need any assistance during the recruiting process due to a disability.

About the Role:

Join Planet’s Software Engineering Team as a Senior Geospatial AI/ML Engineer and help us build the next generation of geospatial intelligence. In this role, you will develop cutting-edge capabilities using geospatial embeddings, advanced multi-modal architectures, unsupervised and semi-supervised techniques, and vision transformers.

You will design, develop, and deploy sophisticated machine-learning models that transform massive imagery and sensor data archives into high-fidelity, actionable intelligence about global activity. Your work will heavily leverage Electro-Optical (EO), Multi-Spectral Imaging (MSI), and Synthetic Aperture Radar (SAR) modalities. The ideal candidate exudes an enthusiasm for working in an AI forward development flow. You naturally integrate AI-assisted tools into your workflow to drive your own productivity and enjoy being part of a team that treats AI as a core collaborator in the development lifecycle. The ideal candidate expresses great passion for machine learning, programming, remote sensing, and large-scale scientific computing.

This is a full-time, hybrid role which will require you to work from our new Denver, CO office 3 days per week.

Impact You'll Own:

• Apply advanced expertise in multi-modal architectures, LLMs, and vision transformers to process massive datasets from EO, MSI, and SAR sensors.
• Own the complete lifecycle of new models, from data curation and rigorous model analysis to deployment, stability, and continuous improvement.
• Handle and  solve complex, ambiguous technical challenges, aligning your solutions with the company's larger goals.
• Use your deep domain expertise to guide future feature development toward high-impact, achievable technical milestones.

What You Bring:

• Bachelor’s degree in Computer Science, Applied Mathematics, Physics, or a related field.
• 6+ years of relevant industry experience in machine learning, data science, or geospatial algorithm development.
• Advanced expertise in Artificial Intelligence (AI) and Machine Learning (ML), including advanced algorithms, unsupervised/semi-supervised techniques, and strong mathematical foundations.

What Makes You Stand Out: 

• Proficiency in Big Data and AI/ML at scale.
• Experience with multi-modal data processing (EO, MSI, SAR), Computer Vision, and Perspective Geometry.
• Full-stack capabilities, including front-end GUI, database management, and containerization (Docker).
• Ability to balance innovative and creative technological approaches with strong coding talent.
• Expertise that can extend support beyond the Defense and Intelligence (D&I) sectors, aligning with Planet's strategic mission expansion.
• Ability to operate with a high degree of autonomy and require minimal day-to-day oversight.

#LI-REMOTE

Application Deadline:

June 30th, 2026 at 11:59p PT

Benefits While Working at Planet:

These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.

• Comprehensive Medical, Dental, and Vision plans
• Health Savings Account (HSA) with a company contribution
• Generous Paid Time Off in addition to holidays and company-wide days off 
• 16 Weeks of Paid Parental Leave
• Wellness Program and Employee Assistance Program (EAP)
• Home Office Reimbursement
• Monthly Phone and Internet Reimbursement
• Tuition Reimbursement and access to LinkedIn Learning
• Equity
• Commuter Benefits (if local to an office)
• Volunteering Paid Time Off

Compensation:

The US base salary range for this full-time position at the commencement of employment is listed below.  Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location.  The range displays our typical hiring range for new hire salaries in US locations only.  Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

At PlayStation, we're passionate about both partnership and technology. We care about building performant products and powerful tools, solving practical problems in delightful ways. We love building the systems that millions of people use, and we're always our own first customers and critics. We strive to be at the forefront of development technologies and celebrate our diversity with engineering teams located on four continents from all walks of life. We build our teams to be places where every voice is heard, all input is valued, and our members have the creative freedom to make their ideas real. 

PlayStation is seeking a Sr Software Development Engineer in Test, ML to join our San Mateo team and lead quality efforts for machine learning-powered products and services. You will partner closely with ML engineers, software engineers, product managers, and data partners to build scalable test automation and validation approaches for systems serving PlayStation at global scale. This role is focused on building confidence in model reliability, production readiness, and behavioral consistency. Unlike traditional software backend testing, success here requires validating probabilistic systems through score distributions, cohort-level behavior, thresholds, and statistical signals, not just deterministic pass/fail assertions.

Responsibilities:

• Design, develop, and maintain automated test frameworks, test scripts for ML inference services and related ML platform components using python/Java
• Build and automate realistic, representative test account creations and datasets to evaluate model behavior across different scenarios
• Validate score distributions, ranking behavior, output quality, and other model signals for incoming ML models prior to release
• Perform different types of testing, including functional, integration, regression and API testing working with RESTful APIs, microservices and databases, and non-functional performance and load testing to verify inference service scalability, latency requirements and reliability under production like conditions
• Work closely with ML engineers and ops teams to ensure that all features and bug fixes come with automated test coverage, ensuring continuous integration and deployment
• Debug and analyze test failures, model anomalies and report defects
• Drive high standards of quality for both engineering decisions and customer-facing features with optimal test and automation strategy
• Develop and implement best practices for test automation that is highly scalable and maintainable
• Monitor test execution and optimize performance in test environments
• Come up with innovative solutions to organizational problems

Required Qualifications: 

• Bachelor's degree or equivalent
• 5+ years of experience as an SDET, with strong experience testing backend systems.
• Proficiency in Python/Java/Scala/go for test automation.
• Hands-on experience with API testing tools (e.g., Postman or similar) for distributed systems
• Familiarity with CI/CD pipelines and test execution in Jenkins or similar environments such as jenkins, GitHub Actions, ArgoCD, etc
• Hands-on experience building and maintaining automated test frameworks (e.g., pytest, JUnit, TestNG, etc.)Experience in working with databases  for backend validation.
• Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker, etc.)
• Familiarity with monitoring and observability tools (e.g., Prometheus, Grafana, Datadog, etc.) for validating service health
• Strong understanding of software development lifecycle (SDLC) and agile methodologies.
• Excellent problem-solving skills and excellent communication skills.

Preferred Qualifications:

• Experience testing machine learning systems, such as recommendation systems, search ranking systems, or other probabilistic ML application systems.
• Experience creating synthetic or seeded test data to simulate realistic customer/account behaviors.
• Experience evaluating model outputs using statistical techniques, distribution analysis, or scenario-based validation, rather than deterministic assertions.
• Knowledge of data pipelines, feature stores, inference systems or model-serving infrastructure (Seldon, KServe, Ray Serve, etc.) is a plus.
• Experience testing online services with high RPS and low latency requirements
• Experience with performance and load testing tools (Locust, k6, Gatling, JMeter, etc.)
• Experience with Databricks or similar ML platform tooling

Delivering Customer Success is an important focus for Dataiku. As a Senior Customer Success Engineer (CSE) within our Solutions Engineering team, you’ll help Dataiku’s customers achieve meaningful outcomes with business analytics, AI/ML, and Gen AI. 

In this technical and consultative customer-facing role, you’ll focus on technical programming to increase adoption through product enablement and one-to-many user engagement. You’ll leverage your understanding of enterprise analytics, high-impact communication abilities, and hands-on data science skills to add business value. This role will also partner closely with cross-functional teams, including Account Executives, Sales Engineers, and Professional Services and Partners to accelerate end-user adoption.

How you’ll make an impact 

• Work closely with Dataiku’s customers, focusing on onboarding, increasing user adoption, retention, and satisfaction.
• Possess deep technical knowledge of the Dataiku platform to educate customers on best practices within the Dataiku platform. 
• Develop a deep understanding of customer business, use cases, and outcomes to guide their success with Dataiku's products and services.
• Execute demonstrations of new product features and conduct hands-on workshops in collaboration with the Sales Engineers. 
• Establish regular touchpoints with customers to advise users on using Dataiku for their specific business needs, including hands-on support as appropriate.
• Execute programs to create self-sustaining enablement and evangelism of Dataiku within customer accounts.
• Collaborate with Account Executives and Sales Engineers to drive customer engagements with the Dataiku platform and identify opportunities for expansion (both software and professional services) that can drive additional value for customers.
• Document and share the adoption status and key information to inform internal forecasting and renewal.
• Collaborate with other Dataiku functions (such as marketing) on capturing and sharing the customer stories publicly. 
• When identifying technical issues that block user adoption, coach administrators and users to initiate support tickets for timely resolution. 
• Stay current on Dataiku’s products, competitive landscape, and data science trends.
• Willingness to travel up to 25%.

What you’ll need to be successful

• Bachelor’s degree in Data Science, Business Analytics, Statistics, Computer Science, or a related technical field.
• Minimum of four years of experience in sales engineering, technical or solutions consulting, post-sales technical delivery, or data science roles with a proven track record of customer trust and satisfaction.
• Strong written and oral presentation skills, capable of engaging both business and technical stakeholders.
• Strong technical, analytical, and problem-solving skills.
• Experience in building and operating communities of practice.
• Ability to navigate ambiguity, build consensus, foster accountability, and work with urgency to deliver customer outcomes.
• Ability to tailor messaging to personas with varying levels of technical acumen, including no-code and high-code users
• Dataiku advanced designer, Snowflake SnowPro Core and Databricks Business Analyst certifications preferred (not required).
• Preferably located within the Northeast region of the United States. 

What will make you stand out

• Never-ending intellectual curiosity, detail-oriented, and analytical.
• Hands-on experience with data storage and computing infrastructure (SQL, Kubernetes, etc.) and proficiency with Python, R, SQL
• Knack for public speaking with appreciation for engaging with all levels of customer teams, from individual contributors to leadership.
• Passion for technology, the data and analytics space, and enjoyment learning new solutions, features, and functionalities, translating these into business value for customers.
• Experience in Analytics/AI or other enterprise software (preferred but not required).

Sony Interactive Entertainment has an extraordinary opportunity in the Tools, Framework and Infrastructure team! We are looking for a motivated and creative individual to help build test tools, frameworks, and infrastructure, focused on delivering high quality system software which drives the PlayStation experience.

 As a Software Engineer, you'll focus on building test frameworks and infrastructure, internal tools, and automating test workflows. You will collaborate closely with Quality Engineering and Software Engineering teams to build robust systems to ensure console software delivered to customers and game studios are of the highest quality.

Responsibilities

• Design, build, and maintain test frameworks, tooling and infrastructure for teams which develop and test software for the Playstation console.

• Integrate automated tests into CI/CD pipelines using Jenkins, GitHub Actions or similar tools.

• Collaborate with Quality and Development teams to enable testing of both hardware and software components in isolation. 

• Construct telemetry systems and dashboard in order to make data-driven decisions about technical feature development.

• Build tooling for AI-driven testing initiatives

Required Qualifications

• Bachelor's degree in Computer science, Electrical Engineering, or equivalent

• 2+ years experience in designing, developing and maintaining tools and applications in Python, C++, or Javascript with a focus on building testing tools, and test frameworks at scale. (C++, JS experience preferred)

• Experience with test automation frameworks (e.g. Appium, Mocha.js, etc.) 

• Experience with mobile test automation on Android and/or iOS platforms.

• Hands-on experience with CI/CD systems like Jenkins, GitHub Actions or similar tools.

• Comfortable working in Linux and Windows-based development environments.

• Strong communication skills and the ability to work cross-functionally with engineering and QA teams.

• Hands-on experience applying AI/ML techniques in practical engineering contexts such as test case generation, flaky test detection, log analysis, or workflow automation.

• Strong debugging skills.

Nice-to-Have Skills

• Experience with test/build automation on PCs, consoles or other embedded systems

• Familiarity with Node, React Native/Web, Kubernetes, REST APIs

• Working knowledge Docker-based test environments.

• Game industry background

• Exposure to integrating or building tools powered by large language models

Tools and Technologies you will work with

• Jenkins (CI/CD), GitHub Actions, ArgoCD

• Python

• JavaScript, React, Next.js

• C, C++ or Rust

• Git, GitHub

• Device connectivity tools (e.g., ADB, Bluetooth analyzers)

• Containerization technology such as Docker, buildpack and Kubernetes.

Sony Interactive Entertainment has an extraordinary opportunity in the Tools, Framework and Infrastructure team! We are looking for a motivated and creative individual to help build test tools, frameworks, and infrastructure, focused on delivering high quality system software which drives the PlayStation experience.

 As a Software Engineer, you'll focus on building test frameworks and infrastructure, internal tools, and automating test workflows. You will collaborate closely with Quality Engineering and Software Engineering teams to build robust systems to ensure console software delivered to customers and game studios are of the highest quality.

Responsibilities

• Design, build, and maintain test frameworks, tooling and infrastructure for teams which develop and test software for the Playstation console.

• Integrate automated tests into CI/CD pipelines using Jenkins, GitHub Actions or similar tools.

• Collaborate with Quality and Development teams in the construction of creative test strategies for console system software.

• Develop telemetry systems and dashboard in order to make data-driven decisions about technical feature development.

Required Qualifications

• Master’s degree in Computer science, Electrical Engineering, or equivalent 

• 8+ years experience in designing, developing and maintaining tools and applications in C++, Python, or Javascript with a focus on building testing tools, and test frameworks at scale. (C++ and Python experience preferred)

• Experience with test automation frameworks

• Hands-on experience with CI/CD systems like Jenkins, GitHub Actions or similar tools.

• Comfortable working in Linux and Windows-based development environments.

• Strong communication skills and the ability to work cross-functionally with engineering and QA teams.

• Strong debugging skills.

Nice-to-Have Skills

• Experience with test/build automation on PCs, consoles or other embedded systems.

• Contributions to and familiarity with software testing systems (and general software testing experience)

• LLVM or LLVM-based C/C++ compilers

• Experience with developing or testing SDK libraries.

• Working knowledge of Docker-based test environments.

• Machine Learning experience

• Game industry background

• Japanese Language familiarity a plus
  

Tools and Technologies you will work with

• Jenkins (CI/CD), GitHub Actions, ArgoCD

• Python

• C, C++ or Rust

• Git, GitHub

• Containerization technology such as Docker and Kubernetes.

We are looking for an inspirational and hardworking person to join the 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. As a member of the Cloud Security team you will assist in the planning, design, development, testing, and management of security tools and controls that provide protection and visibility of our cloud environments.

Role Description:

Provide cloud security capabilities that are proactive, preventive-focused models that address modern threats, including those driven by AI-enabled attack techniques. Expanding into next-generation security domains such as AI/ML security, container security, and advanced threat detection and response.

We are seeking a highly experienced Cloud Security Engineer (Staff) to define and drive security architecture, strategy, and engineering practices across multi-cloud and hybrid environments. This role will serve as a technical leader responsible for securing cloud-native and AI-driven systems at scale while influencing security outcomes across multiple teams and departments.

Key Responsibilities

• Define and drive cloud security strategy, architecture standards, and technical roadmaps across cloud and AI-enabled environments
• Lead the design and implementation of preventative security controls, leveraging automation and AI-driven capabilities to reduce risk and improve detection and response
• Architect and secure complex multi-cloud and hybrid environments across AWS, Azure, GCP, and on-premise infrastructure
• Define and implement security architecture for AI/ML workloads, including model pipelines, data protection, and AI-integrated applications
• Identify and establish controls to mitigate AI-specific risks such as prompt injection, data poisoning, model leakage, and adversarial inputs
• Influence security and engineering practices across multiple teams and departments, driving adoption of secure-by-design principles
• Own the security outcomes of key cloud and AI initiatives, ensuring successful delivery and measurable risk reduction
• Establish and evolve DevSecOps and Infrastructure-as-Code (IaC) security standards, integrating security controls into CI/CD pipelines at scale
• Drive adoption and optimization of CNAPP platforms and related tooling to improve risk visibility and remediation across cloud, container, and AI environments
• Define and implement security architecture for containerized platforms (Kubernetes/EKS/GKE/AKS), including cluster hardening, workload isolation, image supply chain security, and runtime protection controls
• Lead the evolution of detection and response capabilities, integrating cloud telemetry, Cloud EDR, and advanced security analytics
• Conduct and guide threat modeling and risk assessments (Attack Surface Management, Data Security Posture Management, etc.) for complex cloud-native and AI-enabled systems
• Architect and deliver automation frameworks and security services to improve scalability and operational efficiency
• Provide technical leadership and mentorship to engineers, influencing department-level goals and technical direction

Qualifications:

• Bachelor’s degree or equivalent in Computer Science, Information Security, or related field
• Proven experience defining and securing large-scale cloud and hybrid architectures (AWS, Azure, GCP, On-Premise)
• Deep expertise in cloud security architecture, including IAM, network segmentation, encryption, and secure design patterns
• Strong programming and automation experience, with the ability to design and scale security engineering solutions
• Extensive experience implementing DevSecOps practices and securing Infrastructure-as-Code (IaC) workflows
• Expertise working with container technologies (Kubernetes, Docker, EKS, GKE, AKS)

AI / ML Security Expertise

• Deep understanding of security risks in AI/ML systems, including prompt injection, data poisoning, model leakage, and adversarial inputs
• Experience defining and securing AI/ML architectures, including training pipelines, inference systems, and AI-integrated applications
• Strong knowledge of data security and privacy controls in AI systems
• Familiarity with frameworks such as OWASP Top 10 for LLMs and NIST AI Risk Management Framework
• Experience securing advanced AI patterns such as LLM integrations, APIs, MCPs, RAG pipelines, or model services (preferred)

Security Tooling & Operations

• Experience leading implementation and adoption of CNAPP platforms
• Deep understanding of cloud detection and response, IaC scanning, and runtime protection
• Strong background in security prevention, detection, and response strategy

Additional Experience

• Experience designing highly scalable, resilient, and secure architectures across application, network, and data layers
• Experience influencing technical direction across multiple teams or departments
• Relevant certifications (e.g., ISC2, GIAC, AWS, Azure, GCP) preferred
• Experience working across multi-OS and distributed environments

Senior Software Engineer – PlayStation
Location: Aliso Viejo, CA
Type: Full-time: Hybrid; onsite 2–3 days/week

Shape how millions experience PlayStation.
We’re looking for a Senior Software Engineer to help build the high-performance services that power real-time experiences across console, web, and cloud. You’ll solve tough systems problems, ship code at scale, and collaborate with teammates around the world. If you enjoy working with a highly collaborative team on these challenges, we’d love to hear from you.

What You’ll Do

• Design, build, and maintain high-performance C/C++ services that power PlayStation experiences.

• Develop features used across consoles, servers, and web services; own your code from design through deployment in Linux environments.

• Profile, troubleshoot, and optimize complex, distributed systems.

• Write clean, maintainable code using solid object-oriented design principles.

•   Participate in design reviews, code reviews, and technical discussions with a global team.

What we’re looking for (required)

• BS in Computer Science or related field, or equivalent practical experience.

• 6+ years of experience writing modern C/C++ for production systems.

• Proficiency in Linux for development, testing, and deployment.

• Experience with build and version control tools (e.g., CMake, Git).

• Demonstrated debugging skills in large codebases and performance-critical paths.

Bonus skills (nice to have)

• Experience with PlayStation projects or other console/embedded systems.

• Hands-on work with real-time media, graphics, or video pipelines.

• Familiarity with shader programming and/or video transcoding.

• Experience with AMD transcoding hardware or GPU-accelerated compute.

• Knowledge of design patterns and distributed systems best practices.

• AI/ML usage for auto testing and stress testing

Why Join Us?

• Work on globally impactful systems that push the boundaries of real-time media and gaming tech.

• Collaborate with world-class engineers and access the latest tools and hardware in the PlayStation ecosystem.

• Opportunities to learn, grow, and influence systems at scale

Equal Opportunity Statement:

Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including color, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, birthing parent or parental status, trade union membership or membership in any other legally protected category.

We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.

PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

#LI-AT1

We have an exciting opportunity at Sony Interactive Entertainment LLC (PlayStation). Our software production organization seeks a software engineer for our Platform Audio team. This team is a trailblazer in audio technology. Efforts here will contribute to the development of system libraries used for both our current and next generation PlayStation products. You will drive the design and implementation of technology used for 3D audio, hardware DSP, and virtual reality. The software you develop here is the foundation of an SDK for industry leading game and content developers and will change the way audio is used worldwide. If this is you, please apply! 

Responsibilities:

• Drive algorithm development and implementation in spatial audio, psychoacoustics, and other audio related fields including HRTF (capture, synthesis, personalization), Ambisonics, loudspeaker rendering, and more

• Develop requirements based on research or user input and assist with platform integration

• Systems level multi-threaded programming and debugging using C and C++

• Collaborate with international counterparts to contribute to PlayStation’s Tempest 3D Audio technology and our greater audio ecosystem

Qualifications:

• 5 years or more of digital signal processing experience

• Proficient in: C/C++, Python

• Experience as a technical contributor to a project involving spatial audio

• Solid understanding of basic acoustic and psychoacoustic principles

• Bachelor's degree or equivalent

Nice-to-Have:

• Basic source control experience (git)

• Knowledge of audio production tools and software (e.g. Reaper, VST Development)

• Embedded systems development

• Graphics or GPU programming experience

• ML/AI modeling and training experience

• Experience in developing novel audio technologies

#LI-RG1

Position Overview:

We have an exciting opportunity at Sony Interactive Entertainment LLC (PlayStation). Our software production organization seeks a senior-level software engineer for our Video Codecs team. This team is a trailblazer in video encoding/decoding technology. Efforts here will contribute to the development of system libraries used for both our current and next generation PlayStation products. You will contribute to the design and implementation of technology used for cloud gaming, remote play, game recording, video streaming and in-game video playback. The software you develop here is the foundation of an SDK for industry leading game and content developers and will change the way video games are played worldwide. If this is you, please apply! 

Responsibilities:

• Drive video codecs architecture design and development for PlayStation SDKs and cloud gaming platform.
• Own multiple encoder/decoder features with strong accountability for quality, performance, and maintainability.
• Conduct system-level performance investigations and lead optimization strategies across CPU and GPU.
• Partner with platform, hardware, and system software teams to investigate and resolve complex, high-priority issues across the codec pipeline.
• Evaluate emerging codec and media technologies and recommend integration strategies for future platforms.

Required Qualifications:

• Extensive experience with GPU programming (HLSL, Vulkan, CUDA) with proven skills in profiling, debugging, and optimizations across CPU and GPU.
• Familiarity with video compression standards (e.g. H.264/H.265, VP9).
• Knowledge of multi-threaded programming and debugging using C and C++
• Proficient with a wide range of development tools, including IDEs, Git/SVN, JIRA
• Proven ability to deliver features from design to validation with clean, efficient code.
• Bachelor's degree or equivalent

Nice to have:

• ML/AI modeling and training experience
• Embedded system experience with multimedia frameworks
• Knowledge of SIMD optimizations on real time systems
• Contributions to open-source projects in multimedia, systems programming, or performance engineering.

#LI-RG1