At scale, quantum computers will be integrated into classical datacenters — combining the unique strengths of CPUs, GPUs, and QPUs will help us solve the world’s hardest problems. Today, we already use IonQ quantum computers in tandem with high-performance computer (HPC) clusters in applications like quantum machine learning and image analysis. As a Senior Staff Software Engineer leading our HPC integration, you’ll help build and maintain our interfaces with SLURM and other open HPC stacks.

Responsibilities:

• Lead the design and development of our HPC software stack integrations
• Establish best practices for code development, quality assurance, documentation, and continuous integration and deployment
• Lead and participate in code reviews
• Effectively self-manage projects, priorities, deadlines, and deliverables; Identify, track and mitigate execution roadblocks and technical risks
• Mentor junior staff members; we’ll ultimately be building a team around you!
• Help minimize overhead between classical and quantum resources through efficient scheduling and parallelization

You’d be a good fit with:

• Bachelor’s degree in Computer Science, IT or equivalent practical experience -- untraditional backgrounds are welcome and encouraged!
• 13+ years experience in software engineering
• 5+ years experience of open source contributions
• 2+ years experience with Slurm or other HPC batch schedulers (LSF, PBS, GridEngine, etc.) and/or other HPC technologies
• Familiarity with containerization technologies such as Docker and container orchestration platforms like Kubernetes or Microk8s
• Familiarity with MPI or other multiprocessing schemes
• Experience with workflow orchestration tools (Argo Workflows, Kubeflow)
• Significant experience with system languages like C/C++ or Go, and advanced scripting in Python
• Established experience in Linux operating system, environment, and tools

You’d be a great fit with:

• 15+ years experience in software engineering
• 10+ years experience of making open source contributions  
• 5+ years in High Performance Compute cluster management
• 2+ years experience as an open source project maintainer with an active community
• Expert-level knowledge of Fortran and/or C
• Familiarity with quantum software stacks like MQSS or OpenQSE
• Familiarity with distributed computing frameworks like Ray or Dask
• Experience with GPU programming models such as CUDA (or even better: CUDA Quantum)
• Expert analysis skills in areas like statistical testing, modeling and general optimization
• Knowledge of one or more domains of computational physics (PDEs, n-body, large-dimension integration, stochastic systems, ...)
• Familiarity with common machine learning frameworks like PyTorch or TensorFlow
• Exposure to quantum physics and/or quantum information science

Location: This is a hybrid role based at our headquarters in College Park, MD or at our Bothell, Washington facility.
Travel: 10%
Job ID: 1135

The approximate base salary range for this position is $187,358- $245,300. The total compensation package includes base, bonus, and equity.

Senior Machine Learning Engineer - Model Evaluations, Public Sector

The Public Sector ML team at Scale deploys advanced AI systems—including LLMs, agentic models, and multimodal pipelines—into mission-critical government environments. We build evaluation frameworks that ensure these models operate reliably, safely, and effectively under real-world constraints. As an ML Engineer, you will design, implement, and scale automated evaluation pipelines that help customers trust and operationalize advanced AI systems across defense, intelligence, and federal missions.

You will:

• Develop and maintain automated evaluation pipelines for ML models across functional, performance, robustness, and safety metrics, including LLM-judge–based evaluations.
• Design test datasets and benchmarks to measure generalization, bias, explainability, and failure modes.
• Build evaluation frameworks for LLM agents, including infrastructure for scenario-based and environment-based testing.
• Conduct comparative analyses of model architectures, training procedures, and evaluation outcomes.
• Implement tools for continuous monitoring, regression testing, and quality assurance for ML systems.
• Design and execute stress tests and red-teaming workflows to uncover vulnerabilities and edge cases.
• Collaborate with operations teams and subject matter experts to produce high-quality evaluation datasets.
• Comfortable with light travel (approximately 10%) for customer interaction and team needs.

This role will require an active security clearance or the ability to obtain a security clearance.

Ideally you’d have:

• Experience in computer vision, deep learning, reinforcement learning, or NLP in production settings.
• Strong programming skills in Python; experience with TensorFlow or PyTorch.
• Background in algorithms, data structures, and object-oriented programming.
• Experience with LLM pipelines, simulation environments, or automated evaluation systems.
• Ability to convert research insights into measurable evaluation criteria.

Nice to haves:

• Graduate degree in CS, ML, or AI.
• Cloud experience (AWS, GCP) and model deployment experience.
• Experience with LLM evaluation, CV robustness, or RL validation.
• Knowledge of interpretability, adversarial robustness, or AI safety frameworks.
• Familiarity with ML evaluation frameworks and agentic model design.
• Experience in regulated, classified, or mission-critical ML domains.

ABOUT THE TEAM

The Discovery team at Anduril is at the forefront of incubating and maturing high-potential, software-defined, AI-native offerings that meet the toughest, newest challenges across hardware, software, space, and cyber domains. We're the architects of mission autonomy and mesh networking, delivering scalable hardware solutions that meet some of the most urgent national security needs. By working hand-in-hand with elite teams in Perception, AI, Motion Planning, Hardware, Test Engineering, Space, Networking, and Vehicle hardware, we craft cutting-edge, end-to-end systems that redefine mission success.

ABOUT THE JOB

Anduril’s Discovery business line is seeking a talented Technical Program Manager to join our rapidly growing team. In this role, you will be responsible for shaping and delivering features and services critical to the next generation of air and missile defense systems. This role requires a unique blend of technical expertise, program management experience, customer focus and an understanding of the defense sector and military systems. You will work closely with engineering, product, business, and government stakeholders to deliver innovative solutions that meet the needs of our customers and partners.

WHAT YOU'LL DO

• Program Management: Align program roadmaps, manage timelines, and allocate resources to ensure successful delivery and production-quality. Balance competing priorities across multiple products and programs in a fast-paced, startup environment.
• Cross-functional Collaboration: Serve as the primary liaison between engineering teams, product management, and external stakeholders—including defense contractors and government entities. Align cross-functional teams on their goals, dependencies, and deliverables. Drive effective communication and collaboration across distributed teams and locations.
• Technical Expertise: Understand the architecture, dependencies, and technical challenges of defense-related systems. Support engineering teams in resolving technical issues, making trade-offs to meet division objectives.
• Risk Management: Identify and mitigate risks proactively, including technical, schedule, and compliance-related risks. Monitor dependencies, anticipate bottlenecks, and adjust plans as needed to maintain program momentum.
• Stakeholder Management: Manage relationships with key customers, partners, and government agencies, ensuring program alignment with contractual obligations and stakeholder expectations. Prepare and deliver clear program updates, technical briefs, and performance reports for internal and external audiences.
• Process Improvement: Implement and refine processes to enhance program execution and efficiency within a startup environment. Leverage best practices in program management while adapting to the unique challenges of the defense sector. Cultivate knowledge management repositories and CI/CD pipelines to build processes that result in production-quality engineering deliverables.

REQUIRED QUALIFICATIONS

• Minimum 5 years of experience as a Technical Program Manager, Product Manager, Engineering Manager, or Engineer for a commercial technology, aerospace, or defense company
• Strong technical background with familiarity in systems engineering, software development, and networking
• Proven client-facing technical program management and/or systems engineering experience
• Experience  developing and driving engineering plans through Jira and other industry-standard tooling
• Demonstrated ability to translate complex technical issues into business-impact insights
• Ability to work within organizations with minimal structure and with minimal direction 
• Proven track record in designing and implementing best practices that drive operational efficiency and sustainable growth
• Exceptional organizational and communication skills
• Willingness to travel as needed (up to 25%, depending on location)
• Currently possesses and is able to maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Experience building tracking solutions in Palantir Foundry 
• Professional or relevant person experience integrating AI into personal or team workflows
• Experience guiding the delivery and operation of distributed systems, CI/CD pipelines, APIs, middleware, 3rd-party software developer experience initiatives, and/or modular system architectures
• Experience managing Test and Evaluation or continuous Quality Assurance of complex software programs
• Strong technical, analytical and quantitative skills with the ability to use data and metrics to back up assumptions, recommendations and drive decisions
• Bachelor’s Degree in Computer Science or an Engineering discipline

What We're Looking For

Lightning AI is seeking a Senior Storage Infrastructure Engineer to join our Infrastructure Engineering team.

In this role, you will focus on building and operating the storage systems that power large-scale AI/ML training, inference, and HPC workloads. You will work at the intersection of software, hardware, and operations—developing automation, improving reliability, and scaling distributed storage systems across our bare-metal infrastructure.

You will help own the data plane of our storage infrastructure, supporting high-throughput, low-latency data access for some of the most demanding AI workloads. You’ll play a key role in managing and evolving our storage stack (including VAST and S3-compatible systems like Ceph), ensuring performance, reliability, and efficiency at scale.

We’re flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.

What You'll Do

Storage Systems & Infrastructure

• Operate and scale distributed storage systems, including VAST and S3-compatible object storage (e.g., Ceph)
• Improve performance, reliability, and efficiency of storage systems supporting large-scale AI/ML workloads
• Troubleshoot complex storage and data path issues across hardware and software layers
• Optimize storage performance to support high-throughput, low-latency AI training and inference workloads

Automation & Tooling

• Build and maintain automation for provisioning, managing, and monitoring storage infrastructure
• Develop Python-based tools and workflows to reduce manual operational overhead
• Improve lifecycle management of storage clusters, from deployment through maintenance and scaling

Systems & Operations

• Manage and operate Linux-based systems in production, including bare-metal environments
• Partner with infrastructure and data center teams on hardware bring-up, upgrades, and issue resolution
• Support capacity planning, utilization tracking, and forecasting for storage systems
• Leverage monitoring and telemetry to diagnose issues and improve system performance and reliability

Cross-Functional Collaboration

• Work closely with Infrastructure Engineering, Network Engineering, and Platform teams to integrate storage into the broader platform
• Contribute to design discussions around new infrastructure deployments and scaling strategies
• Help define best practices for operating storage systems in high-performance computing environments

What You'll Need

Required Qualifications

• 5+ years of experience in infrastructure engineering, systems engineering, or related roles
• Hands-on experience operating distributed storage systems (e.g., VAST, Ceph, or similar)
• Strong Linux systems experience in production environments
• Proficiency in Python or similar scripting/programming languages for automation
• Experience working with bare-metal infrastructure and hardware-oriented systems
• Ability to debug complex issues across system boundaries (storage, OS, hardware, networking)
• Experience with storage networking protocols (e.g., NFS or similar)
• Experience with capacity planning, monitoring, and performance tuning

Ideal Experience

• Experience with VAST storage systems in production environments
• Experience operating S3-compatible object storage at scale
• Data center operations experience, including working with physical hardware
• Familiarity with AI/ML or HPC workloads and their storage requirements
• Background in high-performance or low-latency distributed systems
• Familiarity with high-performance data transfer technologies (e.g., RDMA, GPU Direct Storage)
• Experience supporting GPU-based workloads or large-scale compute clusters

Compensation

What We’re Looking For

Lightning AI is seeking an Observability Infrastructure Engineer to join our Infrastructure Engineering team.

In this role, you will own and evolve observability systems across large-scale, GPU-enabled bare-metal infrastructure. You’ll operate at the intersection of infrastructure, data, and product, building platforms for metrics, logs, traces, and alerting that power both internal operations and customer-facing visibility.

You will play a key role in productizing observability, enabling scalable, multi-tenant monitoring experiences while keeping pace with rapid infrastructure buildouts. This includes designing telemetry pipelines, improving signal quality, and delivering actionable insights that ensure reliability and transparency across our platform.

We’re flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

Observability Platform & Productization

• Own and evolve a scalable observability platform spanning metrics, logs, traces, and events
• Drive the productization of observability capabilities for both internal teams and external customers
• Design multi-tenant observability systems with scoped access, RBAC, and customer-facing visibility
• Continuously improve observability systems to keep pace with rapid infrastructure buildouts

Telemetry & Data Pipelines

• Design and operate telemetry pipelines ingesting data from GPUs, CPUs, networking (Ethernet & InfiniBand), containers, APIs, and BMC/Redfish
• Build systems to correlate signals across infrastructure layers to enable faster debugging and root cause analysis
• Implement streaming and real-time data pipelines using tools such as Kafka, OTEL, Promtail, or similar

Alerting, Reliability & Insights

• Design and implement noise-resistant alerting systems to improve signal quality and reduce operational load
• Create dashboards and alerting for InfraOps, Engineering, and Customer Success teams
• Build automated insights and enable proactive detection, forecasting, and system health visibility at scale

Systems & Infrastructure Engineering

• Contribute to broader infrastructure engineering projects beyond observability
• Partner with infrastructure and platform teams to embed observability into core systems and workflows
• Support large-scale, distributed systems across compute, networking, and storage environments

Cross-Functional Collaboration

• Work closely with customer-facing teams to deliver external observability experiences
• Collaborate with engineering, operations, and support teams to improve system transparency and reliability
• Help define best practices for observability across the organization

What You’ll Need

Required Qualifications

• 5+ years of experience in infrastructure engineering, SRE, or observability-focused roles
• Strong experience with monitoring systems such as Prometheus, Grafana, ELK, or VictoriaMetrics
• Experience building and operating observability platforms at scale
• Proficiency in Python, Go, or bash for automation and data integration
• Familiarity with containerized environments and Kubernetes observability
• Experience with streaming telemetry pipelines (Kafka, OTEL, Promtail, or equivalent)
• Experience with multi-tenant monitoring architectures
• Strong written and verbal communication skills

Ideal Experience

• Experience with GPU observability, particularly NVIDIA DCGM
• Experience monitoring large-scale GPU or HPC clusters
• Familiarity with InfiniBand fabric observability
• Experience building customer-facing or productized infrastructure systems
• Experience with correlation engines, RCA workflows, or predictive alerting systems
• Broad exposure to infrastructure domains including networking, storage, and provisioning

Compensation

What We're Looking For

Lightning AI is seeking a GPU & Compute Infrastructure Engineer to join our Infrastructure Engineering team.

In this role, you will own image management, system diagnostics, and validation across large-scale bare-metal compute infrastructure, with a particular focus on GPU-enabled systems. You will work at the intersection of hardware, systems, and software—developing automation, improving reliability, and enabling efficient cluster bring-up for AI/ML and HPC workloads.

You will play a key role in owning and evolving our image pipeline, running validation environments and test clusters, and supporting both system-level and GPU hardware qualification. This role is critical to ensuring that our infrastructure is consistent, performant, and ready to support demanding AI workloads from day one.

We’re flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.

What You'll Do

Systems, Image & Validation Infrastructure

• Own and evolve systems for image management, deployment, and validation across bare-metal infrastructure
• Run and maintain test clusters used for system validation, diagnostics, and bring-up
• Validate firmware, drivers, and OS images across compute and GPU-enabled systems
• Support hardware qualification efforts for next-generation platforms

GPU Diagnostics & Performance

• Own GPU diagnostics and validation workflows across large-scale infrastructure
• Diagnose and resolve complex issues across GPUs, drivers, OS, and hardware layers
• Analyze system and GPU performance using tools such as NVIDIA DCGM
• Identify failure patterns and drive improvements in system stability and validation coverage

Automation & Tooling

• Build and maintain automation for provisioning, validation, and system bring-up
• Develop Python-based tools and workflows to improve efficiency and reduce manual operational overhead
• Improve the reliability, repeatability, and scalability of image pipelines and validation systems

Systems & Operations

• Manage and operate Linux-based systems in production and validation environments
• Manage virtualization technology
• Support bare-metal provisioning workflows, including PXE and image-based systems
• Interface with hardware management systems (e.g., IPMI, Redfish) for monitoring and debugging

Cross-Functional Collaboration

• Partner with Infrastructure, Hardware, and Data Center teams on system bring-up and validation
• Collaborate with platform and ML teams to ensure systems meet workload requirements
• Contribute to best practices for provisioning, diagnostics, and lifecycle management of infrastructure

What You'll Need

Required Qualifications

• 5+ years of experience in infrastructure engineering, systems engineering, or related roles
• Strong Linux systems experience in production environments
• Hands-on experience with GPU-enabled systems and tools such as NVIDIA DCGM
• Familiarity with bare-metal provisioning and system bring-up workflows
• Proficiency in Python or similar scripting/programming languages for automation
• Ability to debug complex issues across hardware, OS, GPUs, and system software

Ideal Experience

• Experience with high-performance interconnects (e.g., InfiniBand, NVLink)
• Experience with PXE boot environments, LiveCD systems, or image-based provisioning workflows
• Experience with hardware management interfaces such as iDRAC, IPMI, or Redfish
• Data center operations experience, including working with physical hardware
• Experience supporting AI/ML or HPC workloads at scale
• Experience with GPU validation frameworks or large-scale hardware qualification processes

Compensation

What We're Looking For

We’re looking for a Fullstack Engineer to help develop and scale the Lightning AI platform across the frontend, CLI, APIs, and core backend systems. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. This is an opportunity to build systems that support real-world machine learning workloads at scale.

This role is based in one of our hubs (NYC, SF, Seattle, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

• Write readable/testable/efficient code in React and either Python or Go (Golang).
• Build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.
• Partner with engineering and product leaders on developing the Lightning product while using your experience to set the technical direction for large projects.
• Evaluate, strengthen, and document technical architecture, tools, and processes.
• Maintain high standards for software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
• Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment where each engineer can grow.

What You’ll Need

• Proficiency in React and either Go (Golang) or Python, with a preference for Go
• Strong understanding of software engineering principles and lifecycle
• Hands-on experience as a Fullstack Engineer in a SaaS technology company
• Proven ability to take ownership of key features and drive end-to-end development
• Communication and collaboration with engineers, product managers, and designers
• Ability to operate in high uncertainty and rapidly changing environments

Compensation

What We're Looking For

We’re looking for a Frontend Engineer to help develop and scale the UI and frontend infrastructure of the Lightning AI platform. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. With over 10,000 organizations building with Lightning, you’ll have a unique opportunity to impact how the world builds and deploys AI to production.

This role is based in one of our hubs (Seattle, NYC, SF, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

• Write readable/testable/efficient code in React and Redux, and build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.
• Partner with engineering and product leaders on developing the user interface and frontend infrastructure while using your experience to set the technical direction for large projects.
• Evaluate, strengthen, and document technical architecture, tools, and processes.
• Maintain high standards for software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
• Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment in which each engineer can grow.

What You’ll Need

• Proficiency in React, JavaScript and TypeScript.
• Strong understanding of software engineering principles and lifecycle.
• Hands-on experience as a Frontend Engineer in a SaaS technology company.
• Proven ability to take ownership of key features and drive end-to-end development.
• Communication and collaboration with engineers, product managers, and designers.
• Ability to operate in high uncertainty and rapidly changing environments.

Compensation

What We're Looking For

We’re looking for a Backend Engineer to help develop and scale the Lightning AI platform, spanning APIs, infrastructure, billing, security, and integrations. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. This is an opportunity to build systems that support real-world machine learning workloads at scale.

This role is based in one of our hubs (Seattle, NYC, SF, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

• Write readable/testable/efficient code in Go (Golang).
• Build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.
• Partner with engineering and product leaders on developing the Lightning product while using your experience to set the technical direction for large projects.
• Evaluate, strengthen, and document technical architecture, tools, and processes.
• Maintain software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
• Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment where each engineer can grow.

What You’ll Need

• Extensive experience writing efficient, maintainable code in Go. Familiarity with best practices in testing, readability, and optimization is essential.
• Broad knowledge of backend and frontend systems, with experience building and scaling APIs, CLI tools, billing systems, and security protocols. Exposure to frontend frameworks is a plus.
• Experience with cloud platforms like AWS, GCP, or Azure and designing systems that are reliable, performant, and scalable. Familiarity with containerization (Docker, Kubernetes) is a strong advantage.
• Proven ability to take ownership of key features and drive end-to-end development
• Commitment to software quality, test automation, and continuous delivery. Experience proactively managing technical debt and speeding up time to production.
• Hands-on experience as a backend or product engineer in a SaaS technology company
• Communication and collaboration with engineers, product managers, and designers
• Ability to operate in high uncertainty and rapidly changing environments

Compensation

Do you want to be a part of the clean energy movement? Are you passionate about improving our environment for this generation and those to follow? Are you ready to take on new challenges and collaborate with a future-focused team leading the way into new markets? Join Nexamp! 

This is where you can learn from industry leaders and become one yourself. It's fast-paced, mission-based work that challenges the status quo. Be on the team that's changing the world.

What we're looking for:

Join Nexamp's mission to transform the energy landscape with your expertise as a Senior Interconnection Engineer. We are at the forefront of the renewable energy revolution, driving change and innovation in the renewable energy sector. If you're passionate about crafting a sustainable future and have a track record in the technical intricacies of interconnection, we want you on our team.  

We are seeking a detail-oriented Senior Interconnection Engineer with a robust technical background and proven experience in PV system design and interconnection. This role is vital for providing specialized support to project managers and ensuring that our projects are not only technically sound but also optimized for cost and efficiency. 

You will report to the Manager, Grid Integration Engineering (GRIT), and will work closely with internal teams, including Engineering, Business Development, Policy, and Asset Management, to develop and commission commercial and industrial renewable designs. You will be hybrid out of our New York City, Chicago, Boston, or Washington, DC office with some business travel to other locations.

What you'll do:

• Manage a portfolio of utility interconnection applications from initial submission through project closeout. 
• Function as a Subject Matter Expert (SME) on technical standards (i.e. IEEE 1547, NFPA 70, UL 1741, etc.) and requirements (utility) for Distributed Generation projects within an assigned geographic region.  
• Perform detailed review, analysis, QA/QC, and interpretation of technical documentation, utility interconnection applications, utility pre-screen reports, System Impact Studies, and Interconnection Service Agreements. 
• Provide expert technical advice during study reviews and deliver recommendations to internal teams on study outcomes. 
• Prepare interconnection cost estimation and hosting capacity map analyses to assist development in identifying low-cost interconnection locations. 
• Work alongside Project Managers on value engineering and cost optimization for projects. 
• Act as technical consulting support during negotiations and disputes regarding project timelines and costs for assigned projects. 
• Participate in the technical closure of projects, including field support along with reviewing witness tests and energization procedures. May also attend site visits and witness tests as required. The number of projects actively supported at a given time should be 70-80.  
• Lead and contribute to special projects aimed at refining internal processes and setting industry standards, with a focus on innovation in interconnection means and methods.  This may include (but not limited to) non-wires alternatives, selective curtailment, and other grid-enhancing technologies. 
• Building and managing key relationships with internal stakeholders, and driving strategic developments and insights  
• Leading comprehensive technical assessments to identify interconnection challenges in a given region and creating solutions to overcome technical hurdles (to improve project success). 
• Support technical working groups both internally and externally. 
• Participate in project design reviews; review of single line diagrams, three-line diagrams, and site layout designs for compliance with utility requirements, which may include incorporating any utility design requirements and/or effective grounding equipment. 
• Respond to RFIs on active construction projects as required. 
• Provide guidance and recommendations for navigating change with utilities. 
• Mentor Interconnection Engineers, sharing expertise and leading by example in all aspects of interconnection processes. 
• Support business development through pre-application activities such as site selection based on thorough analysis.
• Additional duties as assigned and/or directed. 

What you'll bring:

• 3+ years of relevant experience with a utility, solar developer, Regional Transmission Organization, or consultancy, focusing on technical aspects of interconnection or interconnection-related activities and issues. 
• Strong knowledge of industry standard design codes such as National Electric Code, International Building Code, International Fire Code and other standards relevant to the industry. 
• Bachelor’s Degree in Mechanical or Electrical Engineering. 
• Working knowledge in AutoCAD software.
• Moderate proficiency with Microsoft Word, Excel, and PowerPoint.
• Moderate proficiency with Microsoft collaboration tools (Salesforce, Teams, Power BI, SharePoint, etc.) 
• Ability to coordinate and prioritize multiple projects and tasks. 
• Ability to work in a team environment as well as work independently. 
• Valid Drivers License and EIT Certification.
• Commitment to Nexamp's mission and have a passion for solving tomorrow's climate crisis today.
• Demonstrated experience in effectively communicating information, ideas, and perspectives with people inside and beyond your organization.  
• Experience in showcasing initiative to make improvements to current work, processes, products, and services across the organization. We value accountability and an ownership mentality.
• Ability to ask appropriate questions, analyze data, identify the root causes of problems, and present creative solutions.
• Expertise in building strong internal and external relationships with customers and stakeholders, instilling trust and loyalty across the industry.
• Eagerness to develop a fundamental understanding of how Nexamp operates and then apply that knowledge effectively to inform business decisions.  

If you don’t meet 100% of the above qualifications, but see yourself contributing, please submit an application.  We encourage people from minority or marginalized groups to apply. 

At Nexamp, our mission is building the future of energy, so it is clean, simple, and accessible for all. We believe a diverse team brings different perspectives and experiences, thus benefiting our work. We are committed to providing a work environment free from discrimination. We are proud to be an equal opportunity employer. We do not discriminate against applicants on the basis of race, ethnicity, religion, sex, gender, sexual orientation, gender identity, disability status, veteran status, or any other basis protected by law. By encouraging a culture where ideas and decisions come from all people, we believe it will help us grow, innovate, and be a part of environmental and social change. 

You’ll love working here because:  

Not only will you get to take part in meaningful work and have the chance to change the world alongside innovative, dedicated, and motivated peers, but you will also have access to all the benefits that Nexamp offers! This includes our competitive compensation package; a 401(k) employer-match; health, dental, and vision insurance starting day one; flexible paid time off and holiday PTO; commuter benefits, and cell phone reimbursement. We have headquarters in Boston, MA and Chicago, IL, in addition to growing offices nationwide. We provide healthy snacks, coffee, service days, and other volunteer opportunities, company outings, and more!

Compensation:  

The reasonably estimated salary for this role at Nexamp ranges from $120,000 - $135,000. In addition to base salary, the competitive compensation package may include, depending on the role, participation in an incentive program linked to performance (for example, annual bonus programs based on individual and company performance, non-annual sales incentive plans, or other non-annual incentive plans). Additionally, you may be eligible to participate in the Company’s stock option plan. Actual base salary may vary based upon, but is not limited to, skills and qualifications, internal equity, performance, and geographic location.

Nexamp's People team manages all aspects of recruitment and hiring within our organization. We want to inform third-party recruiters, staffing firms, and related agencies that Nexamp does not accept unsolicited resumes. Resumes will only be considered from these entities if a signed agreement is in place and the People team explicitly authorizes external recruiting assistance for a specific position. Any unsolicited resumes received will be deemed the property of Nexamp. We want to emphasize that Nexamp is not liable for any fees associated with unsolicited resumes.

Overview

At Esri, we make the world’s most powerful software that accelerates decision-making by unlocking the crucial context of location. Our customers tackle complex issues like sustainable development, supply chain management, public health, and community resilience. We create technology to support their efforts and shape our future; our customers inspire everything we do.

ArcGIS Hub is quickly expanding the ability to bring people together to discuss and collaborate spatially around ArcGIS’s catalog of authoritative data. In this role you will focus on working directly with product and software engineers to ensure functionality meets our high standards of release readiness.

Responsibilities

• Partner with product and software engineers to clarify acceptance criteria and translate them into maintainable manual and automated test coverage
• Perform risk-based testing of functionality, including validation of accessibility, internationalization/localization, security, and privacy requirements
• Perform structured exploratory and scenario-based testing across key user workflows to uncover usability, edge cases, and integration issues
• Validate and triage defect reports in collaboration with Esri Support Services, review with development team for resolution
• Communicate quality status, risks, and recommendations via dashboards, written summaries, and verbal updates to support informed release decisions
• Review automated test coverage and results to assess effectiveness, surface gaps, and recommend areas for improvements
• Lead risk assessment for assigned features, evaluating functional, technical, and user-facing risks to inform test focus and release readiness decisions

Requirements

• 2+ years of QA experience testing modern web applications in an Agile environment
• Experience with web UI test automation tooling such as Playwright
• Experience testing REST APIs and validating integrations (JSON/HTTP)
• Familiarity with JavaScript/TypeScript to read and reason about automated test cases to better understand coverage and recommend areas of improvement
• Intermediate understanding of web fundamentals (HTML/CSS, components, APIs) and UI/UX principles
• Intermediate understanding of accessibility (WCAG) and internationalization/localization (i18n/l10n) practices
• Proven problem-solving skills to isolate issues, document clearly, and collaborate effectively to resolve product deficiencies
• Bachelor’s degree in Computer Science, GIS, Information Science, or another related technical

Recommended Qualifications

• QA experience testing modern web applications in an Agile environment Experience supporting enterprise-scale or other developer-focused products
• Experience working closely with product to assess delivery risk and release impact
• Familiarity with interpreting automated test results, monitoring dashboards, or other quality signals to assess system health

#LI-DV2

#LI-Onsite

Overview

At Esri, we make the world’s most powerful software that accelerates decision-making by unlocking the crucial context of location. Our customers tackle complex issues like sustainable development, supply chain management, public health, and community resilience. We create technology to support their efforts and shape our future; our customers inspire everything we do.

ArcGIS Hub is quickly expanding the ability to bring people together to discuss and collaborate spatially around ArcGIS’s catalog of authoritative data. In this role you will focus on working directly with product and software engineers to ensure functionality meets our high standards of release readiness.

Responsibilities

• Partner with product and software engineers to clarify acceptance criteria and translate them into maintainable manual and automated test coverage
• Perform risk-based testing of functionality, including validation of accessibility, internationalization/localization, security, and privacy requirements
• Perform structured exploratory and scenario-based testing across key user workflows to uncover usability, edge cases, and integration issues
• Validate and triage defect reports in collaboration with Esri Support Services, review with development team for resolution
• Communicate quality status, risks, and recommendations via dashboards, written summaries, and verbal updates to support informed release decisions
• Review automated test coverage and results to assess effectiveness, surface gaps, and recommend areas for improvements
• Lead risk assessment for assigned features, evaluating functional, technical, and user-facing risks to inform test focus and release readiness decisions

Requirements

• 2+ years of QA experience testing modern web applications in an Agile environment
• Experience with web UI test automation tooling such as Playwright
• Experience testing REST APIs and validating integrations (JSON/HTTP)
• Familiarity with JavaScript/TypeScript to read and reason about automated test cases to better understand coverage and recommend areas of improvement
• Intermediate understanding of web fundamentals (HTML/CSS, components, APIs) and UI/UX principles
• Intermediate understanding of accessibility (WCAG) and internationalization/localization (i18n/l10n) practices
• Proven problem-solving skills to isolate issues, document clearly, and collaborate effectively to resolve product deficiencies
• Bachelor’s degree in Computer Science, GIS, Information Science, or another related technical

Recommended Qualifications

• QA experience testing modern web applications in an Agile environment Experience supporting enterprise-scale or other developer-focused products
• Experience working closely with product to assess delivery risk and release impact
• Familiarity with interpreting automated test results, monitoring dashboards, or other quality signals to assess system health

#LI-DV2

#LI-Onsite

Overview

At Esri, we make the world’s most powerful software that accelerates decision-making by unlocking the crucial context of location. Our customers tackle complex issues like sustainable development, supply chain management, public health, and community resilience. We create technology to support their efforts and shape our future; our customers inspire everything we do.

ArcGIS Hub is quickly expanding the ability to bring people together to discuss and collaborate spatially around ArcGIS’s catalog of authoritative data. In this role you will focus on working directly with product and software engineers to ensure functionality meets our high standards of release readiness.

Responsibilities

• Partner with product and software engineers to clarify acceptance criteria and translate them into maintainable manual and automated test coverage
• Perform risk-based testing of functionality, including validation of accessibility, internationalization/localization, security, and privacy requirements
• Perform structured exploratory and scenario-based testing across key user workflows to uncover usability, edge cases, and integration issues
• Validate and triage defect reports in collaboration with Esri Support Services, review with development team for resolution
• Communicate quality status, risks, and recommendations via dashboards, written summaries, and verbal updates to support informed release decisions
• Review automated test coverage and results to assess effectiveness, surface gaps, and recommend areas for improvements
• Lead risk assessment for assigned features, evaluating functional, technical, and user-facing risks to inform test focus and release readiness decisions

Requirements

• 2+ years of QA experience testing modern web applications in an Agile environment
• Experience with web UI test automation tooling such as Playwright
• Experience testing REST APIs and validating integrations (JSON/HTTP)
• Familiarity with JavaScript/TypeScript to read and reason about automated test cases to better understand coverage and recommend areas of improvement
• Intermediate understanding of web fundamentals (HTML/CSS, components, APIs) and UI/UX principles
• Intermediate understanding of accessibility (WCAG) and internationalization/localization (i18n/l10n) practices
• Proven problem-solving skills to isolate issues, document clearly, and collaborate effectively to resolve product deficiencies
• Bachelor’s degree in Computer Science, GIS, Information Science, or another related technical

Recommended Qualifications

• QA experience testing modern web applications in an Agile environment Experience supporting enterprise-scale or other developer-focused products
• Experience working closely with product to assess delivery risk and release impact
• Familiarity with interpreting automated test results, monitoring dashboards, or other quality signals to assess system health

#LI-DV2

#LI-Remote

Overview

At Esri, we make the world’s most powerful software that accelerates decision-making by unlocking the crucial context of location. Our customers tackle complex issues like sustainable development, supply chain management, public health, and community resilience. We create technology to support their efforts and shape our future; our customers inspire everything we do.

ArcGIS Hub is quickly expanding the ability to bring people together to discuss and collaborate spatially around ArcGIS’s catalog of authoritative data. In this role you will focus on working directly with product and software engineers to ensure functionality meets our high standards of release readiness.

Responsibilities

• Partner with product and software engineers to clarify acceptance criteria and translate them into maintainable manual and automated test coverage
• Perform risk-based testing of functionality, including validation of accessibility, internationalization/localization, security, and privacy requirements
• Perform structured exploratory and scenario-based testing across key user workflows to uncover usability, edge cases, and integration issues
• Validate and triage defect reports in collaboration with Esri Support Services, review with development team for resolution
• Communicate quality status, risks, and recommendations via dashboards, written summaries, and verbal updates to support informed release decisions
• Review automated test coverage and results to assess effectiveness, surface gaps, and recommend areas for improvements
• Lead risk assessment for assigned features, evaluating functional, technical, and user-facing risks to inform test focus and release readiness decisions

Requirements

• 2+ years of QA experience testing modern web applications in an Agile environment
• Experience with web UI test automation tooling such as Playwright
• Experience testing REST APIs and validating integrations (JSON/HTTP)
• Familiarity with JavaScript/TypeScript to read and reason about automated test cases to better understand coverage and recommend areas of improvement
• Intermediate understanding of web fundamentals (HTML/CSS, components, APIs) and UI/UX principles
• Intermediate understanding of accessibility (WCAG) and internationalization/localization (i18n/l10n) practices
• Proven problem-solving skills to isolate issues, document clearly, and collaborate effectively to resolve product deficiencies
• Bachelor’s degree in Computer Science, GIS, Information Science, or another related technical

Recommended Qualifications

• QA experience testing modern web applications in an Agile environment Experience supporting enterprise-scale or other developer-focused products
• Experience working closely with product to assess delivery risk and release impact
• Familiarity with interpreting automated test results, monitoring dashboards, or other quality signals to assess system health

#LI-DV2

#LI-Onsite

You are: 

The musical conductor to our automation testing efforts. Your symphony? The project. Your audience? Our clients. “Testing 1-2-3” Your mic check responsibilities include applying business requirements, Testing knowledge and technical expertise in the implementation of test automation suites to validate software application functionality. You love performing hands on design, coding, enhancing, and testing of software applications in order to meet business process requirements.  Critics and audiences are wowed by how you apply your Testing knowledge and technical expertise in the automation and quality engineering efforts of every delivery. And of course, an in-depth understanding of testing, including theory and concepts are music to your ears.

The work:

• Analyze and identify suitable opportunities for test automation.
• Develop automation components/modules using appropriate tools and programming languages.
• Carry out test automation script/cases, identify/log issues, and provide support during issue resolution process.
• Visualize, design, development, and maintenance of automation frameworks and their implementation.
• Support test automation solution planning and estimation.
• Integrate test automation with Continuous Integration / Continuous Delivery.

Here's what you need:

• Professional work experience with automated testing tools (Worksoft Certify, HP UFT/BPT, Tricentis Tosca, or Selenium framework)
• Experience with the software development life cycle and automated testing
• Experience with API testing
• Experience in designing / developing a test automation framework
• Hands on experience with Quality Assurance/Testing (application, product, system, regression testing)
• Experience with a programming language (VB, VBScript, Java, C#, Ruby, Python)

Bonus points if you have:

• Bachelor's in Computer Science, Engineering or Technical Science
• Previous consulting experience and understanding customer/business needs
• 508 compliance experience
• Experience developing test automation scripts in Selenium and/or Cucumber
• Experience conducting automation tools analysis, selection, and recommendation
• Experience supporting test automation assessments for multiple projects
• Experience mobilizing and managing test automation projects (tools, resources, & processes)
• Experience developing automation frameworks that are leveraged across multiple resources

Eligibility Requirements:

US Citizenship required

About the Team

As a Senior+ Agentic Analytics Engineer at Opendoor, you will join the Data organization and help build something that doesn't exist at most companies: an Agentic Analytics team. This is a high-impact IC role at the intersection of data science, data engineering, and AI.

Opendoor has adopted a "Default to AI" philosophy—if AI can handle it, AI should handle it. We're not theorizing about AI transformation; we're shipping it.

Why This Role

Most analytics teams are stuck in reactive mode—fielding ad-hoc requests and building dashboards that go stale. We're building something different: AI systems that proactively tell leaders what they should focus on, why it matters, and what to do about it.

If you want to define what analytics looks like in an AI-first company, this is it.

What You'll Do

Build Proactive Intelligence Systems

• Design and deploy AI agents that monitor business performance and surface actionable insights without being asked

• Architect systems that shift analytics from "answering questions" to "anticipating needs"

• Create intelligent alerting that distinguishes signal from noise and recommends specific actions

Create AI-Powered Analytics Tools

• Develop natural language interfaces that let business leaders query data conversationally

• Build semantic layers that translate business concepts into data structures optimized for LLM reasoning

• Ship internal tools that transform how Opendoor makes decisions at every level

Own the Analytics-to-Action Pipeline

• Design data models that support automated analysis, pattern detection, and AI agent interactions

• Build workflows that connect insight generation to recommended actions

• Establish feedback loops that make our AI systems smarter over time

Drive Leverage Across the Business

• Identify high-value opportunities where AI can augment human decision-making

• Implement end-to-end solutions using Claude, custom agents, and modern AI tooling

• Measure impact rigorously—we care about decisions influenced, not dashboards built

We're Looking for Teammates Who Have

Technical Foundation

• 5+ years of experience in analytics, data science, or data engineering, with increasing scope and ownership

• Expert-level SQL with demonstrated ability to design complex data models and optimize for both human and AI consumption

• Strong Python proficiency for data engineering, automation, and AI agent development

• Experience with modern data warehouses (Snowflake, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.)

AI & Automation Expertise

• Hands-on experience building and deploying AI agents or LLM-powered applications in production

• Deep understanding of LLM capabilities, limitations, and prompt engineering best practices

• Experience architecting semantic layers or natural language interfaces for data access

• Proven ability to identify high-ROI automation opportunities and ship end-to-end solutions

Analytics & Business Acumen

• Track record of driving measurable business impact through analytics—not just producing analyses, but influencing decisions

• Strong analytical intuition—you know what questions matter before they're asked

• Experience translating ambiguous, cross-functional business problems into technical solutions

• History of operating autonomously and setting direction, not just executing on defined projects

Leadership & Influence

• Experience mentoring other analysts or engineers, formally or informally

• Demonstrated ability to influence senior stakeholders and drive alignment across teams

• Comfort operating in ambiguity and shaping strategy, not just responding to it

• Track record of building systems and processes that scale beyond yourself

Builder Mindset

• You ship products, not just dashboards 

• You'd rather build something useful in a week than something perfect in a quarter

• You measure success by business impact, not technical complexity

• You're energized by creating leverage—building once so others benefit forever

Bonus Points If You Have

• Experience in real estate, fintech, or marketplace businesses

• Background in marketing analytics, sales operations, product analytics, or pricing/economics

• History of building tools or platforms that replaced recurring analyst work

• Experience leading technical projects or small teams

About the Team

As a Senior+ Agentic Analytics Engineer at Opendoor, you will join the Data organization and help build something that doesn't exist at most companies: an Agentic Analytics team. This is a high-impact IC role at the intersection of data science, data engineering, and AI.

Opendoor has adopted a "Default to AI" philosophy—if AI can handle it, AI should handle it. We're not theorizing about AI transformation; we're shipping it.

Why This Role

Most analytics teams are stuck in reactive mode—fielding ad-hoc requests and building dashboards that go stale. We're building something different: AI systems that proactively tell leaders what they should focus on, why it matters, and what to do about it.

If you want to define what analytics looks like in an AI-first company, this is it.

What You'll Do

Build Proactive Intelligence Systems

• Design and deploy AI agents that monitor business performance and surface actionable insights without being asked

• Architect systems that shift analytics from "answering questions" to "anticipating needs"

• Create intelligent alerting that distinguishes signal from noise and recommends specific actions

Create AI-Powered Analytics Tools

• Develop natural language interfaces that let business leaders query data conversationally

• Build semantic layers that translate business concepts into data structures optimized for LLM reasoning

• Ship internal tools that transform how Opendoor makes decisions at every level

Own the Analytics-to-Action Pipeline

• Design data models that support automated analysis, pattern detection, and AI agent interactions

• Build workflows that connect insight generation to recommended actions

• Establish feedback loops that make our AI systems smarter over time

Drive Leverage Across the Business

• Identify high-value opportunities where AI can augment human decision-making

• Implement end-to-end solutions using Claude, custom agents, and modern AI tooling

• Measure impact rigorously—we care about decisions influenced, not dashboards built

We're Looking for Teammates Who Have

Technical Foundation

• 5+ years of experience in analytics, data science, or data engineering, with increasing scope and ownership

• Expert-level SQL with demonstrated ability to design complex data models and optimize for both human and AI consumption

• Strong Python proficiency for data engineering, automation, and AI agent development

• Experience with modern data warehouses (Snowflake, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.)

AI & Automation Expertise

• Hands-on experience building and deploying AI agents or LLM-powered applications in production

• Deep understanding of LLM capabilities, limitations, and prompt engineering best practices

• Experience architecting semantic layers or natural language interfaces for data access

• Proven ability to identify high-ROI automation opportunities and ship end-to-end solutions

Analytics & Business Acumen

• Track record of driving measurable business impact through analytics—not just producing analyses, but influencing decisions

• Strong analytical intuition—you know what questions matter before they're asked

• Experience translating ambiguous, cross-functional business problems into technical solutions

• History of operating autonomously and setting direction, not just executing on defined projects

Leadership & Influence

• Experience mentoring other analysts or engineers, formally or informally

• Demonstrated ability to influence senior stakeholders and drive alignment across teams

• Comfort operating in ambiguity and shaping strategy, not just responding to it

• Track record of building systems and processes that scale beyond yourself

Builder Mindset

• You ship products, not just dashboards 

• You'd rather build something useful in a week than something perfect in a quarter

• You measure success by business impact, not technical complexity

• You're energized by creating leverage—building once so others benefit forever

Bonus Points If You Have

• Experience in real estate, fintech, or marketplace businesses

• Background in marketing analytics, sales operations, product analytics, or pricing/economics

• History of building tools or platforms that replaced recurring analyst work

• Experience leading technical projects or small teams

ABOUT THE TEAM

The Connected Warfare Division is integrating advanced computing, AI-driven decision-making, and warfighter-centric technology into a single, cohesive ecosystem to revolutionize modern combat. We create joint, time-sensitive, multi-domain, connected mesh systems that serve as the substrate providing the source of truth for critical decisions. This ecosystem enables connected warfare with disproportional impact by connecting every robot, human, and sensor in every domain, bringing together hundreds of thousands of endpoints across the globe.

One of the three business lines is Warfighter Systems, which brings cutting-edge technology directly to those on the frontlines. Our flagship Eagle Eye headset and integrated helmet system exemplifies this approach, leveraging best-in-class commercial partnerships to enhance soldier capabilities. Wearable tech, immersive mission command tools, and seamlessly integrated software and hardware create an ecosystem that improves situational awareness, survivability, and combat effectiveness. From training to battlefield operations, Anduril's Warfighter Systems designs tools that move at the speed of war, ensuring that soldiers are better connected, more lethal, and more resilient.

ABOUT THE JOB

We’re seeking a Staff Technical Program Manager to drive hardware design and development efforts across several of Connected Warfare’s largest programs. This role requires a unique blend of technical expertise, program management experience, customer focus, and an understanding of the defense sector and military systems. You will work closely with engineering, product, business, and government stakeholders to deliver innovative solutions that meet the needs of our customers and partners.

WHAT YOU'LL DO

• Program Management: Align program roadmaps, manage timelines, and allocate resources to ensure successful delivery and production-quality. Balance competing priorities across multiple products and programs in a fast-paced, startup environment.
• Cross-functional Collaboration: Serve as the primary liaison between research, engineering teams, product management, and external stakeholders—including defense contractors and government entities. Align cross-functional teams on their goals, dependencies, and deliverables. Drive effective communication and collaboration across distributed teams and locations.
• Technical Expertise: Understand the architecture, dependencies, and technical challenges of defense-related systems. Support engineering teams in resolving technical issues, making trade-offs to meet division objectives. Ensure compliance with industry standards and government regulations, such as ITAR and RMF.
• Risk Management: Identify and mitigate risks proactively, including technical, schedule, and compliance-related risks. Monitor dependencies, anticipate bottlenecks, and adjust plans as needed to maintain program momentum.
• Stakeholder Management: Manage relationships with key suppliers, customers, partners, and government agencies, ensuring program alignment with contractual obligations and stakeholder expectations. Prepare and deliver clear program updates, technical briefs, and performance reports for internal and external audiences.
• Process Improvement: Implement and refine processes to enhance program execution and efficiency within a startup environment. Leverage best practices in program management while adapting to the unique challenges of the defense sector. Cultivate knowledge management repositories and CI/CD pipelines to build processes that result in production-quality engineering deliverables.

REQUIRED QUALIFICATIONS

• Minimum 12+ years managing complex hardware development programs through all phases of the hardware development cycle.
• At least 8+years as Technical Program Manager, Product Manager, Engineering Manager, or Engineer for a commercial technology or aerospace and defense company.
• Expertise in designing and integrating custom embedded compute solutions, with a strong emphasis on multi-protocol connectivity (e.g., Bluetooth, USB) for compact, low-power devices.
• Strong technical background with familiarity in systems engineering, software development, and networking
• Proven client-facing technical program management and/or systems engineering experience
• Demonstrated ability to translate complex technical issues into business-impact insights
• Exceptional organizational and communication skills
• Experience overseeing the full development lifecycle of a hardware product or a critical component
• Proven experience in component sourcing and vendor management
• Willingness to travel as needed (up to 25%)

PREFERRED QUALIFICATIONS

• Ability to work within organizations with minimal structure and with minimal direction
• Proven track record in designing and implementing best practices that drive operational efficiency and sustainable growth
• Familiarity with a defense industry compliance, and reporting requirements
• Experience with developing and operating distributed systems, CI/CD pipelines, APIs, middleware, 3rd-party software developer experience initiatives, and/or modular system architectures
• Experiencing with managing Test and Evaluation or continuous Quality Assurance of complex programs
• Strong technical, analytical and quantitative skills with the ability to use data and metrics to back up assumptions, recommendations and drive decisions
• Bachelor’s Degree in an Engineering discipline

What We're Looking For

We are seeking a highly skilled Research Engineer to work on optimizing training and inference workloads on compute accelerators and clusters, through the Lightning Thunder compiler and the broader PyTorch Lightning ecosystem. This role sits at the intersection of deep learning research, compiler development, and large-scale system optimization. You’ll be shaping technology that pushes the boundaries of model performance and efficiency, creating foundational software that will impact the entire machine learning ecosystem.

This role is based in one of our hubs (NYC, SF, Seattle, or London), with a minimum of 2 in-office days per week and occasional team and company offsites.

What You'll Do

• Develop performance-oriented model optimizations at multiple levels:
• Graph-level (e.g., operator fusion, kernel scheduling, memory planning)
• Kernel-level (CUDA, Triton, custom operators for specialized hardware)
• System-level (distributed training across GPUs/TPUs, inference serving at scale)
• Advance the Thunder compiler by building optimization passes, graph transformations, and integration hooks to accelerate training and inference workloads.
• Work across the software stack to ensure optimizations are accessible to end users through clean APIs, automated tooling, and seamless integration with PyTorch Lightning.
  Design and implement profiling and debugging tools to analyze model execution, identify bottlenecks, and guide optimization strategies.
• Collaborate with hardware vendors and ecosystem partners to ensure Thunder runs efficiently across diverse backends (NVIDIA, AMD, TPU, specialized accelerators).
• Contribute to open-source projects by developing new features, improving documentation, and supporting community adoption.
• Engage with researchers and engineers in the community, providing guidance on performance tuning and advocating for Thunder as the go-to optimization layer in ML workflows.
• Work cross-functionally with Lightning’s product and engineering teams to ensure compiler and optimization improvements align with the broader product vision.

What You’ll Need

• Strong expertise with deep learning frameworks such as PyTorch
• Hands-on experience with model optimization techniques, including graph-level optimizations, quantization, pruning, mixed precision, or memory-efficient training.
• Knowledge of distributed systems and parallelism strategies (data/model/pipeline parallelism, checkpointing, elastic scaling).
• Familiarity with software engineering practices: designing APIs, building robust tooling, testing, CI/CD for performance-sensitive systems.
• Excellent collaboration and communication skills, with the ability to partner across research, engineering, and external contributors.
• Bachelor’s degree in Computer Science, Engineering, or a related field.

Nice-to-Haves

• Experience with CUDA, Triton, or other GPU programming models for developing custom kernels.
• Deep understanding of deep learning compiler internals (IR design, operator fusion, scheduling, optimization passes) or proven work in performance-critical software.
• Proven track record contributing to open-source projects in ML, HPC, or compiler domains.
• Advanced degree (Master’s or PhD) in machine learning, compilers, or systems highly preferred.

Compensation

Job Scope:

This Equipment Engineer reports to the Equipment Manager based in New Jersey and is critical for providing onsite equipment engineering leadership at our Redmond, WA facility. The ideal candidate is a highly organized and independent professional with strong communication skills, experienced in managing the full lifecycle of laboratory and production equipment. This role requires taking full ownership of equipment-related events in Redmond, with strategic support from the NJ-based team.

The primary initial focus will be on managing the site's calibration and preventive maintenance program by scheduling and overseeing third-party vendors. The engineer will ensure equipment reliability and compliance within a GMP/ISO framework through effective asset management and vendor coordination.

Details: This is a full-time role based onsite in Redmond, WA. The estimated salary range is $65,000 - $95,000 dependent upon experience level.

Primary Responsibilities: 

Vendor & Maintenance Program Management:

• Own the site's calibration and preventive maintenance (PM) program by scheduling, coordinating, and overseeing third-party vendors and service contractors.
• Serve as the primary point of contact for external vendors; audit their work on-site to ensure quality and compliance.
• Manage the spare parts strategy and inventory.

Asset & System Management:

• Administer the Computerized Maintenance Management System (CMMS - e.g., Limble) to schedule vendor services, manage work orders, and maintain accurate asset histories.
• Maintain and update the site's equipment inventory database, which includes a range of critical instruments such as analyzers, liquid handlers, HPLC systems, spectrophotometers, synthesizers, thermal cyclers, and general lab equipment.
• Develop, review, and improve technical Standard Operating Procedures (SOPs) related to equipment operation and maintenance.

Equipment Support & Troubleshooting:

• Act as the first point of contact for equipment issues, performing initial troubleshooting and coordinating with vendors for advanced repairs as needed.
• Lead root cause analysis (RCA) for equipment deviations and implement effective Corrective and Preventive Actions (CAPA).
• (Future State) Progressively build in-house capabilities to perform hands-on PM and calibration activities.

Compliance & Quality:

• Ensure all equipment activities comply with GMP, ISO, and other relevant regulatory standards.
• Support Quality Assurance and Control objectives by ensuring equipment is maintained in a validated state.
• Manage documentation for equipment maintenance, vendor service reports, and deviations.

Communication & Collaboration:

• Communicate effectively with site staff, management, and the remote NJ equipment team on equipment status, vendor performance, and projects.
• Work autonomously while seamlessly integrating with Redmond stakeholders.

Qualifications: 

• Bachelor’s degree in Engineering or a related scientific field.
• 3+ years of experience in an equipment engineering, maintenance, or calibration role within a biotech, pharmaceutical, or medical device environment.
• Proven experience scheduling, managing, and overseeing third-party service vendors for calibration and preventive maintenance.
• Strong experience managing assets and work orders within a CMMS (e.g., Limble, Maximo, Blue Mountain).
• Familiarity with GMP and ISO quality standards is required.
• Excellent organizational skills and the ability to manage multiple priorities and vendor schedules independently.
• Strong verbal and written communication skills are essential for effective remote collaboration and vendor management.

#LI-EB1

#GS

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its Design award winner for inclusivity for 2025.

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

With the growth of our Android app, being the most used text-to-speech app in the Play Store, we find the need for a Senior Android Engineer to help us support the new user base as well as work on new and exciting projects to push us forward.   

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Owning major features and working closely with our design team - take ownership of features inside the app and become responsible of delivering high quality features
• Shape the future of our Android team
• Own, maintain and improve reliability metrics for key features
• Participate in discussions across different teams - Product, Design, Engineering
• Review pull requests, and support other teammates
• Handle critical issues or cope with unexpected challenges 
• Take ownership of feature releases and provide nightly builds for the QA team

An Ideal Candidate Should Have

• 5+ years of software engineering experience
• Familiarity with Android components
• Experience building or contributing to at least one Android app
• Product design intuition and user empathy
• Drive to push the boundaries of Android UI/UX
• Understanding of the importance of tests and how to approach writing tests
• Self-drive to improve the app and codebase above and beyond what's outlined in the spec
• Rock solid experience with Kotlin, Kotlin Coroutines, Kotlin Flow, Dagger 2, MVVM, Clean Architecture, Background Services, Music Player Service, Android Animations, Jetpack Navigation, JUnit tests
• Excellent communication skills
• User oriented problem solving approach
• Driven with continuous feedback from leaders

Bonus:

• Experience building, maintaining, or otherwise contributing to open source projects in Android
• Experience with iOS, Web or NodeJS

Technologies we use:

• Kotlin
• Kotlin Coroutines
• Kotlin Flow
• Jetpack Navigation
• Dagger 2
• Room
• Custom Views, Canvas & Paint
• Jetpack Compose
• JUnit

What We offer:

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio.

The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.

The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience             

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

ABOUT THE ROLE

The Peloton Systems Engineering Team is looking for a creative Firmware Engineer to build the next generation of industry-leading fitness technology. In this role, you’ll be the bridge between high-level applications and register-level drivers, serving as a key contributor in a multidisciplinary team. You won't just write code; you'll influence the entire product lifecycle—from conceptual brainstorming to production-ready hardware—integrating AI/ML techniques to push the boundaries of system quality and maintainability.

YOUR DAILY IMPACT AT PELOTON

• Craft high-performance firmware for bare-metal and embedded OS environments, ensuring seamless integration between custom hardware and Android services
• Implement robust device-to-cloud communication (MQTT, CoAP, HTTP) and manage wireless stacks including Wi-Fi, Bluetooth, and Thread
• Safeguard our products by implementing encryption, secure boot, and secure firmware updates to protect user data and device authenticity
• Develop custom tools for software, hardware, and QA teams, conducting rigorous unit tests and automated scripts to ensure flawless functionality
• Utilize logic analyzers, JTAG probes, and oscilloscopes to diagnose and resolve complex firmware issues in production environments
• Partner with Project Managers in Agile/Scrum settings to define requirements, architect software solutions, and plan high-impact sprints
• Drive excellence through active participation in product design reviews, code reviews, and detailed documentation
• Contribute to broad-scale brainstorming sessions and communicate technical progress clearly to both internal teams and external stakeholders

YOU BRING TO PELOTON

• 4+ years of professional firmware development, specifically with ARM Cortex-M or similar low-power platforms
• Mastery of C programming, RTOS environments (FreeRTOS, Zephyr), and multithreaded programming
• Deep understanding of communication standards like UART, SPI, I2C, CAN, and USB, alongside networking and wireless concepts
• Expert-level familiarity with Git-based workflows (Gerrit, GitHub) and a keen interest in leveraging AI-driven tools to boost code quality
• While C is your home, you have functional skills (or an interest) in Java, Kotlin, Bash, or Python
• A proactive, detail-oriented approach with the curiosity to master new technologies as project needs evolve
• The ability to translate complex technical challenges into actionable insights for the wider team
• A degree in Engineering or equivalent practical experience in the field

#LI-KN1
#LI-Onsite

What We're Looking For

We are looking for a Senior Application Security Engineer to help secure our AI, machine learning, and inference platforms. This is a hands on technical role focused on building security into modern AI infrastructure, inference systems, and developer platforms.

You will work closely with platform engineers, ML engineers, and infrastructure teams to identify risks, design secure architectures, and build security tooling that enables engineers to move quickly and safely.

This role is execution focused. You will drive technical implementation, perform deep security reviews, and help build out our application security capabilities alongside the CISO and engineering leadership.

This role can be based out of one of our office hubs (San Francisco or Seattle) with in-office requirements of at least 2 days per week, plus occasional team/company offsites. We are not able to offer visa sponsorship for this position at this time.

What You’ll Do

Secure AI and Machine Learning Systems

• Perform threat modeling across AI platforms, inference services, and ML pipelines
• Identify risks such as prompt injection, model extraction, adversarial inputs, and data leakage
• Review model serving architectures and inference pipelines
• Partner with ML engineers to secure training, fine tuning, and deployment workflows
• Help design isolation and security controls for multi tenant AI workloads

Application Security Engineering

• Perform architecture and design security reviews
• Conduct targeted code reviews for high risk components
• Identify security gaps in APIs, micro-services, and distributed systems
• Build secure patterns for authentication, authorization, and service to service communication
• Help engineering teams implement secure defaults and guardrails

Inference Platform Security

• Secure customer facing inference APIs and services
• Protect against abuse, model extraction, and adversarial behavior
• Design rate limiting, isolation, and workload protection controls
• Build monitoring and detection for anomalous inference behavior

AI Supply Chain and Model Security

• Evaluate open source models and dependencies
• Secure model artifacts and distribution pipelines
• Implement integrity validation and provenance controls
• Help secure container images and runtime environments

Security Automation and Tooling

• Build security automation for AI and application pipelines
• Integrate security scanning into CI/CD workflows
• Develop tooling to help engineers detect and fix issues early
• Improve developer experience with security guardrails

What You'll Need

Required Experience

• Strong background in application security engineering
• Experience performing threat modeling and architecture reviews
• Experience securing APIs and distributed systems
• Experience working in cloud environments such as AWS, GCP, or Azure
• Experience with containers and Kubernetes
• Strong scripting or programming skills such as Python, Go, or similar
• Experience working closely with engineering teams to implement security improvements

AI and Machine Learning Experience

• Experience securing ML pipelines, inference systems, or data platforms
• Familiarity with risks such as prompt injection, model extraction, and adversarial inputs
• Experience reviewing model serving architectures
• Understanding of training data security and data leakage risks

It's a Strong Plus If You Have

• Red team or offensive security experience
• Experience crafting payloads and evaluating CVEs for exploitability in diverse environments
• Experience with GPU infrastructure or high performance computing
• Experience with Hugging Face, PyTorch, TensorFlow, or similar frameworks
• Experience with LLM systems, RAG pipelines, or agent frameworks
• Experience building security automation pipelines
• Experience securing multi tenant infrastructure

What Success Looks Like

• Security is embedded into AI platform architecture early
• Engineering teams ship quickly with secure defaults
• Inference platforms are resilient against abuse and extraction
• Model pipelines are secure and auditable
• Security tooling scales with engineering growth

Why This Role Matters

This role sits at the intersection of application security, AI infrastructure, and developer platforms. You will help define how we secure modern AI systems while enabling engineers to move quickly and safely.

You will work closely with engineering leadership and the CISO to build practical, scalable security capabilities that support rapid innovation in AI and machine learning.

Compensation

Your Impact 

_{The Axon VR team is building immersive training experiences that help officers develop greater empathy, improve decision-making under pressure, and enhance community engagement. As a Senior Software Engineer focused on test automation, you will play a critical role in ensuring the quality, stability, and performance of our VR training products spanning Unity-based applications, backend services, and integrated web platforms. . This role is ideal for a highly technical engineer who is passionate about quality, developer efficiency, and enabling more frequent and reliable releases through scalable automation and CI/CD infrastructure.} 

What You’ll Do 

_{Location: This role is based out of our Seattle, WA office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.
Reports to: Senior QA Manager}

• Design and implement test automation frameworks and tools for Unity VR applications, backend APIs, and connected web components. 
• Develop and maintain CI/CD pipelines to support continuous testing and deployment across the VR stack. 
• Collaborate with QA, software engineering, and product teams to build test coverage across unit, integration, E2E, and non-functional levels. 
• Create and maintain test plans that reflect realistic training scenarios, performance benchmarks (e.g., frame rate, headset responsiveness), and hardware-in-the-loop requirements. 
• Analyze automation results, investigate failures, and lead issue triage efforts with cross-functional teams. 
• Contribute to engineering best practices that improve test velocity, code quality, and deployment safety. 
• Advocate for quality and faster test feedback throughout the software development lifecycle, embedding automation into daily workflows. 

What You Bring

• 5+ years of experience in software development or test automation, ideally in immersive tech, gaming, or simulation environments. 
• Proficiency in C# with experience testing Unity-based applications. 
• Demonstrated success building automated tests and CI/CD pipelines for multi-surface systems (VR client, backend, web) with GitHub Actions, Jenkins or similar systems. 
• Familiarity with test automation tools like Appium, Selenium, NUnit or custom Unity testing frameworks. 
• Strong problem-solving skills and ability to investigate performance, interaction fidelity, and device-specific issues. 
• Clear and collaborative communication skills, with a strong sense of ownership and initiative. 

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work

Intro to Position

The Lead AI Solutions Engineer, AI Labs, is a foundational role in building NPR's first Generative AI (GAI)-focused product development team. Reporting to the VP of AI Labs, this engineer will be responsible for the technical development and implementation of generative AI solutions. The core mission is to engineer systems that leverage GAI to enhance the quality and actionability of our content metadata, thereby directly supporting the organization's goals of improving content personalization and increasing editorial efficiency. This role involves hands-on work in integrating AI products into core NPR systems, ensuring solutions are scalable, align with ethical guidelines, and are built upon industry best practices. This is a critical opportunity to shape NPR's technical AI adoption and build a new, innovative function.

Responsibilities

• Engineering & Implementation: Design, develop, and deploy scalable Generative AI (GAI) solutions, focusing on enhancing content metadata quality and actionability to meet organizational objectives.
• Architecture & Technical Best Practices: Establish and champion technical best practices for Generative AI systems, including MLOps, RAG architectures, prompt engineering, and model evaluation, ensuring high-quality, maintainable code.
• Cross-functional Development: Collaborate closely with Product Managers, data scientists, software and infrastructure engineers, and relevant subject matter experts to translate product requirements and roadmaps into robust, production-ready AI systems.
• System Optimization & Performance: Implement data-driven methods, A/B testing, and performance monitoring to optimize the efficiency, scalability, and impact of AI models and pipelines.
• Technical Communication: Clearly articulate technical architectures, development progress, and engineering challenges to product and non-technical stakeholders.
• Responsible AI: Integrate ethical AI principles and compliance standards directly into the design and implementation of all AI products, in alignment with company policies.
• Technology Scouting: Research and evaluate emerging AI technologies, frameworks, and industry trends to drive continuous technical innovation within the AI Labs.

The above duties and responsibilities are not an exhaustive list of required responsibilities, duties and skills. Other duties may be assigned, and this job description is subject to change at any time.

Minimum Qualifications

• 8+ years of professional experience in software development, data science, or machine learning engineering, with a focus on building and deploying production systems.
• 2+ years of hands-on experience working with generative AI, machine learning, or data products.
• Expert proficiency in Python and experience creating functional prototypes to validate technical feasibility and user flows.
• Demonstrable understanding and experience building products that leverage Large Language Models, RAG architectures, prompting, function calling, retrieval, vector databases, embeddings, fine-tuning, and model evaluation.
• Familiarity with building and integrating MCP servers and agentic workflows.
• Background in creating QA systems for AI processes and development.
• Excellent communication skills and the ability to clearly articulate technical architectures and challenges to product and non-technical stakeholders.
• A collaborative and respectful approach to work and an ability to adapt quickly to change.
• A deep commitment to the mission of NPR and to the responsible implementation of Generative AI technologies.

Preferred Qualifications

• Experience designing and building highly scalable, production-grade AI/ML pipelines and services.
• Proficiency with cloud platforms, particularly AWS and Google Cloud Platform (GCP) and MLOps tools, particularly MLFlow and Vertex AI. 
• Experience with DevOps practices, including CI/CD and enterprise infrastructure-as-code.
• Experience working in media organizations and an understanding of media delivery systems.

Work Location & Requirements

• Hybrid Permitted: This is a hybrid permitted role. Some aspects of this role require duties better performed at an NPR facility. The employee will be required to be in the office at the Washington, D.C. location at least two days a week. The employee must also reside in an NPR-supported location (D.C., MD, or VA).

Job Type

• This is a full-time, exempt position.

Compensation

Salary Range: The U.S. based anticipated salary range for this opportunity is $187,000 - $208,000 plus benefits. The range displayed reflects the minimum and maximum salaries NPR expects to provide for new hires for the position across all US locations.

NPR Benefits: NPR offers access to comprehensive benefits for employees and dependents. Regular, full-time employees scheduled to work 30 hours or more per week are eligible to enroll in NPR’s benefits options. Benefits include access to health and wellness, paid time off, and financial well-being. Plan options include medical, dental, vision, life/ accidental death and dismemberment, long-term disability, short-term disability, and voluntary retirement savings to all eligible NPR employees. 

Does this sound like you? If so, we want to hear from you.

#LI-HYBRID

It’s a plus if you have:

• Hands-on experience with Upbound and/or Crossplane
• Familiarity with KCS (Knowledge-Centered Service) practices and methodology
• Experience building agentic tooling, support automations, or AI-assisted workflows to improve customer outcomes
• Proficiency with Unix-like shells and command-line interfaces
• Scripting skills in Python, Bash, or similar
• Startup experience you know how to operate with ambiguity and move fast
• Hands-on experience with GitOps tooling (ArgoCD or Flux) and familiarity with reconciliation failure modes — drift, conflicts, dependency ordering
• Background in platform engineering or internal developer platforms (IDPs) — you understand what platform teams are trying to build and why it breaks
• Working proficiency in Go — enough to read Crossplane/provider source and identify relevant fixes

#LI-REMOTE

Overview

Esri is seeking a Senior GIS Engineer to join the Global Community Engagement Team, where you will act as a geospatial champion building and delivering ArcGIS based solutions to communities within and outside of Esri. In this role, you will leverage ArcGIS, with latest AI advancements plus it’s associated data, maps, apps and integration capabilities, to demonstrate The Geographic Approach in action. This is a great opportunity to be creative in how ArcGIS technology can be configured at an advanced level to deliver engaging solutions.

Your responsibilities include working alongside other GIS Engineers, Product Engineers, internal teams and Esri Distributor staff to design and develop state of the art content delivery systems for stakeholders, business leaders and their communities. Where necessary you will enhance the ArcGIS experiences and workflows with relevant customization via common programming languages.

Responsibilities

• Be an expert: Be proficient across ArcGIS and demonstrate the technology in new innovative ways. Understand stakeholder requirements, trends and associated workflows and incorporate these into your outputs.
• Drive innovation: Utilize front and back-end programming skills, such as HTML, CSS, ArcGIS API for JavaScript, Python, and more to enhance the delivery of ArcGIS based solutions, specifically ArcGIS Hub and ArcGIS Online. Deliver these with Project Management and Quality Assurance processes in mind.
• Solve problems: individually and as part of a team, proactively craft and propose solutions that demonstrate how geospatial brings value to users and communities.
• Tell our story: Design presentations and supporting materials for technical and non-technical audiences. Leverage existing and future Engagement Templates and Esri Unique Selling Points outputs. Create configuration guidance and best practices. Present to larger audiences where necessary.
• Influence: Contribute to the global community engagement strategy for Esri and collaborate with a team of technical contributors and stakeholders distributed globally.

Requirements

• 5+ years of professional experience working with ArcGIS Technology, with a focus on ArcGIS Online and ArcGIS Hub and associated apps
• A passion for geographic knowledge and spatial thinking, promoting The Geographic Approach and experience of systems thinking
• A strong drive and interest to learn and launch new ideas quickly and work in a fast-paced team environment with a disciplined, process-oriented mindset
• Experience configuring and publishing ArcGIS data, maps, and apps with advanced configuration desirable, including interoperability
• Programming and scripting experience with languages such as HTML, CSS, Python and JavaScript; exposure and experience with latest AI tools in this space is desirable
• Strong presentation skills, with excellent verbal and written communication along with virtual and in-person collaboration skills
• International collaboration and business experience, working with multiple cultures, developed and emerging markets
• Ability to travel up to 10% domestically and internationally
• Bachelor's degree in geography, computer science, or GIS-related field
• Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the U.S.

Recommended Qualifications

• Knowledge of project management and design processes
• Certificates in common programming and scripting languages
• Prior learning or experience in business strategy, team leadership, technical or data science is a plus

#LI-OH1

#LI-Onsite

Overview

Esri is seeking a Senior GIS Engineer to join the Global Community Engagement Team, where you will act as a geospatial champion building and delivering ArcGIS based solutions to communities within and outside of Esri. In this role, you will leverage ArcGIS, with latest AI advancements plus it’s associated data, maps, apps and integration capabilities, to demonstrate The Geographic Approach in action. This is a great opportunity to be creative in how ArcGIS technology can be configured at an advanced level to deliver engaging solutions.

Your responsibilities include working alongside other GIS Engineers, Product Engineers, internal teams and Esri Distributor staff to design and develop state of the art content delivery systems for stakeholders, business leaders and their communities. Where necessary you will enhance the ArcGIS experiences and workflows with relevant customization via common programming languages.

Responsibilities

• Be an expert: Be proficient across ArcGIS and demonstrate the technology in new innovative ways. Understand stakeholder requirements, trends and associated workflows and incorporate these into your outputs.
• Drive innovation: Utilize front and back-end programming skills, such as HTML, CSS, ArcGIS API for JavaScript, Python, and more to enhance the delivery of ArcGIS based solutions, specifically ArcGIS Hub and ArcGIS Online. Deliver these with Project Management and Quality Assurance processes in mind.
• Solve problems: individually and as part of a team, proactively craft and propose solutions that demonstrate how geospatial brings value to users and communities.
• Tell our story: Design presentations and supporting materials for technical and non-technical audiences. Leverage existing and future Engagement Templates and Esri Unique Selling Points outputs. Create configuration guidance and best practices. Present to larger audiences where necessary.
• Influence: Contribute to the global community engagement strategy for Esri and collaborate with a team of technical contributors and stakeholders distributed globally.

Requirements

• 5+ years of professional experience working with ArcGIS Technology, with a focus on ArcGIS Online and ArcGIS Hub and associated apps
• A passion for geographic knowledge and spatial thinking, promoting The Geographic Approach and experience of systems thinking
• A strong drive and interest to learn and launch new ideas quickly and work in a fast-paced team environment with a disciplined, process-oriented mindset
• Experience configuring and publishing ArcGIS data, maps, and apps with advanced configuration desirable, including interoperability
• Programming and scripting experience with languages such as HTML, CSS, Python and JavaScript; exposure and experience with latest AI tools in this space is desirable
• Strong presentation skills, with excellent verbal and written communication along with virtual and in-person collaboration skills
• International collaboration and business experience, working with multiple cultures, developed and emerging markets
• Ability to travel up to 10% domestically and internationally
• Bachelor's degree in geography, computer science, or GIS-related field
• Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the U.S.

Recommended Qualifications

• Knowledge of project management and design processes
• Certificates in common programming and scripting languages
• Prior learning or experience in business strategy, team leadership, technical or data science is a plus

#LI-OH1

#LI-Onsite

Overview

Esri is seeking a Senior GIS Engineer to join the Global Community Engagement Team, where you will act as a geospatial champion building and delivering ArcGIS based solutions to communities within and outside of Esri. In this role, you will leverage ArcGIS, with latest AI advancements plus it’s associated data, maps, apps and integration capabilities, to demonstrate The Geographic Approach in action. This is a great opportunity to be creative in how ArcGIS technology can be configured at an advanced level to deliver engaging solutions.

Your responsibilities include working alongside other GIS Engineers, Product Engineers, internal teams and Esri Distributor staff to design and develop state of the art content delivery systems for stakeholders, business leaders and their communities. Where necessary you will enhance the ArcGIS experiences and workflows with relevant customization via common programming languages.

Responsibilities

• Be an expert: Be proficient across ArcGIS and demonstrate the technology in new innovative ways. Understand stakeholder requirements, trends and associated workflows and incorporate these into your outputs.
• Drive innovation: Utilize front and back-end programming skills, such as HTML, CSS, ArcGIS API for JavaScript, Python, and more to enhance the delivery of ArcGIS based solutions, specifically ArcGIS Hub and ArcGIS Online. Deliver these with Project Management and Quality Assurance processes in mind.
• Solve problems: individually and as part of a team, proactively craft and propose solutions that demonstrate how geospatial brings value to users and communities.
• Tell our story: Design presentations and supporting materials for technical and non-technical audiences. Leverage existing and future Engagement Templates and Esri Unique Selling Points outputs. Create configuration guidance and best practices. Present to larger audiences where necessary.
• Influence: Contribute to the global community engagement strategy for Esri and collaborate with a team of technical contributors and stakeholders distributed globally.

Requirements

• 5+ years of professional experience working with ArcGIS Technology, with a focus on ArcGIS Online and ArcGIS Hub and associated apps
• A passion for geographic knowledge and spatial thinking, promoting The Geographic Approach and experience of systems thinking
• A strong drive and interest to learn and launch new ideas quickly and work in a fast-paced team environment with a disciplined, process-oriented mindset
• Experience configuring and publishing ArcGIS data, maps, and apps with advanced configuration desirable, including interoperability
• Programming and scripting experience with languages such as HTML, CSS, Python and JavaScript; exposure and experience with latest AI tools in this space is desirable
• Strong presentation skills, with excellent verbal and written communication along with virtual and in-person collaboration skills
• International collaboration and business experience, working with multiple cultures, developed and emerging markets
• Ability to travel up to 10% domestically and internationally
• Bachelor's degree in geography, computer science, or GIS-related field
• Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the U.S.

Recommended Qualifications

• Knowledge of project management and design processes
• Certificates in common programming and scripting languages
• Prior learning or experience in business strategy, team leadership, technical or data science is a plus

#LI-OH1

#LI-Onsite

About the Role:

As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.

We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us! 

Primary Job Responsibilities:

• Expert at building unified data technologies to support advanced and automated business analytics 
• Design, develop, document, and maintain database and reporting structures used to compile insights 
• Define, develop, and review extract, load, and transform (ELT) processes and data modeling solutions 
• Consistently evolve data processes and techniques following industry best practices 
• Establish and help define reports and dashboards used to translate business data into insights, identify and prioritize operational improvement opportunities, and measure business KPIs against objectives 
• Contribute to the ongoing improvement of quality assurance standards and procedures 
• Mentor and guide less experienced data engineers, contributing to their professional development 
• Stay updated with the latest data engineering technologies and trends and share your insights with the team 
• Support the vision and values of the company through role modeling and encouraging desired behaviors 
• Participate in various company initiatives and projects as requested 

Skills and Qualifications:

• Bachelor's degree in a related field (Computer Science, Engineering, etc.) 
• 5+ years of experience in data engineering roles, including creating and maintaining data pipelines, data modeling, and data architecture 
• 5+ years of experience in data cleansing, governance, and quality/integrity 
• 5+ years of experience in advanced SQL, including expert-level skills in querying large datasets from multiple sources and developing automated reporting 
• 5+ years of experience in Python, with skills for diverse components of data pipelines, including scripting, data manipulation, custom extract, transform and loads, and statistical/regression analysis 
• Expertise in extract, transform, and load (ETL) and extract, load, transform (ELT) processes and pipelines, platforms (e.g. Airflow), and distributed messaging (e.g. Kafka) 
• Experience with tools that capture and control data modeling change management (e.g. SQLMesh) 
• Experience building data alerting & notifications (e.g. on deviations, thresholds, etc.) 
• Experience building and managing tools for data observability and documentation (e.g. DataLab) 
• Proficient in data storage solutions, data warehousing, and cloud-based data platforms (e.g. Snowflake) 
• Proficient in deploying data pipelines to a cloud-native, containerized deployment/delivery environment (e.g. Kubernetes) 
• Knowledge and applicable working experience establishing and ensuring data governance, data quality, and compliance standards 
• Exceptional problem-solving skills and a track record of designing and optimizing data pipelines 
• Excellent communication and collaboration skills with the ability to engage with non-technical stakeholders 
• Experience working with enterprise technologies (CRM, ERP, Marketing Automation Platforms, Financial Systems, etc.) is a plus 
• Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Benefits + Compensation at PitchBook:

Physical Health

• Comprehensive health benefits
• Additional medical wellness incentives
• STD, LTD, AD&D, and life insurance

Emotional Health

• Paid sabbatical program after four years
• Paid family and paternity leave
• Annual educational stipend
• Ability to apply for tuition reimbursement
• CFA exam stipend
• Robust training programs on industry and soft skills
• Employee assistance program
• Generous allotment of vacation days, sick days, and volunteer days

Social Health 

• Matching gifts program
• Employee resource groups
• Subsidized emergency childcare
• Dependent Care FSA
• Company-wide events
• Employee referral bonus program
• Quarterly team building events

Financial Health 

• 401k match
• Shared ownership employee stock program
• Monthly transportation stipend

*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.

Compensation

• Annual base salary: $140,000-$170,000
• Target annual bonus percentage: 10%

Working Conditions:

At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.

The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.

We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.

#LI-KL1

#LI-Onsite

About the Team:

What You'll Be Doing:

• Design and build scalable data pipelines, batch jobs, and streaming processes that power analytics and machine learning.
• Implement and optimize data storage systems (warehouses, lakes, analytical databases) with a focus on reliability, lineage, and governance.
• Develop tools and frameworks to support data orchestration, ETL workflows, and big data processing.
• Collaborate with engineers, data scientists, and product managers to align platform capabilities with business needs.
• Ensure data systems meet requirements for quality, scalability, and cost efficiency in cloud environments.
• Contribute to technical discussions, code reviews, and system design sessions.
• Take ownership of features and projects, driving them from concept to production.

RDQ127R9

At Databricks, we are obsessed with Data + AI to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.

Founded in 2013 by the original creators of Apache Spark™, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 6500 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world.

The Money team's mission at Databricks is to maximize the value that our customers derive from their investments in data projects. We accomplish this through innovative commercialization strategies and cutting-edge engineering. Our team ensures timely, accurate, and customizable billing and usage data, alongside budgeting, forecasting, and cost optimization tools. We provide a seamless and consistent billing experience for all our customers, whether they are large enterprises or individual developers, across different pricing plans and cloud providers (AWS, GCP & Azure).

As a Sr. Staff Software Engineer on the Money team, you will be closely involved in the entire billing process, including usage ingestion, metering, pricing, credits, promotions, payments, usage reporting, and cost center and budgeting. Your role is crucial in democratizing data by bringing Databricks products to market.  By collaborating with marketing, product teams, commercialization experts, data scientists, IT, and customer support, you will standardize billing experiences across major cloud providers, offering our customers a unified "sky computation" experience. This role involves utilizing the latest Databricks products and tools within the ecosystem.

The impact you will have:

• Design and manage the Money systems and services, commercializing all Databricks products and offerings.
• Develop innovative primitives that enable  and support various pricing strategies such as Pay-As-You-Go, commissions, credits, trials, and promotions.
• Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection.
• Collaborate with commercialization experts to develop and implement innovative pricing strategies and plans.
• Use AI and LLMs to innovate in cost insight, prediction, and optimization across various cloud providers.
• You will become an expert at using the Databricks Data + AI tools
• Provide leadership in long-term vision and requirements development for Databricks products, in partnership with our engineering teams.
• Represent Databricks at academic and industrial conferences & events.

What we look for:

• BS or higher degree in Computer Science or a related field.
• 9+ years of experience building large projects similar to those described, including near real-time large data processing and distributed service infrastructure management.
• Proven track record of building, shipping, and managing reliable, distributed services and data pipelines at scale.
• Demonstrated leadership skills and the ability to lead across functional and organizational boundaries.
• A proactive approach and a passion for delivering high-quality solutions

At Databricks, we are obsessed with Data + AI to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.

Founded in 2013 by the original creators of Apache Spark™, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 6500 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world.

The Money team's mission at Databricks is to maximize the value that our customers derive from their investments in data projects. We accomplish this through innovative commercialization strategies and cutting-edge engineering. Our team ensures timely, accurate, and customizable billing and usage data, alongside budgeting, forecasting, and cost optimization tools. We provide a seamless and consistent billing experience for all our customers, whether they are large enterprises or individual developers, across different pricing plans and cloud providers (AWS, GCP & Azure).

As a Sr. Software engineer on the Money team, you will be closely involved in the entire billing process, including usage ingestion, metering, pricing, credits, promotions, payments, usage reporting, and cost center and budgeting. Your role is crucial in democratizing data by bringing Databricks products to market.  By collaborating with marketing, product teams, commercialization experts, data scientists, IT, and customer support, you will standardize billing experiences across major cloud providers, offering our customers a unified "sky computation" experience. This role involves utilizing the latest Databricks products and tools within the ecosystem.

The impact you will have:

• Design and manage the Money systems and services, commercializing all Databricks products and offerings.
• Develop innovative primitives that enable  and support various pricing strategies such as Pay-As-You-Go, commissions, credits, trials, and promotions.
• Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection.
• Collaborate with commercialization experts to develop and implement innovative pricing strategies and plans.
• Use AI and LLMs to innovate in cost insight, prediction, and optimization across various cloud providers.
• You will become an expert at using the Databricks Data + AI tools
• Provide leadership in long-term vision and requirements development for Databricks products, in partnership with our engineering teams.
• Represent Databricks at academic and industrial conferences & events.

What we look for:

• BS or higher degree in Computer Science or a related field.
• Technical leadership experience in large projects similar to those described, including near real-time large data processing and distributed service infrastructure management.
• Proven track record of building, shipping, and managing reliable, distributed services and data pipelines at scale.
• Demonstrated leadership skills and the ability to lead across functional and organizational boundaries.
• A proactive approach and a passion for delivering high-quality solutions

Staff Software Engineer - Money Team

P-940

At Databricks, we are obsessed with Data + AI to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.

Founded in 2013 by the original creators of Apache Spark™, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 6500 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world.

The Money team's mission at Databricks is to maximize the value that our customers derive from their investments in data projects. We accomplish this through innovative commercialization strategies and cutting-edge engineering. Our team ensures timely, accurate, and customizable billing and usage data, alongside budgeting, forecasting, and cost optimization tools. We provide a seamless and consistent billing experience for all our customers, whether they are large enterprises or individual developers, across different pricing plans and cloud providers (AWS, GCP & Azure).

As a software engineer on the Money team, you will be closely involved in the entire billing process, including usage ingestion, metering, pricing, credits, promotions, payments, usage reporting, and cost center and budgeting. Your role is crucial in democratizing data by bringing Databricks products to market.  By collaborating with marketing, product teams, commercialization experts, data scientists, IT, and customer support, you will standardize billing experiences across major cloud providers, offering our customers a unified "sky computation" experience. This role involves utilizing the latest Databricks products and tools within the ecosystem.

The impact you will have:

• Design and manage the Money systems and services, commercializing all Databricks products and offerings.
• Develop innovative primitives that enable  and support various pricing strategies such as Pay-As-You-Go, commissions, credits, trials, and promotions.
• Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection.
• Collaborate with commercialization experts to develop and implement innovative pricing strategies and plans.
• Use AI and LLMs to innovate in cost insight, prediction, and optimization across various cloud providers.
• You will become an expert at using the Databricks Data + AI tools
• Provide leadership in long-term vision and requirements development for Databricks products, in partnership with our engineering teams.
• Represent Databricks at academic and industrial conferences & events.

What we look for:

• BS or higher degree in Computer Science or a related field.
• Technical leadership experience in large projects similar to those described, including near real-time large data processing and distributed service infrastructure management.
• Proven track record of building, shipping, and managing reliable, distributed services and data pipelines at scale.
• Demonstrated leadership skills and the ability to lead across functional and organizational boundaries.
• A proactive approach and a passion for delivering high-quality solutions

Full Stack Software Engineer (Senior level role)

The Consumer team owns comprehensive digital experiences for home sellers and buyers. While sellers have traditionally come to Opendoor for a cash offer on their homes, we have been expanding our suite of products to serve more customers in one of the biggest transactions of their lives. This is a particularly exciting time for the team as we transform our technical architecture and user experience to a multi-product, personalized experience. We are looking for a product-focused Senior Full stack Engineer to join us in this transformation.

What You'll Do:

• Create Meaningful Experiences: Work closely with product managers and designers to understand user pain points and build elegant, scalable solutions that delight our customers.
• Own Full Stack Features: Design and develop robust front-end experiences in React and TypeScript, while also diving into back-end systems (Python, Go, or Ruby) to ensure seamless functionality end to end.
• Lead with Craftsmanship: Write clean, maintainable, and modular code. You’ll contribute to reusable UI components and scalable application architecture that powers multiple user experiences.
• Collaborate Across Disciplines: Engage with engineers, designers, and operators to deliver end-to-end solutions, share feedback, and ensure alignment across teams.
• Drive Quality & Best Practices: Champion technical excellence through code reviews, mentorship, and initiatives to raise the bar on software quality and team processes.
• Remove Friction with Technology: Partner with our operations teams to identify opportunities where software can simplify workflows, reduce manual tasks, and enhance customer support.

Skills & Experience we're seeking:

• Bachelor's degree in Computer Science or related discipline. Masters degree preferred.
• Outstanding object-oriented design and object-oriented programming skills (OOD/OOP).
• 8+ years of full stack software development experience in a SaaS company - building and delivering high quality, web-based user-centered software products.
• 8+ of development front end UI experience with JavaScript/TypeScript, React, GraphQL, HTML5 and CSS with a deep understanding of building scalable, maintainable user interfaces.
• 5+ years of back end development experience; Ruby, Go, and Python preferred.
• A strong desire to build intuitive, impactful software that solves real problems for real people.
• Experience working closely with cross-functional partners, such as engineering, design and operations, to deliver value to customers
• Ideally, direct experience with our tech stack:
• Frontend:   React, Typescript, gRPC, Kafka, GraphQL
• Backend:  Rails, Go;
• Db:  Postgres
• Cloud:  AWS

The base pay range for this position is $170,000 - $234,000 annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience.  We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.

#LI-RO

About the Role

We’re looking for a seasoned Staff Infrastructure Engineer to join our engineering team and lead the design, development, and evolution of our cloud infrastructure. In this role, you’ll be at the forefront of scaling our platform, optimizing cloud operations, and driving infrastructure best practices in a modern, services-based architecture.

You’ll work closely with the product engineering, developer experience and security teams to ensure our infrastructure is robust, secure, scalable, and aligned with our product goals. If you thrive in a fast-paced environment, have deep experience in AWS and Kubernetes, and are passionate about infrastructure as code and automation, we’d love to hear from you.

What You'll Do

• Design, build, and maintain scalable, secure, and highly available infrastructure in AWS using best practices.

• Lead our efforts in Kubernetes (EKS) architecture, cluster management, and deployment strategies.

• Collaborate with application and platform engineering teams to optimize microservices deployment, CI/CD workflows, and service orchestration.

• Define and implement infrastructure as code (IaC) using tools like Terraform or AWS CDK.

• Drive observability and performance monitoring strategies using tools like Prometheus, Grafana, Datadog, or CloudWatch.

• Champion DevOps culture across the organization and mentor other engineers on cloud-native best practices. 

• Develop and maintain disaster recovery and business continuity strategies. 

• Conduct architecture reviews, performance tuning, and capacity planning.

• Stay up to date with industry trends and emerging technologies, proactively recommending improvements.
   

What You'll Need

• 8+ years of experience in infrastructure, DevOps, or site reliability engineering roles.

• Strong expertise with AWS services (EC2, ECS/EKS, IAM, VPC, RDS, S3, etc.).

• Deep hands-on experience with Kubernetes (EKS) in production environments.

• Proficient in infrastructure-as-code tools like Terraform, Pulumi, or AWS CDK.

• Experience with microservices and distributed systems architectures.

• Strong scripting and automation skills (e.g., Python, Bash, Go). 

• Proven experience with monitoring, logging, and observability systems.

• Solid understanding of networking, security, and cloud infrastructure best practices.

• Experience in a high-scale, SaaS or cloud-native environment.

• Familiarity with service meshes (e.g., Istio, Linkerd) and container runtimes.

• Knowledge of CI/CD pipelines and tools such as GitHub Actions, ArgoCD, or Jenkins.

• AWS Certifications (e.g., Solutions Architect, DevOps Engineer) are a plus.
   

Why Join Us

• Work on cutting-edge cloud infrastructure and architecture.

• Make a real impact on how we scale and ship reliable services.

• Collaborate with a team of passionate engineers in a culture of learning and growth.

• Competitive compensation, equity, and benefits package.
   

Compensation

The base pay range for this position is $214,000 - $294,800  annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.

About the Role

We’re looking for a seasoned Staff Infrastructure Engineer to join our engineering team and lead the design, development, and evolution of our cloud infrastructure. In this role, you’ll be at the forefront of scaling our platform, optimizing cloud operations, and driving infrastructure best practices in a modern, services-based architecture.

You’ll work closely with the product engineering, developer experience and security teams to ensure our infrastructure is robust, secure, scalable, and aligned with our product goals. If you thrive in a fast-paced environment, have deep experience in AWS and Kubernetes, and are passionate about infrastructure as code and automation, we’d love to hear from you.

What You'll Do

• Design, build, and maintain scalable, secure, and highly available infrastructure in AWS using best practices.

• Lead our efforts in Kubernetes (EKS) architecture, cluster management, and deployment strategies.

• Collaborate with application and platform engineering teams to optimize microservices deployment, CI/CD workflows, and service orchestration.

• Define and implement infrastructure as code (IaC) using tools like Terraform or AWS CDK.

• Drive observability and performance monitoring strategies using tools like Prometheus, Grafana, Datadog, or CloudWatch.

• Champion DevOps culture across the organization and mentor other engineers on cloud-native best practices. 

• Develop and maintain disaster recovery and business continuity strategies. 

• Conduct architecture reviews, performance tuning, and capacity planning.

• Stay up to date with industry trends and emerging technologies, proactively recommending improvements.
   

What You'll Need

• 8+ years of experience in infrastructure, DevOps, or site reliability engineering roles.

• Strong expertise with AWS services (EC2, ECS/EKS, IAM, VPC, RDS, S3, etc.).

• Deep hands-on experience with Kubernetes (EKS) in production environments.

• Proficient in infrastructure-as-code tools like Terraform, Pulumi, or AWS CDK.

• Experience with microservices and distributed systems architectures.

• Strong scripting and automation skills (e.g., Python, Bash, Go). 

• Proven experience with monitoring, logging, and observability systems.

• Solid understanding of networking, security, and cloud infrastructure best practices.

• Experience in a high-scale, SaaS or cloud-native environment.

• Familiarity with service meshes (e.g., Istio, Linkerd) and container runtimes.

• Knowledge of CI/CD pipelines and tools such as GitHub Actions, ArgoCD, or Jenkins.

• AWS Certifications (e.g., Solutions Architect, DevOps Engineer) are a plus.
   

Why Join Us

• Work on cutting-edge cloud infrastructure and architecture.

• Make a real impact on how we scale and ship reliable services.

• Collaborate with a team of passionate engineers in a culture of learning and growth.

• Competitive compensation, equity, and benefits package.
   

Compensation

Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.

About the Role

We’re looking for a seasoned Staff Infrastructure Engineer to join our engineering team and lead the design, development, and evolution of our cloud infrastructure. In this role, you’ll be at the forefront of scaling our platform, optimizing cloud operations, and driving infrastructure best practices in a modern, services-based architecture.

You’ll work closely with the product engineering, developer experience and security teams to ensure our infrastructure is robust, secure, scalable, and aligned with our product goals. If you thrive in a fast-paced environment, have deep experience in AWS and Kubernetes, and are passionate about infrastructure as code and automation, we’d love to hear from you.

What You'll Do

• Design, build, and maintain scalable, secure, and highly available infrastructure in AWS using best practices.

• Lead our efforts in Kubernetes (EKS) architecture, cluster management, and deployment strategies.

• Collaborate with application and platform engineering teams to optimize microservices deployment, CI/CD workflows, and service orchestration.

• Define and implement infrastructure as code (IaC) using tools like Terraform or AWS CDK.

• Drive observability and performance monitoring strategies using tools like Prometheus, Grafana, Datadog, or CloudWatch.

• Champion DevOps culture across the organization and mentor other engineers on cloud-native best practices. 

• Develop and maintain disaster recovery and business continuity strategies. 

• Conduct architecture reviews, performance tuning, and capacity planning.

• Stay up to date with industry trends and emerging technologies, proactively recommending improvements.
   

What You'll Need

• 8+ years of experience in infrastructure, DevOps, or site reliability engineering roles.

• Strong expertise with AWS services (EC2, ECS/EKS, IAM, VPC, RDS, S3, etc.).

• Deep hands-on experience with Kubernetes (EKS) in production environments.

• Proficient in infrastructure-as-code tools like Terraform, Pulumi, or AWS CDK.

• Experience with microservices and distributed systems architectures.

• Strong scripting and automation skills (e.g., Python, Bash, Go). 

• Proven experience with monitoring, logging, and observability systems.

• Solid understanding of networking, security, and cloud infrastructure best practices.

• Experience in a high-scale, SaaS or cloud-native environment.

• Familiarity with service meshes (e.g., Istio, Linkerd) and container runtimes.

• Knowledge of CI/CD pipelines and tools such as GitHub Actions, ArgoCD, or Jenkins.

• AWS Certifications (e.g., Solutions Architect, DevOps Engineer) are a plus.
   

Why Join Us

• Work on cutting-edge cloud infrastructure and architecture.

• Make a real impact on how we scale and ship reliable services.

• Collaborate with a team of passionate engineers in a culture of learning and growth.

• Competitive compensation, equity, and benefits package.
   

Compensation

Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.

Software Engineer, Security Engineering

Team: IT, Security, and Corporate Engineering
Location: Seattle, Washington 

About the Role

At Opendoor our goal is to build the biggest, most trusted housing platform and set a new standard for how people move. We've combined our deep, proprietary data and operational expertise with the power of artificial intelligence to make online home selling and buying radically simple.

Our Security Engineering team is building intelligent systems that protect Opendoor and our customers while enabling unprecedented engineering velocity. We apply software engineering and AI to solve security problems across product, infrastructure, and operations by building guardrails where they matter, not gates where they don't.

What You'll Do

• Build systems and AI agents that harden infrastructure, protect sensitive data, and facilitate safe transactions for home acquisition, resale, mortgage, title, and escrow.
• Design workflows and CI/CD pipelines that enable engineers and non-engineers alike to design, build, and ship safely.
• Set new standards and security patterns for AI maximalist engineering and operations.
• Apply deep expertise in threat modeling and risk management to understand and enable complex business operations.
• Mentor engineers and colleagues in security, software engineering, and AI.

Tech Stack

• Languages: Python, Go, Ruby, Terraform
• Corporate Platforms: Okta, AWS, Google Workspace, Slack, Jamf, CrowdStrike
• Engineering: AWS, GitHub, CI/CD pipelines, Infrastructure as Code (Terraform)
• AI Tools: Claude, OpenAI, agent frameworks, workflow automation

What You'll Need

• Deep conviction that AI and automation should eliminate manual work humans shouldn't be doing anyway. You're excited to replace developer toil and reactive firefighting with automated systems and guardrails.
• Business enablement security mindset - measuring security success by business impact, which means informed risk taking.
• 8+ years of software engineering experience with strong skills in Python, Go, or similar languages.
• Expertise in cloud security architecture, Kubernetes, container orchestration, and identity management.
• Humility and genuine curiosity—you're as excited to learn and enable the business and your colleagues as you are to utilize cutting edge tools and techniques in security and AI.

Bonus Points For

• Incident response training and experience.
• M.S. in Computer Science or security-focused graduate work.

Compensation

The base pay range for this position in Seattle is $214,000 - $294,000 USD annually and in Toronto it is $177,000-243,000 CAD, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.

#LI-RO