Sr. Technical Program Manager – San Diego

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

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

Responsibilities:

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

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

Other responsibilities include...

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

Qualifications:

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

Staff Site Reliability Engineer

San Diego, CA

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

Responsibilities:

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

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

Qualifications:

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

#LI-KS1

Software Engineer II, Backend

San Diego, CA

Primary Responsibilities:

• You will provide strong technical abilities in cloud-based software development and highly scalable API designs
• Design, implement and maintain RESTful Web Services API and algorithms
• Produce excellent, detailed design and development documentation
• Work with team members to deliver features on time, respond to evolving requirements, and strategic shifts in direction
• Familiar and comfortable with Agile/Scrum software development methodology

 Qualifications:

•  2-5 years of proven programming experience in Java (or equivalent enterprise back-end) developing server-side applications, object-oriented design and design patterns, and passionate about writing high-quality and well-architected code
• Experience in building high-performance and cloud-based scalable web services
• Experience implementing services backed by SQL and NoSQL data stores
• Strong understanding of engineering standard methodologies – requirement gathering and analysis, design and develop secure and scalable code with unit tests, participate in code reviews and documentation, experience with multiple technology stacks
• Ability to balance periodic on-call duty, and defensive engineering to minimize impact
• Strong written and verbal communication skills
• Experience with Amazon Web Services and cloud architecture
• Knowledge of DevOps practices, containerization, Docker/Kubernetes

About the role

At Applied Intuition, you will:

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

We're looking for someone who has:

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

Travel Requirements:

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

Security Requirements:

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

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

Nice to have:

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

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

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

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

About the role

At Applied Intuition, you will:

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

We're looking for someone who has:

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

Travel Requirements:

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

Security Requirements:

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

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

Nice to have:

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

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

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

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

BASE SALARY: $150,000 to $190,000 per year, paid semi-monthly

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.

BASE SALARY: $150,000 to $190,000 per year, paid semi-monthly

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.

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

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

Position Overview:

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

Essential Job Functions:

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

Education and/or Work Experience Requirements:

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

Required Knowledge, Skills, Abilities, and Other Characteristics:

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

Things that make a difference:

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

Physical Demands:

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

Work Environment:

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

Salary Range:

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

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

Position Overview:

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

Essential Job Functions:

Automation Development & Test Engineering

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

Simulation-Based Validation

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

CI/CD & Engineering Workflow Integration

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

Quality Insights & Reporting

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

Engineering Documentation & Collaboration

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

AI-Assisted Development & Testing

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

Education and/or Work Experience Requirements: 

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

Preferred Qualifications:

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

Things that make a difference:

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

Physical Demands:

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

Work Environment:

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

Salary and Benefits:

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

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

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

Additional Perks include:

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

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

Position Overview:

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

Essential Job Functions:

Automation Development & Test Engineering

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

Simulation-Based Validation

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

CI/CD & Engineering Workflow Integration

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

Quality Insights & Reporting

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

Engineering Documentation & Collaboration

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

AI-Assisted Development & Testing

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

Education and/or Work Experience Requirements: 

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

Preferred Qualifications:

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

Things that make a difference:

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

Physical Demands:

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

Work Environment:

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

Salary and Benefits:

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

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

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

Additional Perks include:

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

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

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

Position Overview:

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

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

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

Essential Job Functions:

Automation Development & Test Engineering

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

Simulation-Based Validation

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

CI/CD & Engineering Workflow Integration

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

Quality Insights & Reporting

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

Engineering Documentation & Collaboration

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

AI-Assisted Development & Testing

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

Technical Leadership & Mentorship

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

Education and/or Work Experience Requirements: 

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

Preferred Experience:

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

Things that make a difference:

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

Physical Demands:

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

Work Environment:

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

Salary Range:

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

About the Team:

STR’s Analytics and Command & Control (AC2) Division focuses on developing actionable, advanced technology solutions to provide asymmetric advantages within the information domain. 

The Mission Applications (MA) Group within the AC2 Division specializes in ensuring the technology that STR creates produces outsized mission impact. Staff within the MA group have a deep understanding of missions and technology needs for national security with skills targeting transition of technology to operational use, including product management, UX Product implementation, software integration & mission engineering, platform engineering, DevOps, and program management. MA staff combine with other science and engineering staff from the various STR research and development groups to form dedicated product teams focused on accelerating the operational transition of cutting-edge software technologies. 

The Role: 

A Test Lead coordinates all efforts associated with test, to include test-driven development and implementing automation for various elements of system test.  This approach places a strong emphasis on all aspects of test (unit, integration, and system-level) to ensure STR is fulfilling the end-user's operational needs, thus enabling the success of the overall mission.  Ensuring all facets of system test are accounted for in the end-to-end software development and deployment can significantly improve the impact of STR software. 

We are seeking experienced candidates – preferably, established technical leads with experience as a test lead on a software development program and skill interfacing with teams of developers.

What you will do:

• Lead the development team in designing and implementing integration tests for innovative software services in an agile DevSecOps environment
• Collaborate with program leadership to prioritize test planning and execution activities
• Ongoing work includes developing and maintaining automated system and regression tests and working with program management/staff to identify key system-level test cases
• Hands-on experience with ability to quickly grasp overall system architecture picture is essential

Who You Are: 

• Ability to obtain a Top Secret security clearance with SCI eligibility, for which U.S citizenship is needed by the U.S government
• BS in Computer Science, Information Technology, or related technical field with a minimum of 7+ years of relevant experience. Equivalent experience will be considered.
• Experience with relevant technologies, including:
  • Python
  • Kafka
  • RESTful services
  • Gitlab, specifically Gitlab CI/CD and understanding pipelines
  • Kubernetes (good familiarity with kubectl and experience putting together k8s yml config files)
  • ELK stack tools
  • Docker and docker-compose
  • Java applications (e.g., deployment/configuration)
  • xUnit-based test frameworks, primarily pytest, PyUnit, Jest, and Junit
  • Web-based UI test automation tools (e.g., Selenium, Playwright) 

Even Better:  

• Active Security Clearance at the Top Secret level with SCI Eligibility
• Advanced Degree in Computer Science, Information Technology, or related technical field
• Located near STR offices in Woburn, MA, Arlington, VA, or San Diego, CA, Denver, CO or willing to relocate
• Demonstrated ability to work across DevOps and development teams to find solutions to enable automated testing
• Demonstrated test framework/infrastructure debugging skills, especially debugging microservices deployed to a cloud infrastructure (leverages multiple skills including kubectl, ELK, Docker knowledge
• Ability to fully understand the architecture of the system under test and to identify weak/failure points

Pay Information
Full-Time Salary Range: $175,000 - $240,000

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

About the Team:

STR’s Analytics and Command & Control (AC2) Division focuses on developing actionable, advanced technology solutions to provide asymmetric advantages within the information domain. 

The Mission Applications (MA) Group within the AC2 Division specializes in ensuring the technology that STR creates produces outsized mission impact. Staff within the MA group have a deep understanding of missions and technology needs for national security with skills targeting transition of technology to operational use, including product management, UX Product implementation, software integration & mission engineering, platform engineering, DevOps, and program management. MA staff combine with other science and engineering staff from the various STR research and development groups to form dedicated product teams focused on accelerating the operational transition of cutting-edge software technologies. 

The Role: 

A Test Lead coordinates all efforts associated with test, to include test-driven development and implementing automation for various elements of system test.  This approach places a strong emphasis on all aspects of test (unit, integration, and system-level) to ensure STR is fulfilling the end-user's operational needs, thus enabling the success of the overall mission.  Ensuring all facets of system test are accounted for in the end-to-end software development and deployment can significantly improve the impact of STR software. 

We are seeking experienced candidates – preferably, established technical leads with experience as a test lead on a software development program and skill interfacing with teams of developers.

What you will do:

• Lead the development team in designing and implementing integration tests for innovative software services in an agile DevSecOps environment
• Collaborate with program leadership to prioritize test planning and execution activities
• Ongoing work includes developing and maintaining automated system and regression tests and working with program management/staff to identify key system-level test cases
• Hands-on experience with ability to quickly grasp overall system architecture picture is essential

Who You Are: 

• Ability to obtain a Top Secret security clearance with SCI eligibility, for which U.S citizenship is needed by the U.S government
• BS in Computer Science, Information Technology, or related technical field with a minimum of 7+ years of relevant experience. Equivalent experience will be considered.
• Experience with relevant technologies, including:
  • Python
  • Kafka
  • RESTful services
  • Gitlab, specifically Gitlab CI/CD and understanding pipelines
  • Kubernetes (good familiarity with kubectl and experience putting together k8s yml config files)
  • ELK stack tools
  • Docker and docker-compose
  • Java applications (e.g., deployment/configuration)
  • xUnit-based test frameworks, primarily pytest, PyUnit, Jest, and Junit
  • Web-based UI test automation tools (e.g., Selenium, Playwright) 

Even Better:  

• Active Security Clearance at the Top Secret level with SCI Eligibility
• Advanced Degree in Computer Science, Information Technology, or related technical field
• Located near STR offices in Woburn, MA, Arlington, VA, or San Diego, CA, Denver, CO or willing to relocate
• Demonstrated ability to work across DevOps and development teams to find solutions to enable automated testing
• Demonstrated test framework/infrastructure debugging skills, especially debugging microservices deployed to a cloud infrastructure (leverages multiple skills including kubectl, ELK, Docker knowledge
• Ability to fully understand the architecture of the system under test and to identify weak/failure points

Pay Information
Full-Time Salary Range: $175,000 - $240,000

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

About the Team:

STR’s Analytics and Command & Control (AC2) Division focuses on developing actionable, advanced technology solutions to provide asymmetric advantages within the information domain. 

The Mission Applications (MA) Group within the AC2 Division specializes in ensuring the technology that STR creates produces outsized mission impact. Staff within the MA group have a deep understanding of missions and technology needs for national security with skills targeting transition of technology to operational use, including product management, UX Product implementation, software integration & mission engineering, platform engineering, DevOps, and program management. MA staff combine with other science and engineering staff from the various STR research and development groups to form dedicated product teams focused on accelerating the operational transition of cutting-edge software technologies. 

The Role: 

A Test Lead coordinates all efforts associated with test, to include test-driven development and implementing automation for various elements of system test.  This approach places a strong emphasis on all aspects of test (unit, integration, and system-level) to ensure STR is fulfilling the end-user's operational needs, thus enabling the success of the overall mission.  Ensuring all facets of system test are accounted for in the end-to-end software development and deployment can significantly improve the impact of STR software. 

We are seeking experienced candidates – preferably, established technical leads with experience as a test lead on a software development program and skill interfacing with teams of developers.

What you will do:

• Lead the development team in designing and implementing integration tests for innovative software services in an agile DevSecOps environment
• Collaborate with program leadership to prioritize test planning and execution activities
• Ongoing work includes developing and maintaining automated system and regression tests and working with program management/staff to identify key system-level test cases
• Hands-on experience with ability to quickly grasp overall system architecture picture is essential

Who You Are: 

• Ability to obtain a Top Secret security clearance with SCI eligibility, for which U.S citizenship is needed by the U.S government
• BS in Computer Science, Information Technology, or related technical field with a minimum of 7+ years of relevant experience. Equivalent experience will be considered.
• Experience with relevant technologies, including:
  • Python
  • Kafka
  • RESTful services
  • Gitlab, specifically Gitlab CI/CD and understanding pipelines
  • Kubernetes (good familiarity with kubectl and experience putting together k8s yml config files)
  • ELK stack tools
  • Docker and docker-compose
  • Java applications (e.g., deployment/configuration)
  • xUnit-based test frameworks, primarily pytest, PyUnit, Jest, and Junit
  • Web-based UI test automation tools (e.g., Selenium, Playwright) 

Even Better:  

• Active Security Clearance at the Top Secret level with SCI Eligibility
• Advanced Degree in Computer Science, Information Technology, or related technical field
• Located near STR offices in Woburn, MA, Arlington, VA, or San Diego, CA, Denver, CO or willing to relocate
• Demonstrated ability to work across DevOps and development teams to find solutions to enable automated testing
• Demonstrated test framework/infrastructure debugging skills, especially debugging microservices deployed to a cloud infrastructure (leverages multiple skills including kubectl, ELK, Docker knowledge
• Ability to fully understand the architecture of the system under test and to identify weak/failure points

Pay Information
Full-Time Salary Range: $175,000 - $240,000

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

About the Team:

STR’s Analytics and Command & Control (AC2) Division focuses on developing actionable, advanced technology solutions to provide asymmetric advantages within the information domain. 

The Mission Applications (MA) Group within the AC2 Division specializes in ensuring the technology that STR creates produces outsized mission impact. Staff within the MA group have a deep understanding of missions and technology needs for national security with skills targeting transition of technology to operational use, including product management, UX Product implementation, software integration & mission engineering, platform engineering, DevOps, and program management. MA staff combine with other science and engineering staff from the various STR research and development groups to form dedicated product teams focused on accelerating the operational transition of cutting-edge software technologies. 

The Role: 

A Test Lead coordinates all efforts associated with test, to include test-driven development and implementing automation for various elements of system test.  This approach places a strong emphasis on all aspects of test (unit, integration, and system-level) to ensure STR is fulfilling the end-user's operational needs, thus enabling the success of the overall mission.  Ensuring all facets of system test are accounted for in the end-to-end software development and deployment can significantly improve the impact of STR software. 

We are seeking experienced candidates – preferably, established technical leads with experience as a test lead on a software development program and skill interfacing with teams of developers.

What you will do:

• Lead the development team in designing and implementing integration tests for innovative software services in an agile DevSecOps environment
• Collaborate with program leadership to prioritize test planning and execution activities
• Ongoing work includes developing and maintaining automated system and regression tests and working with program management/staff to identify key system-level test cases
• Hands-on experience with ability to quickly grasp overall system architecture picture is essential

Who You Are: 

• Ability to obtain a Top Secret security clearance with SCI eligibility, for which U.S citizenship is needed by the U.S government
• BS in Computer Science, Information Technology, or related technical field with a minimum of 7+ years of relevant experience. Equivalent experience will be considered.
• Experience with relevant technologies, including:
  • Python
  • Kafka
  • RESTful services
  • Gitlab, specifically Gitlab CI/CD and understanding pipelines
  • Kubernetes (good familiarity with kubectl and experience putting together k8s yml config files)
  • ELK stack tools
  • Docker and docker-compose
  • Java applications (e.g., deployment/configuration)
  • xUnit-based test frameworks, primarily pytest, PyUnit, Jest, and Junit
  • Web-based UI test automation tools (e.g., Selenium, Playwright) 

Even Better:  

• Active Security Clearance at the Top Secret level with SCI Eligibility
• Advanced Degree in Computer Science, Information Technology, or related technical field
• Located near STR offices in Woburn, MA, Arlington, VA, or San Diego, CA, Denver, CO or willing to relocate
• Demonstrated ability to work across DevOps and development teams to find solutions to enable automated testing
• Demonstrated test framework/infrastructure debugging skills, especially debugging microservices deployed to a cloud infrastructure (leverages multiple skills including kubectl, ELK, Docker knowledge
• Ability to fully understand the architecture of the system under test and to identify weak/failure points

Pay Information
Full-Time Salary Range: $175,000 - $240,000

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

At Rockstar Games, we create world-class entertainment experiences. 

Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry.

Rockstar Games is on the lookout for a Build Engineer who possesses a passion for automating processes and supporting infrastructure and tools that support the deployment of client-facing software and services. 

This is a full-time, in-office position based out of Rockstar’s game development studio in Andover, Massachusetts. 

WHAT WE DO

• The Rockstar Games Online Services Team is a passionate development group, focused on growing and maintaining the technology platform that powers Rockstar’s online titles and our ability to deliver world-class player experiences. 
• We design and maintain CI/CD pipelines enabling fast, safe, and repeatable software delivery across all environments. 
• Collaborate with development, operations, security and QA teams to support the development and delivery of robust, high-quality software. 

RESPONSIBILITIES

• Continuous integration and deployment of internal tools and externally facing applications to multiple environments. 
• Management and documentation of deployment processes and automation. 
• Environment management to ensure all needs are covered for testing and development. 
• Collaboration with other Rockstar technology teams across our worldwide studios. 

REQUIREMENTS

• 5+ years of configuration management and engineering for web applications, ideally supporting an Agile development process.
• Experience with automated build tools such as TeamCity, Jenkins, or equivalent.
• Experience defining, implementing, or improving continuous integration and deployment processes.
• Programming experience with an OOP language such as C# or Java.
• Automation skills utilizing a scripting language such as PowerShell, Bash, Python, or similar.
• Knowledge of distributed systems architecture and infrastructure.  
• Adept at managing software release and deployment.
• Proficient in supporting multi-platform application development shops.
• Experience with containerization technology (preferably Docker).
• Experience with source control such as GitHub or Perforce.
• Experience with bug-tracking software.

PLUSES

Please note that these are desirable skills and are not required to apply for the position. 

• Experience with branch and merge strategies. 
• Experience with frontend technologies such as React, NextJs, Webpack or similar. 
• Knowledge of SQL. 

HOW TO APPLY

Please apply with a resume and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process. 

Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process. 

If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.

#LI-SD1

 About the Team:

Information processing and sense-making systems are the lifeblood of national security efforts, facilitating an understanding of the global situation, strategic planning, and tactical execution. The reliability, accessibility, and sophistication of these systems can determine the outcomes of conflicts before they begin. STR’s Analytics and Command & Control (AC2) Division focuses on developing actionable, advanced technology solutions to provide asymmetric advantages within the information domain. 

The Mission Applications (MA) Group within the AC2 Division specializes in ensuring the technology that STR creates produces outsized mission impact. Staff within the MA group have a deep understanding of missions and technology needs for national security with skills targeting transition of technology to operational use, including product management, UX Product implementation, software integration & mission engineering, platform engineering, DevOps, and program management. MA staff combine with other science and engineering staff from the various STR research and development groups to form dedicated product teams focused on accelerating the operational transition of cutting-edge software technologies. 

This role will take advantage of STR’s flexible, hybrid environment – when the work does not require use of STR’s facilities, you are welcome to work remotely. You should expect to spend some portion of time every week (2-3 days) in STR’s facilities.  You can expect to support software applications deployed on classified operational networks that can only be accessed at STR or government facilities.  

The Role: 

As a DevOps Engineer in the Mission Applications Group, you will work as part of tightly knit Agile software teams to design and implement Continuous Integration/ Continuous Deployment (CI/CD) pipelines for various unique deployment environments.  

What you will do:

• Support cloud (e.g., AWS) toolsets in unclassified environments
• Configure and maintain multiple CI/CD environments at different classification levels, focusing on developer productivity, application performance, security monitoring, and alerting
• Liaision with corporate IT to ensure team infrastructure toolsets are configured, maintained, reliable, and in compliance with Department of Defense standards
• Coaching team members on DevOps best practices while continuously helping to improve processes 

Who You Are:  

• Active TS/SCI Security Clearance, for which U.S citizenship is required by the U.S government
• BS in Computer Science, Information Technology, or related technical field with 5-7+ years of relevant experience
• Experience with all relevant technologies including:
  • CI/CD tools (Gitlab) and pipeline automation
  • Cloud platforms (such as AWS, Azure, or Google Cloud), and automated provisioning tools (such as Ansible or Chef)
  • Containerization technologies such as Docker and Podman
  • Kubernetes management solutions such as EKS and Rancher
  • Experience deploying, and monitoring Kubernetes clusters and pod configurations
  • Basic knowledge of Linux System Administration
  • Knowledge of Python and Linux Shell
  • Knowledge of Cyber Security fundamentals 

• Organized, detail-oriented, and with an ability to work both independently and collaboratively
• Demonstrated experience as an effective communicator to both technical and non-technical audiences 

Even Better: 

• Advanced Degree in Computer Science, Information Technology, or related technical field 
• Experience in:
  • Full web-service stack, including databases, logging, and monitoring
  • Project tracking tools such as Jira
  • Designing, deploying, and monitoring Kubernetes clusters
  • GitOps tools like ArgoCD or Flux
  • Deploying and maintaining artifact repositories (such as Nexus, Artifactory)
  • Deploying and configuring static and dynamic code analysis tools (such as SonarQube, Coverity)
  • Platforms such as ArgoCD, Flux or TerraForm
  • Leading teams in an Agile/SCRUM software development process
  • Current Security+ Certification 

Pay Information
Full-Time Salary Range: $175,000 - $240,000

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

 About the Team:

Information processing and sense-making systems are the lifeblood of national security efforts, facilitating an understanding of the global situation, strategic planning, and tactical execution. The reliability, accessibility, and sophistication of these systems can determine the outcomes of conflicts before they begin. STR’s Analytics and Command & Control (AC2) Division focuses on developing actionable, advanced technology solutions to provide asymmetric advantages within the information domain. 

The Mission Applications (MA) Group within the AC2 Division specializes in ensuring the technology that STR creates produces outsized mission impact. Staff within the MA group have a deep understanding of missions and technology needs for national security with skills targeting transition of technology to operational use, including product management, UX Product implementation, software integration & mission engineering, platform engineering, DevOps, and program management. MA staff combine with other science and engineering staff from the various STR research and development groups to form dedicated product teams focused on accelerating the operational transition of cutting-edge software technologies. 

This role will take advantage of STR’s flexible, hybrid environment – when the work does not require use of STR’s facilities, you are welcome to work remotely. You should expect to spend some portion of time every week (2-3 days) in STR’s facilities.  You can expect to support software applications deployed on classified operational networks that can only be accessed at STR or government facilities.  

The Role: 

As a DevOps Engineer in the Mission Applications Group, you will work as part of tightly knit Agile software teams to design and implement Continuous Integration/ Continuous Deployment (CI/CD) pipelines for various unique deployment environments.  

What you will do:

• Support cloud (e.g., AWS) toolsets in unclassified environments
• Configure and maintain multiple CI/CD environments at different classification levels, focusing on developer productivity, application performance, security monitoring, and alerting
• Liaision with corporate IT to ensure team infrastructure toolsets are configured, maintained, reliable, and in compliance with Department of Defense standards
• Coaching team members on DevOps best practices while continuously helping to improve processes 

Who You Are:  

• Active TS/SCI Security Clearance, for which U.S citizenship is required by the U.S government
• BS in Computer Science, Information Technology, or related technical field with 5-7+ years of relevant experience.
• Experience with all relevant technologies including:
  • CI/CD tools (Gitlab) and pipeline automation
  • Cloud platforms (such as AWS, Azure, or Google Cloud), and automated provisioning tools (such as Ansible or Chef)
  • Containerization technologies such as Docker and Podman
  • Kubernetes management solutions such as EKS and Rancher
  • Experience deploying, and monitoring Kubernetes clusters and pod configurations
  • Basic knowledge of Linux System Administration
  • Knowledge of Python and Linux Shell
  • Knowledge of Cyber Security fundamentals 

• Organized, detail-oriented, and with an ability to work both independently and collaboratively
• Demonstrated experience as an effective communicator to both technical and non-technical audiences 

Even Better: 

• Advanced Degree in Computer Science, Information Technology, or related technical field 
• Experience in:
  • Full web-service stack, including databases, logging, and monitoring
  • Project tracking tools such as Jira
  • Designing, deploying, and monitoring Kubernetes clusters
  • GitOps tools like ArgoCD or Flux
  • Deploying and maintaining artifact repositories (such as Nexus, Artifactory)
  • Deploying and configuring static and dynamic code analysis tools (such as SonarQube, Coverity)
  • Platforms such as ArgoCD, Flux or TerraForm
  • Leading teams in an Agile/SCRUM software development process
  • Current Security+ Certification 

Pay Information
Full-Time Salary Range: $175,000 - $240,000

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

 About the Team:

Information processing and sense-making systems are the lifeblood of national security efforts, facilitating an understanding of the global situation, strategic planning, and tactical execution. The reliability, accessibility, and sophistication of these systems can determine the outcomes of conflicts before they begin. STR’s Analytics and Command & Control (AC2) Division focuses on developing actionable, advanced technology solutions to provide asymmetric advantages within the information domain. 

The Mission Applications (MA) Group within the AC2 Division specializes in ensuring the technology that STR creates produces outsized mission impact. Staff within the MA group have a deep understanding of missions and technology needs for national security with skills targeting transition of technology to operational use, including product management, UX Product implementation, software integration & mission engineering, platform engineering, DevOps, and program management. MA staff combine with other science and engineering staff from the various STR research and development groups to form dedicated product teams focused on accelerating the operational transition of cutting-edge software technologies. 

This role will take advantage of STR’s flexible, hybrid environment – when the work does not require use of STR’s facilities, you are welcome to work remotely. You should expect to spend some portion of time every week (2-3 days) in STR’s facilities.  You can expect to support software applications deployed on classified operational networks that can only be accessed at STR or government facilities.  

The Role: 

As a DevOps Engineer in the Mission Applications Group, you will work as part of tightly knit Agile software teams to design and implement Continuous Integration/ Continuous Deployment (CI/CD) pipelines for various unique deployment environments.  

What you will do:

• Support cloud (e.g., AWS) toolsets in unclassified environments
• Configure and maintain multiple CI/CD environments at different classification levels, focusing on developer productivity, application performance, security monitoring, and alerting
• Liaision with corporate IT to ensure team infrastructure toolsets are configured, maintained, reliable, and in compliance with Department of Defense standards
• Coaching team members on DevOps best practices while continuously helping to improve processes 

Who You Are:  

• Active TS/SCI Security Clearance, for which U.S citizenship is required by the U.S government
• BS in Computer Science, Information Technology, or related technical field with 5-7+ years of relevant experience
• Experience with all relevant technologies including:
  • CI/CD tools (Gitlab) and pipeline automation
  • Cloud platforms (such as AWS, Azure, or Google Cloud), and automated provisioning tools (such as Ansible or Chef)
  • Containerization technologies such as Docker and Podman
  • Kubernetes management solutions such as EKS and Rancher
  • Experience deploying, and monitoring Kubernetes clusters and pod configurations
  • Basic knowledge of Linux System Administration
  • Knowledge of Python and Linux Shell
  • Knowledge of Cyber Security fundamentals 

• Organized, detail-oriented, and with an ability to work both independently and collaboratively
• Demonstrated experience as an effective communicator to both technical and non-technical audiences 

Even Better: 

• Advanced Degree in Computer Science, Information Technology, or related technical field 
• Experience in:
  • Full web-service stack, including databases, logging, and monitoring
  • Project tracking tools such as Jira
  • Designing, deploying, and monitoring Kubernetes clusters
  • GitOps tools like ArgoCD or Flux
  • Deploying and maintaining artifact repositories (such as Nexus, Artifactory)
  • Deploying and configuring static and dynamic code analysis tools (such as SonarQube, Coverity)
  • Platforms such as ArgoCD, Flux or TerraForm
  • Leading teams in an Agile/SCRUM software development process
  • Current Security+ Certification 

Pay Information
Full-Time Salary Range: $175,000 - $240,000

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

 About the Team:

Information processing and sense-making systems are the lifeblood of national security efforts, facilitating an understanding of the global situation, strategic planning, and tactical execution. The reliability, accessibility, and sophistication of these systems can determine the outcomes of conflicts before they begin. STR’s Analytics and Command & Control (AC2) Division focuses on developing actionable, advanced technology solutions to provide asymmetric advantages within the information domain. 

The Mission Applications (MA) Group within the AC2 Division specializes in ensuring the technology that STR creates produces outsized mission impact. Staff within the MA group have a deep understanding of missions and technology needs for national security with skills targeting transition of technology to operational use, including product management, UX Product implementation, software integration & mission engineering, platform engineering, DevOps, and program management. MA staff combine with other science and engineering staff from the various STR research and development groups to form dedicated product teams focused on accelerating the operational transition of cutting-edge software technologies. 

This role will take advantage of STR’s flexible, hybrid environment – when the work does not require use of STR’s facilities, you are welcome to work remotely. You should expect to spend some portion of time every week (2-3 days) in STR’s facilities.  You can expect to support software applications deployed on classified operational networks that can only be accessed at STR or government facilities.  

The Role: 

As a DevOps Engineer in the Mission Applications Group, you will work as part of tightly knit Agile software teams to design and implement Continuous Integration/ Continuous Deployment (CI/CD) pipelines for various unique deployment environments.  

What you will do:

• Support cloud (e.g., AWS) toolsets in unclassified environments
• Configure and maintain multiple CI/CD environments at different classification levels, focusing on developer productivity, application performance, security monitoring, and alerting
• Liaision with corporate IT to ensure team infrastructure toolsets are configured, maintained, reliable, and in compliance with Department of Defense standards
• Coaching team members on DevOps best practices while continuously helping to improve processes 

Who You Are:  

• Active TS/SCI Security Clearance, for which U.S citizenship is required by the U.S government
• BS in Computer Science, Information Technology, or related technical field with 5-7+ years of relevant experience
• Experience with all relevant technologies including:
  • CI/CD tools (Gitlab) and pipeline automation
  • Cloud platforms (such as AWS, Azure, or Google Cloud), and automated provisioning tools (such as Ansible or Chef)
  • Containerization technologies such as Docker and Podman
  • Kubernetes management solutions such as EKS and Rancher
  • Experience deploying, and monitoring Kubernetes clusters and pod configurations
  • Basic knowledge of Linux System Administration
  • Knowledge of Python and Linux Shell
  • Knowledge of Cyber Security fundamentals 

• Organized, detail-oriented, and with an ability to work both independently and collaboratively
• Demonstrated experience as an effective communicator to both technical and non-technical audiences 

Even Better: 

• Advanced Degree in Computer Science, Information Technology, or related technical field 
• Experience in:
  • Full web-service stack, including databases, logging, and monitoring
  • Project tracking tools such as Jira
  • Designing, deploying, and monitoring Kubernetes clusters
  • GitOps tools like ArgoCD or Flux
  • Deploying and maintaining artifact repositories (such as Nexus, Artifactory)
  • Deploying and configuring static and dynamic code analysis tools (such as SonarQube, Coverity)
  • Platforms such as ArgoCD, Flux or TerraForm
  • Leading teams in an Agile/SCRUM software development process
  • Current Security+ Certification 

Pay Information
Full-Time Salary Range: $175,000 - $240,000

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

STR is hiring an Emulation Tooling and Modeling Software Engineer to be part of a multidisciplinary team of researchers and engineers dedicated to developing cutting-edge technologies with significant and immediate impact on our national security. This position offers an excellent opportunity to work at the nexus of computers and real-world physical systems. We believe that each employee has a unique set of skills, experiences, and perspectives that are essential to providing our customers with innovative solutions. The skills listed below are representative of those needed for this role but are not the only acceptable set. If you see an overlap with your skills, go ahead and apply!

The Emulation Tooling and Modeling Software Engineer must be proficient in one or more of the high-level languages (C/C++, Python) used for building the underlying tools that support the development of emulation models of complex cyber physical systems. Successful candidates will have experience in reverse engineering of embedded instruction set architectures (e.g., ARM, PPC) and a desire to develop required emulator tooling across a diverse class of targets of interest. The ability to develop tools such as operating system handlers, bare metal firmware emulation, and virtual device simulation are key to support the emulation of representative signal processing and control systems components and algorithms. Such components will be prototyped with time and event-driven simulations and implemented on real-time hardware systems.

The Emulation Tooling and Modeling Software Engineer will also support model development for sensors, actuators, dynamics and environmental factors from first principles, measured data, available documentation/literature and hardware/software artifacts. The quality and validity of the models are ensured using unit testing and effective operation after integrating the modules into larger system simulations. Knowledge and experience developing modular code compliant with well-defined component message/protocol interfaces is highly relevant. Models often include both hardware and software elements, and experience working at the software/hardware interface (e.g., serial, USB, data acquisition subsystems and device drivers) is particularly useful.

What you will do: 

• Working as part of a small, focused team to architect, develop, implement, and test applications featuring modular software design principles
• Developing bare metal emulators in C/C++, Python as well as unit tests for verification of capabilities
• Developing emulator capabilities and unit tests to increase overall feature capabilities to develop advanced models
• Implementing component models in Python/C/C++, and integrating models into system-level simulations with software processing chains, including development of unit-level and system-level tests and verification
• Developing integrated models using virtualization tools (e.g., QEMU, Docker), that are networked together, and launched using scripting tools (e.g. bash, python)
• Communicating technical foundations of models and algorithms through reports and briefings

Who you are:

• This position requires an Active Secret security clearance with eligibility for Top Secret (TS) clearance, for which U.S. citizenship is needed by U.S. Government. 
• Proficiency in C/C++ and Python
• Familiarity with virtualization tools (e.g. Docker, QEMU)
• Strong grasp of emulation principles, computer architecture, and software engineering principles
• Experience working with hardware components and interfaces.
• Experience using collaborative source code management (Git, Subversion)

Education:

• BS in Computer Engineering, Computers Science, Electrical Engineering or related field

Nice to have:

• Active Top Secret (TS) Security Clearance
• Familiarity with network architectures and protocols
• Implant or software patch development
• Masters or PhD in related field 

Pay Information
Full-Time Salary Range: $112,000 - $154,000

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

STR is hiring an Emulation Tooling and Modeling Software Engineer to be part of a multidisciplinary team of researchers and engineers dedicated to developing cutting-edge technologies with significant and immediate impact on our national security. This position offers an excellent opportunity to work at the nexus of computers and real-world physical systems. We believe that each employee has a unique set of skills, experiences, and perspectives that are essential to providing our customers with innovative solutions. The skills listed below are representative of those needed for this role but are not the only acceptable set. If you see an overlap with your skills, go ahead and apply!

The Emulation Tooling and Modeling Software Engineer must be proficient in one or more of the high-level languages (C/C++, Python) used for building the underlying tools that support the development of emulation models of complex cyber physical systems. Successful candidates will have experience in reverse engineering of embedded instruction set architectures (e.g., ARM, PPC) and a desire to develop required emulator tooling across a diverse class of targets of interest. The ability to develop tools such as operating system handlers, bare metal firmware emulation, and virtual device simulation are key to support the emulation of representative signal processing and control systems components and algorithms. Such components will be prototyped with time and event-driven simulations and implemented on real-time hardware systems.

The Emulation Tooling and Modeling Software Engineer will also support model development for sensors, actuators, dynamics and environmental factors from first principles, measured data, available documentation/literature and hardware/software artifacts. The quality and validity of the models are ensured using unit testing and effective operation after integrating the modules into larger system simulations. Knowledge and experience developing modular code compliant with well-defined component message/protocol interfaces is highly relevant. Models often include both hardware and software elements, and experience working at the software/hardware interface (e.g., serial, USB, data acquisition subsystems and device drivers) is particularly useful.

What you will do: 

• Working as part of a small, focused team to architect, develop, implement, and test applications featuring modular software design principles
• Developing bare metal emulators in C/C++, Python as well as unit tests for verification of capabilities
• Developing emulator capabilities and unit tests to increase overall feature capabilities to develop advanced models
• Implementing component models in Python/C/C++, and integrating models into system-level simulations with software processing chains, including development of unit-level and system-level tests and verification
• Developing integrated models using virtualization tools (e.g., QEMU, Docker), that are networked together, and launched using scripting tools (e.g. bash, python)
• Communicating technical foundations of models and algorithms through reports and briefings

Who you are:

• This position requires an Active Secret security clearance with eligibility for Top Secret (TS) clearance, for which U.S. citizenship is needed by U.S. Government. 
• Proficiency in C/C++ and Python
• Familiarity with virtualization tools (e.g. Docker, QEMU)
• Strong grasp of emulation principles, computer architecture, and software engineering principles
• Experience working with hardware components and interfaces.
• Experience using collaborative source code management (Git, Subversion)

Education:

• BS in Computer Engineering, Computers Science, Electrical Engineering or related field

Nice to have:

• Active Top Secret (TS) Security Clearance
• Familiarity with network architectures and protocols
• Implant or software patch development
• Masters or PhD in related field 

Pay Information
Full-Time Salary Range: $112,000 - $154,000

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

About SHEIN 

SHEIN is a global online fashion and lifestyle retailer, offering SHEIN branded apparel and products from a global network of vendors, all at affordable prices. Headquartered in Singapore, with more than 15,000 employees operating from offices around the world, SHEIN is committed to making the beauty of fashion accessible to all, promoting its industry-leading, on-demand production methodology, for a smarter, future-ready industry. 

Position Summary 

We’re seeking a full-time Technical Director for Data Engineering and Intelligence (Official Title: Director I, Data Engineering and Intelligence) for our San Diego-based corporate office, who will lead and oversee our US data engineering, intelligence, and infrastructure teams. This is a technical leadership role where you will drive innovation, mentor engineers, supervise operations, and shape the future of SHEIN’s data ecosystem. Reporting directly to the CTO, you will shape the company’s data technology strategy, architecture, and operations at scale.

Job Responsibilities 

Technical Leadership & Innovation

• A strong ability to leverage AI to drive large-scale automation and lead AI-driven transformation across data engineering and intelligence practices, with hands-on familiarity with modern AI-native development tools (e.g., Claude Code).

• Prior experience as a data or technology leader (e.g., tech lead or architect) is required. We are looking for someone who not only has deep knowledge of modern data infrastructure, but also brings strong perspectives and ideas—someone who can provide guidance, influence technical direction, and serve as a thought leader to help evolve and strengthen our ecosystem.

People Management

• The role is expected to balance approximately 50% leadership and team management with 50% focus on driving technology advancement and providing technical thought leadership.

• You will be expected to lead a team of 10–20 engineers, overseeing recruiting, career development, performance management, and team structure for the engineering organization.

Strategic Collaboration 

• Partner closely with the CTO to define and execute long-term data technology initiatives, including infrastructure modernization, AI transformation, and operational excellence.

Global Operations & Cross-Regional Collaboration

• Lead and optimize U.S.-based data operations while working closely with teams across APAC and global headquarters to align workflows and strengthen global data capabilities. The role requires strong cross-cultural leadership and organizational influence—someone who can build trust across regions, navigate complex organizational structures, and effectively collaborate across cultural and functional boundaries to drive alignment and progress.

Data Infrastructure & Best Practices

• Architect, build, and refine large-scale data pipelines and cloud-based infrastructure solutions, ensuring they meet best practices and regulatory requirements.

 Job Requirements 

• Master’s degree in Computer Science or a related field.
• 5+ years of industry experience in data engineering, data infrastructure, or software development (8+ years preferred). 
• 2+ years of engineering management experience (3+ years preferred), with a demonstrated ability to lead, mentor, and grow engineering teams.
• Deep expertise in modern cloud platforms and large-scale data infrastructure, including technologies within the MapReduce ecosystem and distributed data processing frameworks
• Hands-on familiarity with modern AI technologies and AI-native development tools (e.g., Claude Code, MCP, and related tooling).
• Proven ability to operate and improve large-scale technical systems, including diagnosing complex infrastructure and data quality issues and implementing scalable solutions.
• Strong computer science fundamentals, particularly in Linux systems, networking, and SQL.
• Proficiency in scripting and automation, especially using Python and Bash (these skills will be assessed during the interview process).
• Experience working with containerized and distributed systems such as Kubernetes and Docker, as well as designing high-availability architectures.
• At least 3 years of experience collaborating with APAC-based teams or other international engineering organizations.

Nice to Have

• Experience with Azure.  
• Experience managing people leaders 
• Knowledge of data streaming technologies (e.g., Flink, Hive).  
• Prior experience in the eCommerce space. 
• Bilingual in Mandarin. 

Benefits and Perks 

• Bonus and RSU eligible
• Healthcare (medical, dental, vision, prescription drugs) 
• Health Savings Account with Employer Funding 
• Flexible Spending Accounts (Healthcare and Dependent care) 
• Company-Paid Basic Life/AD&D insurance 
• Company-Paid Short-Term and Long-Term Disability 
• Voluntary Benefit Offerings (Voluntary Life/AD&D, Hospital Indemnity, Critical Illness, and Accident) 
• Employee Assistance Program 
• Business Travel Accident Insurance 
• 401(k) Savings Plan with discretionary company match and access to a financial advisor  
• Vacation, paid holidays, floating holiday and sick days   
• Employee discounts 
• Free weekly catered lunch 
• Dog-friendly office (available at select locations) 
• Free gym access (available at select locations) 
• Free swag giveaways 
• Annual Holiday Party 
• Invitations to pop-ups and other company events 
• Complimentary daily office snacks and beverages

#LI-YC1 

What You Will Contribute To Altos

Altos Labs is building a world-class AI ecosystem to solve the most complex problems in human biology. You will directly design and build high-performance, scalable solutions that unify high-dimensional biomedical imaging with molecular and language data.

By implementing large-scale multimodal data fusion, you will move beyond simple image analysis to create predictive models that map across biological domains. You will be hands-on with the data and the code, collaborating with our engineering team to ensure these models are scalable, efficiently trainable on distributed cloud infrastructure, and accessible to our global research community.

Responsibilities

• Model Development: Design, code, and train large-scale foundation models (e.g., Vision Transformers, Multimodal LLMs) that can embed spatial data and integrate multiple modalities.
• Hands-on Data Fusion: Implement innovative cross-domain mapping and fusion strategies to synchronize heterogeneous biological datasets.
• Scaling & Training: Build and manage high-performance ML pipelines capable of processing petabyte-scale image repositories and multi-omics streams in a cloud environment.
• Technical Collaboration: Work directly in the trenches with experimental scientists and software engineers to translate biological complexity into performant code and reliable distributed systems.

Who You Are

We are looking for a technical specialist who thrives on solving "unsolvable" problems through code and rigorous experimentation. We are open to candidates at the Scientist I, Scientist II, or Senior Scientist level based on technical expertise.

Minimum Qualifications

• Education: PhD in Computer Science, AI/ML, Biomedical Engineering, or a related quantitative field.
• Hands-on CV Expertise: Deep experience building and deploying modern Computer Vision architectures (Vision Transformers, U-Nets, Self-Supervised Learning).
• Distributed Training: Proven experience training and fine-tuning large models at scale using frameworks like PyTorch Distributed, DeepSpeed, or Jax.
• Programming Mastery: Expert-level Python skills, with a focus on building production-ready machine learning code and large-scale data management systems.
• Scientific Contributions: A track record of technical contributions via high-impact publications (CVPR, ICCV, NeurIPS, etc.) or significant contributions to open-source ML frameworks.

Preferred Qualifications

• Direct experience with Multimodal Fusion (e.g., aligning image embeddings with transcriptomic or proteomic data).
• Proficiency with cloud-native AI tools (AWS/GCP, Kubernetes, Docker) and building automated MLOps workflows.
• Experience handling the unique noise and sparsity of biological data.

The salary range for Redwood City, CA:

• Scientist I, Machine Learning: $200,900 - $257,500
• Scientist II, Machine Learning: $226,200 - $290,000
• Senior Scientist I, Machine Learning: $257,400 - $330,000

The salary range for San Diego, CA:

• Scientist I, Machine Learning: $179,400 - $230,000
• Scientist II, Machine Learning: $212,900 - $273,000
• Senior Scientist I, Machine Learning: $239,500 - $307,000

#LI-NN1

Exact compensation may vary based on skills, experience, and location.

For UK applicants, before submitting your application:

- Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice)
- This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.

At Rockstar Games, we create world-class entertainment experiences. 

Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. Rockstar San Diego is on the lookout for a Senior Tools Programmers who possess a passion for Tools development and improving workflows.

This is a full-time, in-office position based out of Rockstar’s new state-of-the-art game development studio in Carlsbad, CA. 

WHAT WE DO

• We build and maintain software tools that are used by all game development disciplines to support the creation of all Rockstar Games projects.
• These software tools range from digital content exporters, a data processing asset pipeline to game, CI/CD automation systems and UI editors.

RESPONSIBILITIES

• Design and build high performance and easy to use functionality in our frontend world editors and their corresponding backend APIs.
• Collaborate and support artists, programmers and designers with how to best use our tooling and to design and develop new applications, technology and workflows to meet their needs.
• Work with other experienced team members to research and define software architectural patterns and frameworks to use for building our internal tooling.
• Collaborate closely with your Lead and team to support delivering internal tool features and fixes including technical discussion, following processes, and reviewing code.
• Maintain the team’s existing codebase and deliver high-quality, time-effective solutions whilst being practical for long-term support.

REQUIREMENTS

• Experience of system or application ownership; inclusive of requirements gathering, system design, and delivering significant contributions to code.
• Strong C#/.NET skills.
• Strong problem solving skills.
• Demonstrated debugging skills.
• Excellent communication and teamwork skills.
• Experience working with WPF, XAML and the MVVM pattern.
• Ability to work within a schedule and deliver effectively to deadlines

PLUSES

Please note that these are desirable skills and are not required to apply for the position.

• Experience working with SQL/NoSQL databases.
• Familiarity with one or more RPC frameworks such as WCF or gRPC.
• Familiarity with one or more ORM frameworks such as NHibernate or Entity Framework.
• Experience working with Docker.
• Experience with automation and CI/CD systems.
• Games industry experience working on AAA titles.

HOW TO APPLY

Please apply with a resume and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process.

Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process.                                   

If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.

#LI-SD1

At Element Biosciences, we are passionate about our mission to empower the scientific community with more freedom and flexibility to accelerate our collective impact on humanity. We have built a highly efficient product-driven organization where employees can learn, grow, and thrive in a challenging but encouraging environment. We are committed to scientific integrity, collegiality, honesty, objectivity, and openness.

We are seeking an experienced Senior Field Application Bioinformatics Scientist who will play a pivotal role supporting our growing global customer base. This is an incredible opportunity for someone who is passionate about seeing customer success and winning for the company. We are looking for candidates with a solid background in NGS and cell biology bioinformatics. The hired candidate will need to be physically located in San Diego and be willing to remotely support customers around the globe. This role will report to the Director of Global Field Applications and will be a role at our San Diego headquarters.

If you possess the following and want to make a meaningful impact, we invite you to explore this role.

Essential Functions and Responsibilities:

• Troubleshooting issues related to customers’ bioinformatics pipeline for both NGS and multiomics
• Supporting commercial team with their software applications and providing high level product training
• Displaying professionalism, understanding, tact, fairness, and technical knowledge in all customer interactions
• Providing strategic and competitive feedback to marketing and product development teams
• Working independently on significant and unique issues requiring collaboration with key decision-makers and senior managers across the organization which may impact future products, concepts, and technologies
• Delivering remote customer training and workshops
• Utilizing service CRM software to accurately identify and document customer opportunities
• Collaborating with internal partners to resolve customer issues and improve processes
• Infrequent travel to customer sites and commercial meetings is required

Education and Experience:

• PhD in Bioinformatics, Computational Biology, Genomics, or related field
• Minimum of 1 year of industry experience in NGS and multiomics pipelines strongly preferred
• Background in computer science, bioinformatics, computational biology, mathematics, or related fields
• Exceptional development skills, especially in the implementation of novel algorithms
• Proficiency in scripting with Python
• Knowledge of cloud and related technologies (AWS, Docker) desired
• Must be highly motivated and have strong problem-solving ability
• Excellent communication and strong relationship building skills
• Highly collaborative and adaptable; able to work well within multidisciplinary teams
• High degree of comfort navigating technical project discussions
• Must be able to work independently and as a team player
• Demonstrated account management skills

Physical Requirements:

• Frequently moves boxes weighing up to 20 pounds
• Must be flexible in working hours as this position may require customer support during non-regular business hours

Location:

• San Diego - Headquarters

Travel: 

• Domestic/International travel up to 10%

Job Type:

• Full-time/Exempt

Base Compensation Pay Range:

• $118,000 - $144,000

In addition to base compensation noted above, you will be eligible for stock options, discretionary annual bonus, no cost health insurance plans, 401k with company match, and flexible paid time off. 

Please note: Base compensation will depend on multiple factors, including geographic location, qualifications, and experience. 

We foster an environment such that all people are afforded the freedom to pursue their passions without regard to race, color, religion, national or ethnic origin, gender (including pregnancy), sexual orientation, gender identity or expression, age, disability, veteran status or any other characteristics protected by law.