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This role is crucial in ensuring that each initiative aligns with the company&#39;s strategic direction and receives the appropriate resourcing, balancing innovation with practical execution to drive the business line&#39;s success.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Owning customer success through the design and delivery of a fully operational mission system for a new maritime platform.</li>\n<li>Partnering with the Vehicle Software team to develop core sensor, actuator, and vehicle system functionality.</li>\n<li>Driving architecture selection and design for robotic mission systems, including hardware selection, compute, storage, and network architecture.</li>\n<li>Contributing to the design and development of a company-wide roadmap for mission system integration into maritime platforms.</li>\n<li>Leading teams that develop software that runs on- and off-platform, using a variety of technologies.</li>\n<li>Driving the design and implementation of development processes for the initial delivery and subsequent iteration of mission software, including full lifecycle testing.</li>\n<li>Supporting vehicle manufacturing and deployment.</li>\n<li>Leading teams of multi-disciplinary engineers, including as a mentor for Senior Software Engineers from differing backgrounds.</li>\n</ul>\n<p>Required qualifications include:</p>\n<ul>\n<li>Experience in a senior role for the delivery of a military mission system.</li>\n<li>Experience with the development and sustainment of distributed software platform and application architectures, running under dynamic network topologies.</li>\n<li>Experience with modeling and simulation.</li>\n<li>Experience with development of high assurance safety-critical software.</li>\n<li>Experience with development of comprehensive unit test and regression.</li>\n<li>Deep understanding of autonomous weapons systems, inclusive of payload capabilities and both commercial and military mission sets.</li>\n<li>Experience within the product delivery lifecycle including manufacturing, system acceptance, deployment, and sustainment.</li>\n<li>Familiarity with vehicle management systems.</li>\n<li>Familiarity with System Engineering concepts.</li>\n</ul>\n<p>Preferred qualifications include:</p>\n<ul>\n<li>Bachelor&#39;s degree in Robotics, Mechatronics, Computer Science, Engineering, or a relevant field.</li>\n<li>Experience in a leadership position within a high-performing technology organization.</li>\n<li>Systems and/or application programming skills including algorithms, data structures, concurrency, and optimization.</li>\n<li>Experience troubleshooting and analyzing remotely deployed software systems.</li>\n<li>Capacity to work holistically on software-enabled capabilities up and down the software stack and through lifecycle through design, implementation, operation, and sustainment.</li>\n<li>Capacity to act as the technical owner for an entire mission system, including stakeholder and customer engagement, 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In this role, you will design and develop the core decision-making and autonomy software that powers our autonomous underwater vehicles.</p>\n<p>You will lead the architecture, implementation, and deployment of the logic that enables these systems to understand their environment, navigate safely, respond to obstacles or threats, and execute complex missions with limited human involvement.</p>\n<p>As a technical leader, you will provide hands-on contributions across software development, establishing a long-term software roadmap, and leading the team through execution of that plan.</p>\n<p>Collaborating closely with program leadership and cross-functional teams from other Anduril products, you&#39;ll ensure that designs align with customer requirements while maintaining traceability to program office technical decisions.</p>\n<p>You will act as a subject matter expert in mission systems development and integration, presenting to customers and demonstrating overall system 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through the design and delivery of a fully operational mission system</li>\n</ul>\n<ul>\n<li>Leverage internal product and program-specific engineering teams to rapidly deliver capability beyond the scope of current platforms, with a clear path for both architecture and capability evolution over time</li>\n</ul>\n<ul>\n<li>Generate system solutions to improve reliability, ease-of-use, and capability across a variety of customer missions</li>\n</ul>\n<ul>\n<li>Write and maintain core libraries (frame transformations, targeting and guidance, communications, etc.) that all robotics platforms at Anduril will use</li>\n</ul>\n<ul>\n<li>Own major feature development for Copperhead and manage rollout to the fleet</li>\n</ul>\n<ul>\n<li>Author documents to fulfill specific customer requests, including white papers and reports</li>\n</ul>\n<ul>\n<li>Travel up to 15% of time to build, test, and deploy capabilities in the real world, and collaborate with other teams or end-users</li>\n</ul>\n<p>Required Qualifications:</p>\n<ul>\n<li>Strong engineering background from industry or school, ideally in areas/fields such as Robotics, Computer Science, Software Engineering, Mechatronics, Electrical Engineering, Mathematics, or Physics</li>\n</ul>\n<ul>\n<li>Experience in a leadership position within a high-performing technology organization</li>\n</ul>\n<ul>\n<li>Proven understanding of data structures, algorithms, concurrency, and code optimization</li>\n</ul>\n<ul>\n<li>6+ years of professional C++ or Rust programming experience in a Linux development environment</li>\n</ul>\n<ul>\n<li>Experience troubleshooting and analyzing remotely deployed software systems</li>\n</ul>\n<ul>\n<li>Experience with the development and sustainment of distributed software platform and application architectures, running under dynamic network topologies</li>\n</ul>\n<ul>\n<li>Capacity to work holistically on software-enabled capabilities up and down the software stack and 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$220,000-$292,000 USD</p>\n<p>Required Skills:</p>\n<ul>\n<li>C++</li>\n</ul>\n<ul>\n<li>Rust</li>\n</ul>\n<ul>\n<li>Linux development environment</li>\n</ul>\n<ul>\n<li>Data structures</li>\n</ul>\n<ul>\n<li>Algorithms</li>\n</ul>\n<ul>\n<li>Concurrency</li>\n</ul>\n<ul>\n<li>Code optimization</li>\n</ul>\n<ul>\n<li>Distributed software platform and application architectures</li>\n</ul>\n<ul>\n<li>Dynamic network topologies</li>\n</ul>\n<ul>\n<li>Software-enabled capabilities</li>\n</ul>\n<ul>\n<li>Critical software</li>\n</ul>\n<ul>\n<li>Complex systems</li>\n</ul>\n<ul>\n<li>Modeling and simulation</li>\n</ul>\n<ul>\n<li>High-performance computing</li>\n</ul>\n<ul>\n<li>Network programming</li>\n</ul>\n<ul>\n<li>Fault tolerance</li>\n</ul>\n<ul>\n<li>Fault handling</li>\n</ul>\n<ul>\n<li>DevSecOps</li>\n</ul>\n<ul>\n<li>Sensor integration</li>\n</ul>\n<ul>\n<li>Tracking and estimation</li>\n</ul>\n<ul>\n<li>Motion 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This includes autonomy, simulation, data processing, payload integration, and off-board command and control or decision support.</p>\n<p>As a Manager, Software Engineering, you will be responsible for demonstrating end-to-end outcome ownership of a major system within an integrated product, and the team responsible for building and maintaining it. You will contribute as a team lead to the rapid architecting, design, delivery, support, and evolution of next-generation autonomous platforms through their entire product life-cycle.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Empathizing with end-users and driving solutions that balance their needs with external constraints, restrictions, and requirements in a multi-stakeholder environment</li>\n<li>Being accountable for software-enabled solutions that are deployed to customers, optimizing for the delivery of value to the end-user</li>\n<li>Collaborating with your Technical Lead to architect scalable software that rapidly delivers capability beyond the scope of current platforms, with a clear path for both architecture and capability evolution over time</li>\n<li>Coordinating your team&#39;s roadmap and execution with other teams across Anduril, with the aim of developing components that are reusable across multiple Anduril product lines</li>\n<li>Contributing to the design, implementation, and execution of development processes for the initial delivery and subsequent iteration of vehicle and mission software, including full lifecycle testing, monitoring, and operation</li>\n<li>Managing a 6-18 month roadmap for your team, nested within broader organisational roadmap</li>\n<li>Managing an allocated budget for your team</li>\n<li>Managing programmatic risk for your team, and collaborating with your Technical Lead to manage technical risk, including sound and timely decision making</li>\n<li>Leading by example as a technically competent, trustworthy, and accountable team lead</li>\n<li>Communicating organisational vision, strategy, and direction to your team</li>\n<li>Defining, documenting, gaining consensus for, and communicating appropriate goals and plans for your team, derived from broader organisational vision, strategy, and priorities</li>\n<li>Building your team through mentoring, professional development, career management, and collaboration with 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to system models (SysML/MBSE) with a safety lens.</li>\n<li>Leading and supporting safety analysis activities, including Functional Hazard Assessments (FHA), Failure Mode and Effects Analysis (FMEA), Fault Tree Analysis (FTA), and Failure Mode and Effects Summary (FMES).</li>\n</ul>\n<p>The ideal candidate will have a Bachelor&#39;s degree with approximately 7+ years of relevant experience, or a Master&#39;s degree with approximately 5+ years of relevant experience, in Systems Engineering, Software Engineering, or a closely related technical field.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ad998f02-52b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Shield 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Diego"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"safety-critical software systems, airborne software safety processes, DO-178C, MIL-HDBK-516C, ARP4754A, ARP4761, requirements management tools, CI/CD, automated testing, configuration management, software lifecycle processes, MBSE practices, system modeling tools, autonomy or robotic software systems, safety data management, CI/CD pipelines, automated test frameworks, build systems","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":140000,"maxValue":210000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_401c9dea-e07"},"title":"Staff Engineer, Systems (R4624)","description":"<p>The Hivemind Platform Team at Shield AI is seeking a highly skilled and detail-oriented Systems Modeler to join our team.</p>\n<p>The Hivemind Enterprise product is a software development kit (SDK) that enables scalable design, deployment, evaluation, and iteration of autonomy architectures for a wide range of robotic platforms.</p>\n<p>As a Systems Modeler for Hivemind at Shield AI, you will be a key member of a multidisciplinary Systems Engineering team, working collaboratively with Product, technical individual contributors, and Test / Quality Assurance team members to define, model, and communicate the structure and behavior of complex autonomy software systems.</p>\n<p>This role focuses on building and maintaining system models that span the full product stack,from foundational software and autonomy algorithms to developer infrastructure to user-facing interfaces.</p>\n<p>In addition to modeling the Hivemind SDK product, you will also use your skills to help us improve our internal engineering processes, modeling the design of the systems that support product development such as CI/CD pipelines, test and configuration systems, and software and product life cycle processes.</p>\n<p>While your primary focus will be systems modeling, as part of a full Systems Engineering team, you will also support your team members as needed by helping with functions such as requirements development.</p>\n<p>This role is hands-on and highly collaborative, requiring deep expertise in systems modeling and Model-Based Systems Engineering (MBSE), strong software system intuition, and working knowledge of autonomous software pipelines.</p>\n<p>As a Systems Modeler on the Hivemind team, you will help create a shared, rigorous understanding of one of Shield AI’s most complex and critical software products.</p>\n<p>Your models will shape architecture decisions, enable cross-team alignment, and ensure that Hivemind continues to scale as a robust autonomy platform.</p>\n<p><strong>WHAT YOU&#39;LL DO:</strong></p>\n<p><strong>System modeling and MBSE:</strong> Develop and maintain high-quality system models that describe architecture, behavior, interfaces, and data flows across the Hivemind SDK.</p>\n<p><strong>Cross-stack system understanding:</strong> Work closely with engineers across the entire product stack,including foundational software, autonomy and AI algorithms, simulation and test infrastructure, and GUI layers,to capture an accurate and fully detailed model of the Hivemind SDK product.</p>\n<p>Process and lifecycle modeling: Model internal engineering processes such as software development lifecycle workflows, CI/CD pipelines, testing and release processes, and configuration management to improve shared understanding and enable continuous improvement.</p>\n<p><strong>Architecture definition and analysis</strong>: Support system architecture trade studies, identify dependencies and constraints, and analyze impacts of design decisions across software components, development workflows, and operational use cases.</p>\n<p>Requirements support: Ensure alignment and traceability between requirements and system models.</p>\n<p><strong>Communication and documentation:</strong> Use system models as a primary communication artifact to align stakeholders, surface risks and gaps, and enable informed technical decision-making across teams.</p>\n<p><strong>REQUIRED QUALIFICATIONS:</strong></p>\n<ul>\n<li>Bachelor’s degree with approximately 7+ years of relevant experience, or Master’s degree with approximately 5+ years of relevant experience, in Systems Engineering, Aerospace Engineering, Robotics, Software Engineering, or a closely related technical field with demonstrated experience working on complex software or autonomous systems.</li>\n</ul>\n<ul>\n<li>Strong experience with MBSE practices, including practical application of SysML v1.6 and familiarity with SysML v2 concepts.</li>\n</ul>\n<ul>\n<li>Hands-on experience with Cameo Systems Modeler or equivalent MBSE tools.</li>\n</ul>\n<ul>\n<li>Proven ability to understand, model, and reason about large-scale autonomy software systems and developer-focused SDKs.</li>\n</ul>\n<ul>\n<li>Strong understanding of modern software engineering practices, including CI/CD, automated testing, configuration management, and software lifecycle processes.</li>\n</ul>\n<ul>\n<li>Experience working cross-functionally with software engineers, autonomy / AI engineers, test engineers, product managers, and UX / GUI teams.</li>\n</ul>\n<ul>\n<li>Familiarity with requirements engineering concepts (e.g., requirement quality, traceability, validation) and willingness to contribute to requirements writing when needed.</li>\n</ul>\n<ul>\n<li>Familiarity with software development workflows in modern languages (C++17 or later, Python, Go, etc.).</li>\n</ul>\n<p><strong>PREFERRED QUALIFICATIONS:</strong></p>\n<ul>\n<li>Prior experience modeling autonomy or robotic systems.</li>\n</ul>\n<ul>\n<li>Experience supporting or defining developer tooling, SDKs, or platforms.</li>\n</ul>\n<ul>\n<li>Exposure to safety-critical or mission-critical software development environments.</li>\n</ul>\n<ul>\n<li>Experience using system models to drive reviews, design milestones, or technical decision forums.</li>\n</ul>\n<ul>\n<li>Experience creating software tooling. For example, scripts to import information into Cameo.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_401c9dea-e07","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Shield AI","sameAs":"https://www.shield.ai","logo":"https://logos.yubhub.co/shield.ai.png"},"x-apply-url":"https://jobs.lever.co/shieldai/82bc8fe9-0672-461c-bb9c-cd6461d17b22","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$141,840 - $212,752 a year","x-skills-required":["Systems Modeling","Model-Based Systems Engineering (MBSE)","SysML v1.6","SysML v2","Cameo Systems Modeler","Autonomous Software Pipelines","CI/CD","Automated Testing","Configuration Management","Software Lifecycle Processes","Requirements Engineering","Software Development Workflows","Modern Languages (C++17 or later, Python, Go, etc.)"],"x-skills-preferred":["Prior experience modeling autonomy or robotic systems","Experience supporting or defining developer tooling, SDKs, or platforms","Exposure to safety-critical or mission-critical software development environments","Experience using system models to drive reviews, design milestones, or technical decision forums","Experience creating software tooling. 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For example, scripts to import information into Cameo","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":141840,"maxValue":212752,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_245fc3eb-ed7"},"title":"Senior Engineer, Systems Test","description":"<p>We&#39;re seeking a Senior Engineer to join our DC-based team. As a Senior Engineer, you&#39;ll focus on simulation-driven testing, automation, documentation, and software quality assurance for Hivemind autonomy. You&#39;ll build and execute comprehensive test frameworks and methodologies to ensure our autonomy stack performs reliably across simulated and real-world mission conditions.</p>\n<p>Shield AI is scaling and growing rapidly. The ideal candidate will demonstrate adaptability, a growth mindset, and a willingness to learn new technologies and methodologies quickly in a fast-paced, evolving environment. This is an opportunity to contribute to something truly remarkable,advancing autonomy that is changing the world,while thriving in a mission-driven, collaborative, and high-performance culture.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Develop automated regression, integration, and system-level tests to ensure Hivemind software quality and stability across releases.</li>\n<li>Identify, reproduce, and diagnose software issues,collaborating closely with development teams to drive fixes and improvements.</li>\n<li>Create and execute test plans and documentation for autonomy software in simulated environments, ensuring mission and safety requirements are met.</li>\n<li>Design, implement, and maintain simulation-based test frameworks to validate Hivemind autonomy behavior and performance.</li>\n<li>Build tools and utilities in Python to automate testing, data processing, and analysis workflows.</li>\n<li>Develop test harnesses and data validation tools for Software-in-the-Loop (SIL) / Hardware-in-the-Loop (HIL) / Vehicle-in-the-Loop (VIL) and simulation environments.</li>\n<li>Contribute to the definition of testing methodologies, metrics, and performance benchmarks for autonomy software validation.</li>\n<li>Support the scaling and reliability of simulation infrastructure used for large-scale software validation.</li>\n<li>Maintain detailed and accurate test documentation, ensuring traceability and knowledge sharing across teams.</li>\n<li>Work with developers to integrate test coverage directly into the development pipeline (CI/CD).</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Aerospace Engineering, or related technical field.</li>\n<li>3–5 years of experience in software integration, testing, or quality assurance, preferably in robotics, aerospace, or autonomous systems.</li>\n<li>Proficiency in Python for test automation, scripting, and data analysis.</li>\n<li>Experience with simulation environments (e.g., Gazebo, Unreal, or custom simulation frameworks) and test automation tools.</li>\n<li>Strong understanding of software testing principles, including integration, regression, and system-level validation.</li>\n<li>Familiarity with continuous integration (CI/CD) and test pipelines (e.g., GitLab CI, Jenkins).</li>\n<li>Excellent analytical, problem-solving, and debugging skills.</li>\n<li>Strong collaboration and communication skills with software and systems teams.</li>\n<li>Adaptability, growth mindset, and willingness to learn new technologies quickly in a fast-paced, scaling environment.</li>\n<li>Self-starter with a sense of urgency, motivation, and comfort operating in ambiguity.</li>\n<li>U.S. Citizenship and ability to obtain and maintain a SECRET clearance.</li>\n</ul>\n<p><strong>Preferences:</strong></p>\n<ul>\n<li>Experience testing autonomous systems, robotics software, or flight autonomy algorithms.</li>\n<li>Familiarity with C++ and software/hardware integration concepts.</li>\n<li>Experience with HIL or VIL test environments.</li>\n<li>Exposure to machine learning or AI-driven autonomy systems.</li>\n<li>Background in simulation infrastructure design, distributed testing, or test data management.</li>\n<li>Quality Assurance (QA) experience, including process definition, metrics, and validation tracking.</li>\n<li>Experience with aerospace, defense, or mission-critical software.</li>\n<li>Active SECRET clearance preferred.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_245fc3eb-ed7","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Shield AI","sameAs":"https://www.shield.ai","logo":"https://logos.yubhub.co/shield.ai.png"},"x-apply-url":"https://jobs.lever.co/shieldai/498f7d45-a951-45ad-aa7f-3f54bf3dd2bb","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$110,000 - 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It is hands-on and highly collaborative, requiring expertise in requirements formulation, traceability, management, systems modeling, and knowledge of autonomous software pipelines.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Work cross-functionally with Product Managers, technical individual contributors, and Quality Assurance team members to translate high-level customer feature requests into clear, detailed technical requirements aligned with product vision and roadmap.</li>\n</ul>\n<ul>\n<li>Identify dependencies, constraints, edge cases, and risks within proposed product or technical requirements.</li>\n</ul>\n<ul>\n<li>Author clear and well-structured documentation, including acceptance criteria, traceability links, and system models.</li>\n</ul>\n<ul>\n<li>Collaborate with the Quality Assurance, Test, and development teams to validate that requirements are implemented correctly.</li>\n</ul>\n<ul>\n<li>Track and manage requirements throughout the development lifecycle.</li>\n</ul>\n<ul>\n<li>Serve as the point of integration between customer intent and engineering execution.</li>\n</ul>\n<p><strong>Qualifications:</strong></p>\n<ul>\n<li>Bachelor’s degree with approximately 7+ years of relevant experience, or Master’s degree with approximately 5+ years of relevant experience, in Systems Engineering, Aerospace Engineering, Robotics, Software Engineering, or a closely related technical field.</li>\n</ul>\n<ul>\n<li>Extensive experience generating product and test requirements for software products.</li>\n</ul>\n<ul>\n<li>Working knowledge of requirements management tools such as DOORS, Jama, or Jira.</li>\n</ul>\n<ul>\n<li>Comprehensive understanding of robotics and autonomy concepts.</li>\n</ul>\n<ul>\n<li>Strong understanding of modern software engineering practices, including CI/CD, automated testing, configuration management, and software lifecycle processes.</li>\n</ul>\n<p><strong>Preferred Qualifications:</strong></p>\n<ul>\n<li>Experience supporting or defining developer tooling, SDKs, or platforms.</li>\n</ul>\n<ul>\n<li>Exposure to safety-critical or mission-critical software development environments.</li>\n</ul>\n<ul>\n<li>Experience creating software tooling or using software APIs for common requirements and project management tools.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_a2d56c03-800","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Shield AI","sameAs":"https://www.shield.ai","logo":"https://logos.yubhub.co/shield.ai.png"},"x-apply-url":"https://jobs.lever.co/shieldai/466470a1-4a1a-4c49-8adc-90cd6358ea76","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$141,834 - $212,752 a year","x-skills-required":["Requirements Engineering","Systems Engineering","Aerospace Engineering","Robotics","Software Engineering","DOORS","Jama","Jira","CI/CD","Automated Testing","Configuration Management","Software Lifecycle Processes"],"x-skills-preferred":["Developer Tooling","SDKs","Platforms","Safety-Critical Software Development Environments","Mission-Critical Software Development Environments","Software APIs","Project Management Tools"],"datePosted":"2026-04-17T13:00:37.513Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Diego"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Requirements Engineering, Systems Engineering, Aerospace Engineering, Robotics, Software Engineering, DOORS, Jama, Jira, CI/CD, Automated Testing, Configuration Management, Software Lifecycle Processes, Developer Tooling, SDKs, Platforms, Safety-Critical Software Development Environments, Mission-Critical Software Development Environments, Software APIs, Project Management Tools","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":141834,"maxValue":212752,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c9678449-2cf"},"title":"Senior C++ Robotics Engineer","description":"<p>About Cyngn</p>\n<p>Cyngn is a publicly-traded autonomous technology company that deploys self-driving industrial vehicles to factories, warehouses, and other facilities throughout North America.</p>\n<p>We are looking for a Senior C++ Robotics Engineer to join our team. As a key member of our engineering team, you will play a vital role in developing and integrating autonomous vehicle systems.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Design and implement robust robotics software using C++ and ROS/ROS2 framework</li>\n<li>Develop and maintain critical system components including state management, health monitoring, and diagnostic tools</li>\n<li>Create and optimize high-performance software for processing sensor data from LiDAR, cameras, and other perception systems</li>\n<li>Implement and maintain CAN bus communications and firmware update systems</li>\n<li>Configure and optimize container environments for various autonomous vehicle components</li>\n<li>Develop and maintain system provisioning and configuration management tools</li>\n<li>Implement performance profiling and optimization across the autonomous vehicle stack</li>\n<li>Create and maintain automated testing and validation frameworks for system integration</li>\n<li>Troubleshoot complex system issues across hardware, software, and network interfaces</li>\n<li>Collaborate with cross-functional teams to integrate perception, localization, and control systems</li>\n</ul>\n<p>Requirements</p>\n<ul>\n<li>5+ years of experience in robotics software development or system integration</li>\n<li>Strong proficiency in ROS/ROS2 and Ubuntu-based systems</li>\n<li>Extensive experience with real-time system performance optimization and CUDA programming</li>\n<li>Deep understanding of autonomous vehicle architecture and systems integration</li>\n<li>Strong background in electrical systems, CAN protocols, and firmware development</li>\n<li>Expertise in container technologies (Docker, Podman) and their underlying systems</li>\n<li>Experience with configuration management tools like Ansible</li>\n<li>Strong programming skills in C++, Python, and shell scripting</li>\n<li>Thorough understanding of networking principles and protocols</li>\n<li>Experience with high-performance computing and system optimization</li>\n<li>Strong debugging and problem-solving skills across hardware and software domains</li>\n<li>Excellent documentation and communication skills</li>\n</ul>\n<p>Nice to Have</p>\n<ul>\n<li>Experience with fleet management systems or logistics software</li>\n<li>Experience with industrial automation or autonomous mobile robots</li>\n<li>Knowledge of Open-RMF middleware framework</li>\n<li>Experience with telematics data processing and analytics</li>\n<li>Familiarity with computer vision and machine learning deployment</li>\n<li>Experience with over-the-air (OTA) update systems</li>\n<li>Knowledge of safety-critical software development practices</li>\n<li>Experience with real-time operating systems</li>\n<li>Familiarity with automotive-grade software development</li>\n<li>Background in system safety and fault tolerance design</li>\n<li>Experience with simulation environments for autonomous systems testing</li>\n<li>Knowledge of DevOps practices and CI/CD pipelines</li>\n</ul>\n<p>Benefits &amp; Perks</p>\n<ul>\n<li>Health benefits (Medical, Dental, Vision, HSA and FSA (Health &amp; Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)</li>\n<li>Life, Short-term, and long-term disability insurance (Cyngn funds 100% of premiums)</li>\n<li>Company 401(k)</li>\n<li>Commuter Benefits</li>\n<li>Flexible vacation policy</li>\n<li>Sabbatical leave opportunity after five years with the company</li>\n<li>Paid Parental Leave</li>\n<li>Daily lunches for in-office employees</li>\n<li>Monthly meal and tech allowances for remote employees</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c9678449-2cf","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Cyngn","sameAs":"https://www.cyngn.com/","logo":"https://logos.yubhub.co/cyngn.com.png"},"x-apply-url":"https://jobs.lever.co/cyngn/d5a8db2f-b21f-4e57-a64a-1dfd642a49b7","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$198,000-225,000 per year","x-skills-required":["C++","ROS/ROS2","Ubuntu-based systems","Real-time system performance optimization","CUDA programming","Autonomous vehicle architecture","Systems integration","Electrical systems","CAN protocols","Firmware development","Container technologies","Configuration management tools","Programming skills in C++, Python, and shell scripting","Networking principles and protocols","High-performance computing","System optimization"],"x-skills-preferred":["Fleet management systems","Industrial automation","Open-RMF middleware framework","Telematics data processing","Computer vision","Machine learning deployment","Over-the-air (OTA) update systems","Safety-critical software development practices","Real-time operating systems","Automotive-grade software development","System safety and fault tolerance design","Simulation environments","DevOps practices and CI/CD pipelines"],"datePosted":"2026-04-17T12:26:58.443Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C++, ROS/ROS2, Ubuntu-based systems, Real-time system performance optimization, CUDA programming, Autonomous vehicle architecture, Systems integration, Electrical systems, CAN protocols, Firmware development, Container technologies, Configuration management tools, Programming skills in C++, Python, and shell scripting, Networking principles and protocols, High-performance computing, System optimization, Fleet management systems, Industrial automation, Open-RMF middleware framework, Telematics data processing, Computer vision, Machine learning deployment, Over-the-air (OTA) update systems, Safety-critical software development practices, Real-time operating systems, Automotive-grade software development, System safety and fault tolerance design, Simulation environments, DevOps practices and CI/CD pipelines","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":198000,"maxValue":225000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a51375e8-30e"},"title":"Member of Technical Staff, Software Co-Design AI HPC Systems","description":"<p>Our team&#39;s mission is to architect, co-design, and productionize next-generation AI systems at datacenter scale. We operate at the intersection of models, systems software, networking, storage, and AI hardware, optimizing end-to-end performance, efficiency, reliability, and cost. Our work spans today&#39;s frontier AI workloads and directly shapes the next generation of accelerators, system architectures, and large-scale AI platforms. We pursue this mission through deep hardware–software co-design, combining rigorous systems thinking with hands-on engineering. The team invests heavily in understanding real production workloads large-scale training, inference, and emerging multimodal models and translating those insights into concrete improvements across the stack: from kernels, runtimes, and distributed systems, all the way down to silicon-level trade-offs and datacenter-scale architectures. This role sits at the boundary between exploration and production. You will work closely with internal infrastructure, hardware, compiler, and product teams, as well as external partners across the hardware and systems ecosystem. Our operating model emphasizes rapid ideation and prototyping, followed by disciplined execution to drive high-leverage ideas into production systems that operate at massive scale. In addition to delivering real-world impact on large-scale AI platforms, the team actively contributes to the broader research and engineering community. Our work aligns closely with leading communities in ML systems, distributed systems, computer architecture, and high-performance computing, and we regularly publish, prototype, and open-source impactful technologies where appropriate.</p>\n<p>About the Team</p>\n<p>We build foundational AI infrastructure that enables large-scale training and inference across diverse workloads and rapidly evolving hardware generations. Our work directly shapes how AI systems are designed, deployed, and scaled today and into the future. Engineers on this team operate with end-to-end ownership, deep technical rigor, and a strong bias toward real-world impact.</p>\n<p>Microsoft Superintelligence Team</p>\n<p>Microsoft Superintelligence team’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p>\n<p>This role is part of Microsoft AI’s Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being. We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!</p>\n<p>Responsibilities</p>\n<p>Lead the co-design of AI systems across hardware and software boundaries, spanning accelerators, interconnects, memory systems, storage, runtimes, and distributed training/inference frameworks. Drive architectural decisions by analyzing real workloads, identifying bottlenecks across compute, communication, and data movement, and translating findings into actionable system and hardware requirements. Co-design and optimize parallelism strategies, execution models, and distributed algorithms to improve scalability, utilization, reliability, and cost efficiency of large-scale AI systems. Develop and evaluate what-if performance models to project system behavior under future workloads, model architectures, and hardware generations, providing early guidance to hardware and platform roadmaps. Partner with compiler, kernel, and runtime teams to unlock the full performance of current and next-generation accelerators, including custom kernels, scheduling strategies, and memory optimizations. Influence and guide AI hardware design at system and silicon levels, including accelerator microarchitecture, interconnect topology, memory hierarchy, and system integration trade-offs. Lead cross-functional efforts to prototype, validate, and productionize high-impact co-design ideas, working across infrastructure, hardware, and product teams. 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We operate at the intersection of models, systems software, networking, storage, and AI hardware, optimizing end-to-end performance, efficiency, reliability, and cost.</p>\n<p>We pursue this mission through deep hardware–software co-design, combining rigorous systems thinking with hands-on engineering. The team invests heavily in understanding real production workloads large-scale training, inference, and emerging multimodal models and translating those insights into concrete improvements across the stack: from kernels, runtimes, and distributed systems, all the way down to silicon-level trade-offs and datacenter-scale architectures.</p>\n<p>This role sits at the boundary between exploration and production. You will work closely with internal infrastructure, hardware, compiler, and product teams, as well as external partners across the hardware and systems ecosystem. 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Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p>\n<p>This role is part of Microsoft AI’s Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being. We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact.</p>\n<p>Responsibilities\nLead the co-design of AI systems across hardware and software boundaries, spanning accelerators, interconnects, memory systems, storage, runtimes, and distributed training/inference frameworks.</p>\n<p>Drive architectural decisions by analyzing real workloads, identifying bottlenecks across compute, communication, and data movement, and translating findings into actionable system and hardware requirements.</p>\n<p>Co-design and optimize parallelism strategies, execution models, and distributed algorithms to improve scalability, utilization, reliability, and cost efficiency of large-scale AI systems.</p>\n<p>Develop and evaluate what-if performance models to project system behavior under future workloads, model architectures, and hardware generations, providing early guidance to hardware and platform roadmaps.</p>\n<p>Partner with compiler, kernel, and runtime teams to unlock the full performance of current and next-generation accelerators, including custom kernels, scheduling strategies, and memory optimizations.</p>\n<p>Influence and guide AI hardware design at system and silicon levels, including accelerator microarchitecture, interconnect topology, memory hierarchy, and system integration trade-offs.</p>\n<p>Lead cross-functional efforts to prototype, validate, and productionize high-impact co-design ideas, working across infrastructure, hardware, and product teams.</p>\n<p>Mentor senior engineers and researchers, set technical direction, and raise the overall bar for systems rigor, performance engineering, and co-design thinking across the organization.</p>\n<p>Qualifications\nBachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.</p>\n<p>Additional or Preferred Qualifications\nMaster’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.</p>\n<p>Strong background in one or more of the following areas: AI accelerator or GPU architectures Distributed systems and large-scale AI training/inference High-performance computing (HPC) and collective communications ML systems, runtimes, or compilers Performance modeling, benchmarking, and systems analysis Hardware–software co-design for AI workloads Proficiency in systems-level programming (e.g., C/C++, CUDA, Python) and performance-critical software development.</p>\n<p>Proven ability to work across organizational boundaries and influence technical decisions involving multiple stakeholders. 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