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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Robotics Systems Software Engineer - **Company:** Cyngn Inc. - **Location:** Mountain View, CA, United States - **Experience:** Expert - **Salary:** $180,000.0 - $200,000.0 - **Contract:** Permanent contract - **Skills:** C++ (Programming Language), CMake, Code Review, Continuous Integration, Data Structures, Software Debugging, Linux, Middleware, Hardware Interface Design, Python (Programming Language), Kinematics, Motion Planning, Software Architecture, Regression Testing, State Estimation, Robotic Automation Software, Software Deployment, Software Engineering, Software Technical Review, Software Modules, Mobile Robots, State Machines, Git, Information Technology, C++14, Docker - **Published:** October 15, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=4167cd81feac9efb ## About the Role * BS, MS, or PhD in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or a related technical field, or equivalent practical experience. * 3+ years of hands-on experience developing software for robotics, autonomous vehicles, or other autonomous systems. * Strong proficiency in modern C++ and working proficiency in Python. * Hands-on experience developing, testing, and deploying software on real robotic systems. * Experience with ROS/ROS2 or comparable robotics middleware. * Working knowledge of core robotics concepts such as coordinate frames, kinematics, state estimation, motion planning, feedback control, and sensor integration. * Strong systems-level understanding of how autonomy software components interact with each other and with vehicle hardware. * Experience debugging complex robotic systems where failures may span multiple software modules or hardware interfaces. * Strong software engineering fundamentals, including algorithms, data structures, software architecture, testing, and code review. * Strong communication and problem-solving skills and the ability to work effectively across multiple engineering disciplines., * Technical depth in at least one area of robotics or autonomous systems, such as: * + Behavior and decision-making + Motion planning + Vehicle or motion control * Experience developing autonomous vehicles, mobile robots, industrial robots, or similar systems. * Experience with behavior trees, state machines, or other architectures for autonomous decision-making. * Experience with search-based or sampling-based motion planning techniques such as A*, Hybrid A*, RRT, or related algorithms. * Experience with feedback control, vehicle dynamics, trajectory tracking, MPC, or optimization-based control. * Experience with simulation environments and automated autonomy testing. * Experience integrating sensors, actuators, drive-by-wire systems, or embedded/real-time components. * Experience developing tooling, metrics, and CI/CD infrastructure for robotic systems. * Familiarity with Linux, Git, Docker, CMake, and modern software development workflows. * Experience taking robotics functionality from prototype through validation and production deployment. ## Description As a Senior Robotics Systems Software Engineer on Cyngn's Autonomy team, you will develop, integrate, and deploy software across the autonomous driving stack for our industrial vehicles. This role is ideal for a strong robotics generalist who enjoys working across subsystem boundaries. Depending on the problem, you may contribute to behavior and decision-making, motion planning, controls, localization, perception interfaces, simulation, or vehicle integration. You will work closely with engineers across autonomy, vehicle infrastructure, hardware, QA, and deployment to turn robotics algorithms into reliable production systems operating on autonomous tuggers and forklifts at customer sites. What you'll do * Design, develop, test, and deploy software for autonomous industrial vehicles across areas including behavior and decision-making, motion planning, controls, and vehicle systems. * Write and maintain production-quality C++ and Python software running on Cyngn's autonomous vehicle platforms. * Develop and integrate algorithms for navigation, trajectory generation, vehicle control, obstacle handling, and autonomous behaviors. * Integrate autonomy software with sensors, drive-by-wire systems, vehicle hardware, and other onboard software components. * Bring up, validate, and debug software on real vehicles, tracing issues across autonomy modules, middleware, hardware interfaces, and vehicle behavior. * Develop simulation scenarios, testing infrastructure, metrics, and regression tests to validate autonomy behavior before deployment. * Investigate field issues and edge cases, reproduce failures, identify root causes, and implement robust production solutions. * Support deployment and validation of autonomous vehicles at customer facilities, translating real-world observations into improvements across the autonomy stack. * Collaborate closely with engineers in Planning, Controls, Perception, Localization, Vehicle Infrastructure, Hardware, QA, and Operations. * Participate in architecture discussions, code reviews, technical design, and continuous improvement of Cyngn's autonomy software. Priorities: 3-6-12 Month Goals First 90 Days * Build a working understanding of Cyngn's autonomy architecture, simulation environment, vehicle platforms, development workflow, and deployment process. * Partner with engineers across autonomy, infrastructure, hardware, QA, and operations to trace representative vehicle behaviors, build working relationships, and identify high-value reliability, integration, and test-coverage risks. * Deliver one scoped production improvement-such as fixing a well-understood autonomy defect, adding a regression scenario, or improving diagnostic tooling-and validate it in simulation and, where appropriate, on a vehicle. * Propose a prioritized plan for addressing one or two larger cross-stack risks, including candidate success metrics, data sources, and how each metric will be measured. By 6 Months * Complete a production-quality autonomy improvement that spans two or more subsystem boundaries and has been accepted into a release candidate and/or at production customer sites. * Establish the agreed baseline metrics and demonstrate early improvement, such as improved scenario pass rate, fewer interventions, reduced tracking error, or faster failure resolution. * Add reusable simulation scenarios, regression tests, diagnostics, or validation tools that are incorporated into the team's release-candidate testing. * Publish a technical design or process improvement that is reviewed and adopted by the affected teams. By 12 Months * Demonstrate sustained, measurable production improvement against the six-month baseline through broader deployment and fleet monitoring. * Own a significant autonomy capability from design through implementation, vehicle validation, deployment, and production monitoring. * Improve team effectiveness through documentation, code and design reviews, and reusable cross-stack debugging practices. * Demonstrate technical ownership through observable signals: serving as a reviewer for one or two repositories, leading triage for a class of field issues, or maintaining adopted runbooks and tools used by other engineers.