Robotics Software Engineer Jobs

About The Position

Requirements

• Advanced software engineering experience using Python and one or more of C++, C#, Java, Go, or Node.js.
• Experience with APIs, distributed systems, containers, automated testing, CI/CD, source control, and observability.
• Experience with cloud platforms and cloud-native architectures, including Docker and Kubernetes.
• Demonstrated ability to lead architecture and technical delivery across multiple teams.
• Strong communication, mentoring, problem-solving, and cross-functional collaboration skills.
• Experience using AI-assisted development tools such as GitHub Copilot, Claude, or Cursor.
• Deep hands-on experience with NVIDIA Isaac Sim and Isaac Lab for robotics simulation, learning, training, testing, and validation.
• Expertise with NVIDIA Newton or comparable GPU-accelerated physics engines, including rigid-body dynamics, contacts, friction, terrain interaction, vehicles, and robotic manipulation.
• Experience with NVIDIA Omniverse, OpenUSD, ROS 2, Python, and C++.
• Experience with NVIDIA Replicator for synthetic data and ground-truth generation.
• Experience with NVIDIA Cosmos or comparable world foundation models for Physical AI and sim-to-real workflows.
• Knowledge of perception, localization, planning, control, reinforcement learning, and autonomous-machine systems.
• Experience with SIL, HIL, VIL, real-time systems, coordinate frames, synchronization, and deterministic execution.
• Experience using CUDA, Docker, Kubernetes, NVIDIA Container Toolkit, and CoreWeave or comparable GPU cloud platforms.

Nice To Haves

• Seven or more years of software development in robotics, autonomy, controls, or simulation.
• Experience with heavy equipment, off-road autonomy, autonomous vehicles, or industrial robotics.
• Experience building automated closed-loop regression environments and measurable sim-to-real correlation.
• Experience optimizing large-scale parallel simulation and robot-learning workloads.

Responsibilities

• Define technical architecture for robotics and Physical AI simulation.
• Build closed-loop environments for autonomous and semi-autonomous machines.
• Lead Software-in-the-Loop, Hardware-in-the-Loop, and Vehicle-in-the-Loop strategies.
• Integrate ROS 2, autonomy software, machine controls, sensors, and simulation platforms.
• Develop camera, LiDAR, radar, GNSS, IMU, and machine-sensor simulation capabilities.
• Lead scenario generation, replay, regression testing, robot learning, and policy evaluation.
• Establish simulation-to-real correlation, fidelity, timing, determinism, and acceptance criteria.
• Scale parallel robotics simulation, reinforcement learning, and synthetic-data workloads on CoreWeave GPU infrastructure.
• Own a major technical capability across multiple teams and programs.
• Translate ambiguous business and engineering problems into scalable architectures and production software.
• Lead architecture reviews, technical investigations, design decisions, and engineering standards.
• Balance research and prototyping with secure, maintainable, production-ready delivery.
• Mentor senior and developing engineers and support technical hiring and onboarding.
• Partner with simulation, robotics, autonomy, controls, AI, data, cloud, product, and customer-facing organizations.
• Establish a reference architecture and technical roadmap, deliver reusable platform components, and improve engineering quality, automation, scalability, and adoption.

Benefits

• Medical, dental, and vision benefits.
• Paid time off plan, including vacation, holidays, and volunteer time.
• 401(k) savings plans.
• Health Savings Account (HSA).
• Flexible Spending Accounts (FSAs).
• Health Lifestyle Programs.
• Employee Assistance Program.
• Voluntary Benefits and Employee Discounts.
• Career Development.
• Incentive bonus.
• Disability benefits.
• Life Insurance.
• Parental leave.
• Adoption benefits.
• Tuition Reimbursement.
• Domestic relocation assistance is available.