Robotics Software Engineer - CUDA

Our client is a cutting-edge robotics company focused on delivering next-generation autonomous systems that perform in real-world environments. Their multidisciplinary team builds advanced software and simulation tools to accelerate robotic development, testing, and deployment. They're looking for a highly skilled Robotics Software Engineer with expertise in simulation systems and GPU programming using CUDA to help build the virtual environments that power our robotics platform.

As a Robotics Software Engineer specializing in simulation and CUDA development, you will design, build, and optimize simulation pipelines that model robotic systems in real-world environments with high fidelity and real-time performance. You'll collaborate closely with perception, controls, and hardware teams to validate algorithms in virtual testbeds, using high-performance GPU-based computing.
Key Responsibilities

• Develop real-time robotics simulation systems using C++, CUDA, and GPU acceleration techniques.
• Integrate physics engines, 3D models, and sensor simulation components (e.g., LIDAR, camera, IMU).
• Optimize compute-intensive tasks such as point cloud generation, collision detection, and sensor rendering using CUDA and other GPU computing tools.
• Work with roboticists and perception engineers to validate and test SLAM, path planning, and control algorithms in simulation.
• Create tools for automating large-scale simulation tests, data generation, and performance profiling.
• Contribute to the architecture and scalability of the simulation platform to support diverse robotics use cases.
• Participate in code reviews, design discussions, and cross-functional collaboration with other software and hardware teams.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related field.
• 3+ years of professional experience in robotics simulation or GPU-accelerated computing.
• Strong C++ programming skills and experience with CUDA or other GPGPU frameworks.
• Experience working with physics engines (e.g., NVIDIA PhysX, Bullet, MuJoCo) and 3D graphics frameworks (e.g., OpenGL, Vulkan, Unity, Unreal, or Omniverse).
• Familiarity with ROS/ROS 2 and robotics middleware.
• Solid understanding of robotics concepts including kinematics, dynamics, and sensor modeling.
• Strong debugging, performance optimization, and software architecture skills.

Preferred Qualifications

• Experience with real-time simulation systems and hardware-in-the-loop (HIL) testing.
• Familiarity with NVIDIA Omniverse or Isaac Sim.
• Background in parallel computing, GPU profiling, and memory optimization.
• Exposure to Python for tool scripting or pipeline automation.
• Experience with containerized simulation pipelines (e.g., Docker, Kubernetes).

What We Offer

• Competitive salary and equity package
• Collaborative, mission-driven team environment
• Flexible work hours and hybrid work options
• Access to state-of-the-art hardware and simulation tools