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