2027 Internship Simulation Engineer, Neural Rendering

What you'll do

• Research, implement, and benchmark neural rendering methods using real-world fleet data.
• Integrate rendering outputs into simulation and build tools to measure visual fidelity and downstream autonomy impact.
• Investigate construction-specific rendering challenges and document findings and recommendations.

What they ask for

• Currently pursuing a BS, MS, or PhD in computer science, computer graphics, robotics, or a related field—or equivalent research or industry experience.
• Strong Python and hands-on experience with PyTorch or equivalent.
• Solid understanding of 3D graphics fundamentals, including rendering pipelines, scene representations, camera models, and coordinate systems.
• Familiarity with neural scene representations such as NeRF, Gaussian splatting, or related methods.

Nice to have

• Published work or substantial project experience in neural rendering, novel view synthesis, or differentiable rendering.
• Experience with simulation engines, autonomous vehicle simulation, synthetic data generation, C++, or GPU programming.

Tools

Python, PyTorch, NeRF, 3D Gaussian splatting, Unreal, Unity, NVIDIA Isaac Sim, CUDA

AI focus

Apply neural rendering and learned scene representations to generate realistic simulation imagery and assess whether improvements transfer to autonomy performance.