- Salary
- $160k – $246k
- Location
- GM Automation - Sunnyvale - GM Automation - Sunnyvale, United States of America
- Workplace
- Remote
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Experience
- 7+ years
- Education
- PhD
- Source
- Workday
Description
Job Description
The Rendering team builds and maintains the core sensor simulation system that produces physically accurate synthetic sensor data for autonomous vehicle development. We own the full rendering pipeline — from scene ingestion and acceleration structure construction through GPU ray tracing and sensor-specific post-processing. Our stack includes C++, CUDA, NVIDIA OptiX, USD (Universal Scene Description), MDL materials, and ROS. We care deeply about performance, correctness, and clean architecture.
The Role
As a Staff Software Engineer on the Rendering team within Simulation, you will architect, optimize, and extend a GPU-accelerated, physics-based sensor simulation system used to generate synthetic sensor data — cameras, LiDAR, radar, and depth sensors — for autonomous vehicle development and validation. You will work at the intersection of real-time rendering, GPU computing, and large-scale scene management, tackling challenges in memory management, geometry streaming, material systems, and ray tracing performance. Your work will directly impact the fidelity, scalability, and speed of the simulation platform that AV teams depend on for training, testing, and validating perception and planning systems.
What You'll Do
- Design and implement systems for efficiently loading, managing, and rendering large-scale 3D scenes — including geometry streaming, level-of-detail, instancing, and acceleration structure optimization.
- Optimize GPU memory management and texture pipelines to support scenes with significantly higher geometric and material complexity.
- Architect and extend the sensor simulation pipeline to support new sensor modalities and integrate them into our ROS-based data delivery stack.
- Improve ray tracing performance through BVH optimization, shader efficiency, and pipeline profiling using CUDA and OptiX.
- Enable new use cases such as real-time or near-real-time rendering for reinforcement learning workloads, requiring low-latency scene updates and rapid frame generation.
- Contribute to the USD scene ingestion and material translation pipeline, improving robustness, performance, and support for complex production assets.
- Drive architectural improvements across the codebase — refactoring, API design, build system improvements, and developer tooling.
- Uphold high code quality and architecture standards through code reviews, technical design documents, and mentorship of other engineers.
- Leverage AI-assisted development tools to accelerate prototyping, testing, and code quality.
Your Skills & Abilities
- BS, MS, or PhD in Computer Science, Computer Graphics, Engineering, or equivalent experience.
- 7+ years of professional C++ development experience, with deep knowledge of modern C++ (C++17/20), memory management, and performance optimization.
- Significant experience with GPU programming (CUDA, OptiX, Vulkan, or similar) and an understanding of GPU architecture and execution models.
- Proven track record working on rendering systems, game engines, simulation platforms, or other performance-critical real-time graphics software.
- Strong understanding of data structures and algorithms relevant to rendering: spatial acceleration structures (BVH/kd-tree), scene graphs, texture management, and resource streaming.
- Experience profiling and optimizing complex C++ and GPU codebases (e.g., Nsight, Tracy, perf, custom instrumentation).
- Comfort working in large, multi-module codebases with CMake-based build systems.
- Strong communication and collaboration skills, with demonstrated ability to drive technical design across teams.
What Will Give You A Competitive Edge
- Experience with USD (Universal Scene Description) or similar scene description frameworks.
- Experience with physically-based rendering, material systems (MDL, OSL), or spectral rendering.
- Familiarity with ROS and integrating rendering or sensor simulation into robotics data pipelines.
- Experience with reinforcement learning environments or gym-style simulation interfaces.
- Knowledge of ray tracing theory, radiometric sensor modeling, or computational photography.
- Experience with large-scale asset pipelines, texture compression (BCn, ASTC), or virtual texturing.
- Contributions to open-source rendering, game engine, or simulation projects.
Compensation
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role is $160,200 to $246,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Company Vehicle
"Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.”
About GM
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Why Join Us
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Benefits Overview
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We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
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