Infrastructure Engineer -Dry Utilities
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Optimize GPU performance for motion planning algorithms in autonomous vehicles. This role requires a BS in computer science and 3+ years of experience with CUDA, recent GPU microarchitectures like Ampere and Blackwell, and C++ in large codebases. You'll analyze performance metrics, optimize ML models for latency and memory, debug GPU kernels using tools like Nsight, and support engineers across the planner team. Linux development experience and familiarity with complex multiprocess systems required.
Written from this posting by Neural Jobs AI. The full description is below.
Zoox made the world’s first purpose-built commercial robotaxi, combining advanced self-driving hardware and software. In order to ensure safe operation, low latency and consistent resource utilization are critical. The Planner Compute team is responsible for the performance of the largest single software component within the autonomy stack, the motion planner.
The Planner Compute team is looking for an expert in GPU performance. You will instrument, monitor, analyze and optimize GPU-based algorithms that are performance-critical for our solution. The scope for GPU usage ranges from machine learning inference to custom CUDA kernels written specifically for the motion planner.
Analyze performance metrics to identify GPU hotspots and optimizations
Contribute to the adaptation of our current planner to multiple GPU architectures with different resources
Optimize ML models for latency and GPU memory usage
Support engineers within Planner as a subject matter expert on CUDA & GPU performance
BS in computer science or related field and 8+ years of experience.
Strong knowledge of CUDA as applied to recent GPU microarchitectures (e.g., Ampere, Blackwell) and experience debugging/optimizing GPU kernels using tools like Nsight.
Strong knowledge of C++ and experience in large code bases, comfortable in Linux development environments.
Experience in development, debugging, and profiling of complex multiprocess systems (e.g., robotic systems, game engines).
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Zoox, an Amazon subsidiary, develops an autonomous ride-hailing service and a purpose-built electric robotaxi. Rather than adapting a conventional car, it designed a bidirectional vehicle around autonomous operation, passenger use, and dense urban mobility. The company develops the vehicle, autonomous-driving software, sensing, simulation, fleet systems, and rider experience as one integrated service. Zoox is progressing from testing toward commercial robotaxi operations with safety and controlled deployment at the center of its approach.
182K – 294K
Our estimate — this employer did not publish a salaryOur estimate, not the employer’s. Worked out from the middle half of 64 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.
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