Zoox is seeking a Senior Software Engineer specializing in GPU performance for its Planner Compute team. The role focuses on instrumenting, analyzing, and optimizing GPU-based algorithms and ML models critical to the self-driving motion planner. Candidates must have strong expertise in CUDA, C++, and GPU kernel debugging.
- Remote scope
- Hybrid work in Boston, MA
- Compensation
- USD 209,000–263,000 / year
What you need
- BS in Computer Science or related field and 6+ years of experience
- Strong knowledge of CUDA for recent GPU microarchitectures (Ampere, Blackwell)
- Experience debugging/optimizing GPU kernels using tools like Nsight
- Strong knowledge of C++ in large code bases and Linux development environments
- Experience in development, debugging, and profiling of complex multiprocess systems
What you will own
- Analyze performance metrics to identify GPU hotspots and optimizations
- Contribute to the adaptation of the current planner to multiple GPU architectures
- Optimize ML models for latency and GPU memory usage
- Support engineers within Planner as a subject matter expert on CUDA & GPU performance
Core skillsCUDAC++GPU Performance OptimizationLinuxNsightProfiling
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.
In this role, you will:
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
Qualifications
BS in computer science or related field and 6+ 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).
Bonus Qualifications
GPU kernel development experienceAdditional
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
