Optimizing Autonomous Vehicle Technology

1 week ago


San Mateo, California, United States Zoox Full time
GPU Performance Software Engineer

Zoox is revolutionizing the transportation industry with its cutting-edge autonomous vehicle technology. As a GPU Performance Software Engineer, you will play a crucial role in optimizing the performance of our self-driving system.

Job Summary

We are seeking a highly skilled GPU Performance Software Engineer to join our Software Core Performance team. As a key member of this team, you will be responsible for instrumenting, monitoring, analyzing, and optimizing GPU-based algorithms that are critical to our solution.

Key Responsibilities
  • Design and Implement Performance Monitoring Tools: Develop real-time instrumentation for performance monitoring (CPU, GPU, latency, memory) of the system.
  • Develop Benchmarking Frameworks: Create offline benchmarking frameworks to support performance evaluation.
  • Build Performance Analysis Tools: Develop tools and scripts to evaluate and analyze performance at scale in CI and in the vehicle.
  • Establish Performance Budgets: Establish budgets for existing architectures and provide data to define next-gen architectures.
  • Analyze Performance Metrics: Analyze performance metrics to identify GPU hotspots and root causes, and propose and co-implement actionable solutions with component teams.
  • Optimize GPU Utilization: Support teams in bringing serial algorithms to the GPU to maximize compute utilization and improve overall latency.
  • Collaborate on Middleware Framework: Collaborate with the Core team to build a middleware framework that promotes efficient and performant code development by maximizing CPU and GPU utilization.
Requirements
  • Education: BS in Computer Science or related field.
  • Programming Skills: Strong knowledge of C++ and experience in large code bases.
  • GPU Knowledge: Strong knowledge of CUDA as applied to recent GPU microarchitectures (e.g., Turing, Ampere).
  • Debugging and Optimization: Experience debugging and optimizing GPU kernels using tools like Nsight Systems and Compute.
  • Statistical Analysis: Proficiency in statistical analysis and forecast modeling.
  • Business Intelligence: Experience with SQL, DataBricks, Looker, or other business intelligence tools.
  • Development Environment: Comfortable in Linux development environments.
Bonus Requirements
  • GPU Kernel Development: GPU kernel development experience in a firm/hard real-time environment.
  • Complex Multiprocess Systems: Experience in the development, debugging, and profiling of complex multiprocess systems (e.g. game engines, robotic systems).
  • PTX-Level Programming: Experience with PTX-level programming.
  • CPU SIMD Instructions: Experience with CPU SIMD instructions (e.g., AVX intrinsics).
  • TensortRT and CUDA Layers: Experience with TensortRT and custom CUDA layers.
Compensation

Zoox offers a comprehensive compensation package, including a salary range of $211,000 to $300,000, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The compensation will vary based on geographic location and level.

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. We are a fast-moving and highly execution-oriented team, and we are looking for top talent that shares our passion for innovation and excellence.



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