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TL;DR
Senior/Staff Software Engineer (C++): Building a high-speed, GPU-based simulation framework for autonomous vehicles with an accent on execution frameworks and latency optimization. Focus on ensuring deterministic execution and scalability of ML training pipelines in distributed clusters.
Location: Hybrid (Foster City, CA / Seattle, WA)
Company
Zoox is developing a safe, autonomous ride-hailing system to transform urban transportation.
What you will do
- Architect and support foundational simulation software, focusing on execution frameworks and latency optimization.
- Own the interface between the high-speed GPU simulation framework and the self-driving software stack.
- Improve simulation performance and build self-serve systems to accelerate the work of autonomy and ML engineers.
- Ensure deterministic execution, precise timing, and reproducibility of simulation results at scale.
- Collaborate with ML experts to bridge fidelity gaps between fast simulations and high-fidelity 3D environments.
Requirements
- Bachelor's or Master's in Computer Science, Mathematics, Physics, or a related field.
- 6+ years of experience in a related software engineering field.
- Deep expertise in modern C++ software development and system architecture.
- System design experience building deterministic software in distributed computer clusters.
- Strong understanding of execution frameworks, latency optimization, and memory management.
Nice to have
- Familiarity with spatial reinforcement learning or modern ML frameworks such as JAX or PyTorch.
- Experience in the automotive, robotics, or AAA video game industries.
- Familiarity with PubSub systems.
Culture & Benefits
- Comprehensive health, long-term care, disability, and life insurance.
- Paid time off, including sick leave, vacation, and bereavement.
- Equity compensation through Amazon RSUs and Zoox Stock Appreciation Rights.
- Inclusive work environment that values diverse perspectives and backgrounds.
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