Design and maintain high-speed GPU-based simulation platform ensuring deterministic execution, low latency, and reproducibility at scale. Own interfaces to the self-driving stack, optimize performance, and build self-serve systems to accelerate ML and autonomy workflows while collaborating with ML experts to bridge fidelity gaps.
Simulation is essential for Zoox to rapidly iterate on our driving software and hardware, and to validate our safety before we drive in the real world. We create virtual worlds to challenge our robots, from real-world data, entirely novel scenarios, or a combination of both. Our simulations need to run at a huge scale to cover everything that might happen, and to help prove our driving to be safe.
As a Simulation C++ Platform Engineer, you will build the architecture on which simulation relies, with a specific focus on our high-speed, GPU-based simulation framework. Our success depends on you building solid, deterministic foundations that enable rapid scaling of our ML training pipelines and ensure seamless integration across the entire self-driving software stack.
In this role, you will:
- Architect and support foundational simulation software, focusing heavily on execution frameworks and latency optimization.
- Own the interface between our high-speed GPU simulation framework and the rest of the self-driving software stack.
- Improve simulation performance directly and build self-serve systems that accelerate the work of autonomy and ML engineers.
- Ensure the deterministic execution, precise timing, and reproducibility of all simulation results at scale.
- Collaborate closely with ML experts to bridge fidelity gaps between fast simulations and high-fidelity 3D environments.
Qualifications:
- 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, specifically building deterministic software in distributed computer clusters.
- Strong understanding of execution frameworks, latency optimization, and memory management.
Bonus Qualifications:
- Familiarity with spatial reinforcement learning or modern ML frameworks (e.g., JAX, PyTorch).
- Automotive, robotics, or AAA video game industry experience.
- Familiarity with PubSub systems.
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
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Accommodations
If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.
A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
Zoox Foster City, California, USA Office
4000 E 3rd Ave, Foster City, CA, United States, 94404
Zoox Foster City, California, USA Office
1149 Chess Drive, Foster City, CA, United States, 94404
Zoox Fremont, California, USA Office
47540 Kato Road, Fremont, CA, United States, 94538
Zoox San Francisco, California, USA Office
60 Broadway St, San Francisco, CA, United States, 94111
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