Senior/Staff Software Engineer - C++ Simulation Platform

Senior/Staff Software Engineer - C++ Simulation Platform

Foster City, CA / Seattle, WA

Software - Software Systems /

Full-time /

Hybrid

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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.

$245,000 - $305,000 a year

Base Salary Range

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.

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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