The platforms team is seeking a staff software engineer to mature our ability to evaluate autonomous driving software at scale, on target compute hardware. Incorporating the vehicle’s compute system enables high-fidelity simulations that can find rare reliability and performance issues. The team’s work can vary from high-level simulation strategy to whole-system debugging.

In this role, you will:

• Work with partners from perception, planning, and other onboard software teams to improve simulation fidelity.
• Work across teams to mature our simulation strategy for high confidence that we can discover even extremely rare issues before on-vehicle testing.
• Improve the efficiency, reliability, and trustworthiness of simulations.
• Bring the simulator to new hardware platforms.
• Mentor senior team members and provide forward-looking technical leadership.

You have:

• Bachelor’s degree in computer science or equivalent practical experience.
• 8+ years of experience delivering complex, production-quality software.
• Proficiency in C++ and a scripting language like Python.
• Expertise in operating systems concepts on Linux: networking, filesystems, performance troubleshooting, device I/O.
• Familiarity working in systems with high concurrency: multiple processes, threads, timers, and interrupts.
• Experience with high-performance embedded systems at scale.
• Experience driving change in very large codebases.

We prefer:

• Master’s degree in computer science or equivalent practical experience.
• Familiarity with robotics concepts: inter-process messaging, logging, reproducibility, diagnostics, and fail-operational designs.
• Experience with hardware-accelerated compute workloads (e.g., GPU, ML accelerators, image/data processors)
• Experience simulating complex systems
• Experience with data center infrastructure

This is a hybrid role, based in the Mountain View office.