Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.
Waymo Platforms is responsible for low-level software and infrastructure on various components of the Waymo self-driving system. The team's scope covers everything from low-level system software to high-bandwidth data logging, IPC (low-latency and high-throughput), networking, scheduling, process management, performance analysis, full-system debugging, etc. We work closely with the Hardware, Compute, Sensor, Perception, Behavior and Machine Learning teams to build the most performant and low-latency self-driving solution in the industry.
In this role, you will work on the Core Platform Team. The Core Platform team owns the primary compute node of Waymo's on-vehicle compute platform – a highly integrated, high performance embedded system.If you enjoy building robust and high-performance embedded systems using state-of-the-art compute hardware and working closely with engineering teams that will be direct consumers of your work, you'll be a great fit for this role.
In this role you'll:
- Work on a small team of System Software and Linux Kernel Engineers to design, implement and test system software components from early prototyping to production launch of driverless vehicles
- Design, implement and test Linux Kernel device drivers and other components for high-performance embedded systems including custom ASICs and accelerators.
- Take on complex and ambiguous problems and come up with clean and robust solutions.
At a minimum, we'd like you to have:
- BA/BS degree in Computer Science, Computer Engineering or relevant technical field or equivalent practical experience
- 8+ years of relevant work experience
- Proficiency in C and C++
- Strong understanding of programming in an asynchronous environment with multiple processes, threads, timers, interrupts, etc.
- Experience with Linux kernel and device driver development
- Excellent debugging skills
It’s preferred if you have:
- Experience with common hardware protocols/interfaces (PCIe, Ethernet, I2C, etc)
- Working knowledge of complex hardware-accelerated compute pipelines (GPUs, ML accelerators, image/data processors, etc.)
- Performance optimization of systems and complex pipelines
- Working knowledge of hardware bring-up and debugging
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