Software Engineer, ML Accelerator
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's Compute Team is tasked with a critical and exciting mission: We deliver the compute platform responsible for running the fully autonomous vehicle's software stack. To achieve our mission, we architect and create high-performance custom silicon; we develop system-level compute architectures that push the boundaries of performance, power, and latency; and we collaborate closely with many other teammates to ensure we design and optimize hardware and software for maximum performance. We are a multidisciplinary team seeking curious and talented teammates to work on one of the world's highest performance automotive compute platforms.
In this Hybrid role you will report to the Software Engineering Manager
You will:
- Design and implement full stack solution from firmware, low-level drivers, APIs for ML accelerator chips
- Analyze and optimize firmware and driver performance for demanding AI workloads
- Collaborate with hardware engineers closely throughout the ASIC design and verification processes
- Design and implement efficient memory management solutions including NUMA, IOMMU, etc.
You have:
- 3+ years of experience in software development
- Baremetal or RTOS firmware development experience
- Experience with embedded architectures, IO technologies (e.g. PCIe, DRAM, AXI, etc.), and hardware/software interactions
- Strong C, C++ skills
We prefer:
- Experience with RISC-V architecture
- Experience with ML frameworks like TensorFlow or JAX
- Familiar with hardware-software co-design principles
- Experience with silicon emulator
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
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