About the position
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.
Responsibilities
- 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.
Requirements
- 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
Nice-to-haves
- Experience with RISC-V architecture
- Experience with ML frameworks like TensorFlow or JAX
- Familiar with hardware-software co-design principles
- Experience with silicon emulator
Benefits
- Discretionary annual bonus program
- Equity incentive plan
- Generous Company benefits program
