Software Engineer, Machine Learning/AI Accelerator

This role follows a hybrid work schedule, and you will report to the Tech Lead Manager of the Compute team.

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

• 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

You must create an Indeed account before continuing to the company website to apply

Waymo is an autonomous driving technology company with the mission to be the world’s 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’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ 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.