ML Accelerator Architect — Equity Eligible & High-Impact

Waymo LLC; Mountain View (CA); Remote; USD 170,000 - 216,000; Full time

Benefits offered by this job

Discretionary annual bonus

Equity incentives

Benefits program

Job summary

Waymo is seeking a hardware-focused compute engineer to advance the Waymo Driver stack. You will model, simulate and optimize high-performance architectures, including CPUs, GPUs and ML accelerators, to deliver scalable ML workloads for the Waymo Driver.

You will collaborate with compiler and model teams, build performance tools, and help shape future hardware-software co-design. A BS in CS/CE and 3+ years of relevant experience are required.

Qualifications

• BS degree in Computer Science or Computer Engineering or equivalent practical experience.
• 3+ years designing/architecting high performance architectures - CPUs, GPUs and/or ML accelerators.
• 1+ years experience with machine learning architectures, acceleration and model optimization.
• Strong C++ programming and algorithmic problem solving skills.

Responsibilities

• Analyze workloads and map them efficiently to hardware, proposing novel HW-friendly implementations and projecting performance.
• Architect, simulate and design amazing machine learning solutions for autonomous driving technology.
• Work closely with compiler and model developers to influence engineering trade-offs and future model architectures.
• Build scalable tools for simulator modeling and performance evaluation.
• Interact with cross-functional engineering teams to identify opportunities and requirements.

Skills

C++ programming

Algorithmic problem solving

Machine learning architectures

High performance architectures

Education

Bachelor's degree in CS/CE

Tools

SystemVerilog

HLS

Job description

Waymo is seeking a hardware-focused compute engineer to advance the Waymo Driver stack. You will model, simulate and optimize high-performance architectures, including CPUs, GPUs and ML accelerators, to deliver scalable ML workloads for the Waymo Driver.

You will collaborate with compiler and model teams, build performance tools, and help shape future hardware-software co-design. A BS in CS/CE and 3+ years of relevant experience are required.