Software Engineer, Machine Learning Performance

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.

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

You will:

• Design and implement technical solutions for performance optimization of individual ML models
• Execute end-to-end tasks consistently and in a timely manner, contributing directly to larger performance goals for ML accelerators
• Collect, trace, and analyze application/ML model performance data to identify specific optimization opportunities, and prototype solutions at the application or compiler
• Collaborate with infrastructure teams (e.g., compiler, runtime) to implement and land performance-critical optimizations. 
• Uphold engineering quality by contributing to design documents, participating in timely code reviews, and writing comprehensive unit tests for your work products
• Proactively spot and suggest areas of future performance work within the team's scope

You have:

• BS degree in Computer Science/Electrical Engineering or equivalent, or equivalent practical experience
• 3+ years of experience writing complex C++ code
• 3+ years of experience writing code in Python
• 1+ years experience in optimizing compute performance for ML applications
• Experience in compute architectures and performance analysis optimization methodologies

We prefer:

• Experience in ML compiler design and implementation
• Experience in performance tools, simulators, HW/SW codesign
• Experience in robotic application development/optimizations
• Proficiency in collaboration with application teams and infrastructure teams