Machine Learning Engineer, GPU Kernel and Runtime

📋 Description

• Hybrid role building the onboard ML inference engine for Waymo's models across perception
• Work across the ML stack from efficient models, model compression, and ML software (e.g., JAX, XLA
• Collaborate with ML practitioners and hardware teams to optimize models for NVIDIA GPUs and custom

🎯 Requirements

• B.S. or M.S. in CS, EE, Deep Learning or related field
• 5+ years of industry experience on system performance, hardware-level GPU optimization, or ML
• Strong C++ and CUDA programming skills
• Extensive experience in NVIDIA GPU Kernel development to accelerate deep learning models
• Proven debugging and optimization experience on the XLA:GPU compiler and NVIDIA runtime stack
• Passion for developing and optimizing ML software stacks for modern ML accelerator architectures

🎁 Benefits

• Salary range: $213,000 – $263,000 USD
• Discretionary annual bonus program and equity incentive plan
• Generous company benefits program