Machine Learning Engineer II - Autonomous Driving & Inference Runtime

• Deploy and optimize machine learning model architectures across May's autonomous driving training and inference stacks.
• Own the model-compilation and deployment pipeline end-to-end.
• Establish and defend latency/throughput budgets across the AV stack, including profiling, regression and integrity tests.

This role directly contributes to deploying safe, efficient autonomous vehicles that reduce congestion, expand access, and foster greener, more livable communities.

• Bachelor's or Master's degree in Robotics, Computer Science, Computer Engineering, or a related field.
• A minimum of 2 years writing software to interface with GPU and ML systems.
• Proficiency in C/C++/CUDA/PyTorch and experience in Linux environments.
• Familiarity with basic Perception and Planning concepts in Autonomous Driving.

• Comprehensive healthcare suite including medical, dental, vision, life, and disability plans.
• Health Savings and Flexible Spending Accounts.
• Rich retirement benefits with immediately vested employer safe harbor match.
• Generous paid parental leave and phased return to work.
• Flexible vacation policy and paid company holidays.
• Total Wellness Program.
• Salary range: $180,000 - $210,000 USD.

May Mobility transforms cities through autonomous technology to create a safer, greener, more accessible world. They develop and deploy autonomous vehicles powered by Multi-Policy Decision Making technology, providing value to communities and bridging public transit gaps.