Autonomy Engineer - Perception Optimization

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles powered by MPDM technology that reimagines how AVs think. Our vehicles provide value to communities, bridge public transit gaps, and move people safely and with more ease and fun. We are hiring to expand our team of perception engineers with a background in robotics or autonomous vehicles.

May Mobility is expanding its first-of-its-kind autonomous shuttle and mobility services. We are looking for an experienced Senior Engineer or above with deep expertise in perception systems, machine learning, and GPU optimization to enhance on-vehicle perception capabilities and optimize frameworks for real-time autonomous driving.

• Work closely with across functional teams to co-define software and system requirements, analyze trade-offs, and shape future generations of compute platforms.
• Collaboratively integrate perception algorithms and ML models with vehicle hardware and software for autonomous driving systems.
• Collaborate with ML infrastructure teams to develop and optimize distributed training infrastructure, automate deployment pipelines, and enhance system reliability and performance.
• Conduct rigorous testing and validation of perception algorithms in simulated and real-world environments to ensure robustness, reliability, and safety.
• Develop and optimize perception stack software using CUDA and GPU programming to accelerate computationally intensive tasks and maximize efficiency.
• Lead efforts to optimize machine learning models for runtime efficiency, scalability, and performance across GPU, TPU, and CPU architectures for various vehicle platforms.
• Stay at the forefront of ML, GPU programming, and autonomous driving technologies, integrating the latest advancements into development.
• Participate in feature design, code reviews, debugging, and issue resolution to drive improvements in perception software performance.

• Strong programming skills in C++ and Python with deep software optimization knowledge.
• Experience optimizing ML models for resource-constrained inference, including custom operations, pruning, quantization, and knowledge distillation.
• Expertise in GPU programming, particularly CUDA, for high-performance computing.
• Proficiency in model-platform co-optimization across GPU, TPU, and CPU architectures.
• Hands-on experience with real-time data processing and advanced optimization techniques.
• Background in ML model inference optimization balancing accuracy and latency for real-time applications.
• Familiarity with ML frameworks and libraries for perception tasks.
• Excellent problem-solving skills with attention to detail and a rigorous testing mindset.

Required

• Master's or PhD in Robotics, Computer Science, Computer Engineering, or related field with strong mathematical and engineering foundations.
• Minimum 3+ years in senior engineering roles of GPU programming/optimization using CUDA or similar techniques for perception algorithms and models.
• Proficiency in C/C++/Python and Linux software development.
• Strong experience with GPU programming, CUDA, and real-time data processing.
• Experience optimizing ML models for runtime efficiency.
• Experience with 3D computer vision and point cloud processing.

Desirable

• Expertise in ML/DL model optimization for real-time applications with limited compute resources.
• Contributions to deployed robotic systems with perception evaluation and testing.
• Experience with ROS (Robot Operating System).
• Knowledge of vehicle dynamics and control systems.
• Experience deploying ML models efficiently on embedded hardware.
• Familiarity with hardware acceleration beyond GPUs (TPUs, FPGAs).

• Standard office conditions with:
• Prolonged sitting, standing, and computer use.

Travel:
Moderate (11%-25%).

• Comprehensive healthcare (medical, dental, vision, life, disability). Domestic partners eligible if residency criteria are met.
• Health Savings and Flexible Spending Accounts available.
• 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 with resources for wellbeing.

Note:

May Mobility is an equal opportunity employer. All applicants will be considered without regard to protected characteristics. We encourage applicants who may not meet every qualification to apply anyway.

May Mobility does not accept unsolicited agency resumes. Salary Range: $175,000—$215,000 USD.