Job Description

Position Overview

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 (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology. Our vehicles provide value to communities, bridge public transit gaps, and move people safely and easily. We are building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access, and encouraging better land use, fostering more green, vibrant, and livable spaces. Since our founding in 2017, we’ve provided over 300,000 autonomy-enabled rides globally. We are hiring individuals passionate about building the future, solving real-world problems, and seeing the impact of their work.

Job Summary

The Mapping and Planning Team is responsible for building and maintaining the tools and systems that support our autonomy systems. We are seeking an experienced Senior Engineer or above with deep expertise in machine learning. In this role, you will be at the forefront of developing and deploying core tools that automatically extract semantic map elements from our datasets. You will be responsible for designing, training, and optimizing machine learning models to detect and precisely extract road features.

Essential Responsibilities

• Collaborate with other perception and robotics engineers to design, implement, test, and deploy robust, generalizable perception solutions for autonomous vehicles.
• Develop, test, and deploy software in C/C++/CUDA.
• Satisfy team code quality activities, including design and code reviews.
• Independently conduct extensive testing to validate features and meet release schedules.
• Support development related to data, development, and ML pipelines.
• Partner with our vehicle autonomy, operations, and platform teams to improve performance and address mapping software needs across the organization.
• Mentor software engineers to help them progress professionally.

Skills and Abilities

Success in this role typically requires the following competencies:

• Strong programming skills in C, C++, and Python with a deep understanding of software optimization.
• Expertise in GPU programming, particularly CUDA, for high-performance computing and efficient parallel processing.
• Strong background in ML model inference optimization.
• Strong familiarity with machine learning frameworks and libraries.
• Excellent problem-solving skills with a detail-oriented approach and a rigorous testing mindset to ensure system reliability.

Qualifications and Experience

Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:

Required:

• Bachelor's degree in Robotics, Computer Vision, Machine Learning, Artificial Intelligence, Computer Science, Computer Engineering, or a field requiring a strong mathematical and/or engineering foundation (e.g., physics, aerospace engineering).
• Strong programming skills in C/C++/Python and software development in a Linux environment.
• Strong experience in ML/DL development with PyTorch/TensorFlow.
• Experience working on a combination of the following areas:
  • Object Detection in Lidar, Vision, and Radar.
  • Semantic Segmentation in Vision, Lidar, and Radar.
• Strong experience in computer vision and sensor fusion.
• Machine Learning applied to Perception and Robotics problems.

Desirable:

• Master's or PhD in Robotics, Computer Vision, Machine Learning, Artificial Intelligence, Computer Science, or Computer Engineering, or a field requiring a strong mathematical foundation.

Salary

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Location Type

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Employment Type

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