Autonomy Engineer - Perception Benchmarking/Evaluation

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 that literally reimagines the way AVs think. 

Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 300,000 autonomy-enabled rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us.

Job Summary

May Mobility is entering an exciting phase of growth as we expand our first-of-its-kind autonomous shuttle and mobility services across the nation. Launched in 2017 with a strong team of experienced roboticists, perception, behavior, AI, and software engineers with decades of experience fielding robotic systems in the wild, May Mobility is looking to expand its team of perception engineers with a background in robotics or autonomous vehicles. 

We are seeking an experienced Senior Engineer or above with expertise in testing, evaluation and safety as it relates to commercially deployed Robotics and Machine Learning systems. As part of the Perception team, you will play a critical role in establishing and maintaining high standards for system performance in terms of quality, safety and reliability.

Essential Responsibilities

• Track Perception stack performance using various tool suites to ensure strictly increasing performance over time
• Own the creation and maintenance of systems and processes to identify and act on performance regressions, deficiencies and improvement opportunities
• Review performance in vehicle logs to perform root cause analysis and determine plan of action for testing and annotation
• Create new Software routines to calculate metrics and monitor performance across training, simulation and software runtime suites
• Define new system metrics and criteria to evaluate performance in rare and safety critical edge cases
• Monitor and improve the runtime performance of test and evaluation pipelines for large scale processing
• Curate training and test datasets, directing development workflows to focus on high-priority and safety critical data and situations
• Produce reports conveying performance information to external stakeholders

Skills and Abilities

Success in this role typically requires the following competencies:

• Strong command of Python and design patterns, package management and repository management
• Functional understanding of ML training workflows and the role of various data and training/inference frameworks
• Experience with spatiotemporal data, including basic coordinate transforms, rotations, linear algebra and physics concepts
• Working understanding of LLM landscape, prompt formatting, interacting with and managing both on-prem + API instantiations

Qualifications and Experience

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

Required

• Bachelor’s, Master’s or PhD degree in Robotics, Computer Science, Computer Engineering, or a related field with strong mathematical and engineering foundations.
• A minimum of 5+ years of Software Engineering experience in production environments with high quality/safety standards
• Experience with and general knowledge of ML models and concepts including VLMs and LLMs. 
• Proficiency in C/C++/Python and experience in software development in Linux environments.

Desirable

• Experience with Robotics systems
• Experience with LiDAR, RADAR and/or Camera sensor data
• Experience with ML inference and/or Training applications

Physical Requirements

• Standard office working conditions which includes but is not limited to:
• Prolonged sitting
• Prolonged standing
• Prolonged computer use

• Travel required? -  Moderate: 11%-25%

Salary Range$175,000—$215,000 USD

Benefits and Perks

• Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate. 
• Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.
• Rich retirement benefits, including an immediately vested employer safe harbor match.
• Generous paid parental leave as well as a phased return to work. 
• Flexible vacation policy in addition to paid company holidays.
• Total Wellness Program providing numerous resources for overall wellbeing   

Don’t meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we’re committed to building a diverse, inclusive, and authentic workforce, so if you’re excited about this role but your previous experience doesn’t align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May.

Want to learn more about our culture & benefits? Check out our website!

May Mobility is an equal opportunity employer.  All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis.   Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary.  Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know.

Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.