May Mobility
From May Mobility's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work.
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 500,000 autonomous 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.
Train, Integrate and Test Machine Learning models for on-vehicle Autonomy software
Optimize and Monitor on-vehicle software for maximum reliability and minimum latency
Coordinate and execute on-vehicle tests to validate performance of Autonomous Vehicle software in real-world scenarios
Diagnose and root-cause issues reported by commercial operations through the May Field Response process
Design and oversee data collection strategies to address ML model deficiencies
Develop tools and visualizations to enable support engineers to analyze performance of behavior and control subsystems from field data
Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:
Required
2+ years experience with robotics software for physical systems in a commercial environment
Bachelor's degree in Robotics, Computer Science, Computer Engineering, or a field that requires a strong mathematical and/or engineering foundation (e.g. physics, aerospace engineering)
Basic understanding of ML model concepts such as training, architectures, and data selection
Functional understanding of lidar, camera and/or radar perception systems and their hardware interfaces
Strong programming skills in C/C++/Python in a Linux environment
Functional proficiency with Software concepts such as memory management, threading, databases and networking
Familiarity with standard development tools such as git, valgrind, and gdb
Desirable
Familiarity with common Perception, Planning and Foundation model concepts in Autonomous Driving.
Experience deploying ML models to resource-constrained hardware
Experience with CUDA and GPU processing techniques
Proficiency with hard example mining, active learning or dataset composition techniques
Experience calculating metrics for and evaluating autonomous vehicle models
Experience building training and evaluation pipelines for large data (>100TB) or large model (>100GB) applications
Physical Requirements
Standard office working conditions which includes but is not limited to:
Prolonged sitting
Prolonged standing
Prolonged computer use
Travel required? - Minimal: 1%-10%
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.
Salary Range
$130,000—$155,000 USD
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