Robotics Engineer II

May Mobility; United States; On-site; USD 130,000 - 155,000; Full time

Benefits offered by this job

Healthcare benefits

HSA / FSA

Retirement plan

Parental leave

Flexible vacation

Wellness program

Job summary

May Mobility is transforming cities with autonomous technology, based in Ann Arbor, MI. We develop and deploy AVs powered by MPDM, building the world’s best autonomy system to reimagine transit and mobility. We need engineers to train, test and improve on-vehicle software, enabling safer, greener communities.

Join a mission-driven team working across data collection, ML model improvements and real-world testing to deliver scalable autonomy solutions. Competitive benefits included.

Qualifications

• 2+ years experience with robotics software for physical systems in a commercial environment.
• Bachelor’s degree in Robotics, CS, or Engineering.
• Understanding of ML concepts: training, architectures, data selection.
• Familiar with lidar/camera/radar perception systems and hardware interfaces.
• Strong programming in C/C++/Python on Linux.
• Experience with memory management, threading, databases, networking.
• Familiarity with git, valgrind, and gdb.

Responsibilities

• Train, integrate and test ML models for on-vehicle autonomy software.
• Optimize and monitor on-vehicle software for reliability and low latency.
• Coordinate and execute on-vehicle tests in real-world scenarios.
• Diagnose and root-cause issues reported by operations via May Field Response.
• Design data collection strategies to address ML model deficiencies.
• Develop tools and visualizations for engineers to analyze field data.

Skills

Robotics software

C/C++/Python

Linux development

ML concepts

Perception systems

Networking

Education

Bachelor’s degree in Robotics/CS/Engineering

Tools

Git

Valgrind

GDB

CUDA

Job description

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.

Essential Responsibilities

• 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

Qualifications and Experience

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%

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

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.

Salary Range

$130,000—$155,000 USD

May Mobility uses automated tools to support — but not replace — human judgment in our recruiting process, to find out more