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Autonomy Engineer - Mapping

Remote

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

The Mapping and Planning Team is responsible for building the tools and systems that are used to build and maintain our maps 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 satisfy releases schedule
  • Support development related to data, development, and ML pipeline
  • 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, or Computer Engineering, or a field that requires a strong mathematical and/or engineering foundation (e.g. physics, aerospace engineering)
  • Strong programming skills in C/C++/Python, software development in Linux environment
  • Strong experiences 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
  • Strong programming skills in C/C++ and experience with software development in a Linux environment

Desirable

  • Masters or PhD in Robotics, Computer Vision, Machine Learning, Artificial Intelligence, Computer Science, or Computer Engineering, or a field that requires a strong mathematical and/or engineering foundation (e.g. physics, aerospace engineering)
  • Strong background in one of the robot perception areas discussed above as demonstrated by developing and delivering to fielded robots multiple capabilities that solve critical problems in perception
  • Demonstrated ability to mentor and support more junior engineers in learning and contributing to robotics development and testing
  • Experience with python, machine learning software frameworks, and GPU programming in CUDA or related higher-level languages

Benefits and Perks

  • Competitive salary and benefits (medical / dental / vision / 401k)
  • Meaningful stock incentives and equity refresh program
  • Unlimited vacation / company paid holidays
  • Daily catered lunches and snacks
  • Paid parental leave

Salary Range

$152,000 - $185,000 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.



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