| Location | Remote |
| Salary | $150,000—$188,000 USD |
| Remote | 🌴Remote allowed |
| First listed | In the last 1 month |
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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 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. We believe strongly in the need to demonstrate the safety of our Autonomous Vehicles, so that people can ride with confidence. Simulation-based testing is a big part of our strategy to achieve this. We are looking to add an experienced Lead Simulation Engineer to our Product Safety organization.
Essential Responsibilities
- Lead a team of engineers in developing simulation tests to validate the May autonomous driving software's performance and safety
- Collaborate with systems, safety, testing, and autonomy engineering teams to ensure simulation coverage of common and rare driving scenarios and ODD elements
- Drive traceability between simulations and scenario and ODD database
- Analyze simulation results to identify performance trends, uncover potential issues, and provide insights for improvements
- Coordinate with Testing and Validation team to ensure simulation results are consistent with real-world testing
- Develop methods for evaluating simulation performance against safety performance indicators
- Identify and drive improvements to simulation technology and infrastructure
- Establish and oversee processes for high-quality simulation development.
Skills and Abilities
Success in this role typically requires the following competencies:
- Strong understanding of autonomous driving technology
- Demonstrated experience with autonomous vehicle simulation platforms
- Ability to prioritize and plan complex deliverables
- Willingness to adapt role and responsibilities to respond to changing simulation needs
- Strong communication skills with technical and non-technical teams
- Familiarity with product and software life cycles
- Comfortable continuously learning new software and workflows
Qualifications and Experience
Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:
Required
- B.S. Degree in Computer Science, Computer Engineering, or an equivalent degree
- 5+ year’s experience in automotive testing and 2+ year’s experience creating simulations for autonomous driving software
- Coding and/or scripting experience in high level languages (Java / Python)
Desirable
- Experience testing vehicles or autonomous robotic systems
- Previous contributions to engineering processes
- Experience using Linux-based operating systems
- Knowledge of autonomous vehicle safety standards
- Familiarity with Applied Intuition simulation software suite a plus
- Experience working in a startup
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%
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.
Salary Range
$150,000—$188,000 USD
May Mobility number of job openings over time by month
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