May Mobility Logo

Senior Manager, Autonomy Safety

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 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.

Job Summary

The Product Safety team is seeking a technical leader with experience in the full end to end development lifecycle for Autonomous Vehicle. As the technical leader, you will need to stay current on industry best practices and standards and guide the development of May Mobility’s safety strategy considering relevant standard UL. 4600. ISO 21448, ISO 8800. This leader role provides safety guidance to the engineering development teams that are focused on development, and assess their work products.. As a Senior Manager/Lead Engineer, this role is expected to lead a team of Safety Engineers through development, management, and mentorship.

As the Technical Lead, you will be responsible for working with our partners and customers to define safety strategies and targets for autonomous driving systems, understand their challenges and needs, and collaborate on new learning solutions. You will apply your experience with ISO 8800 and ISO 24118 to ensure we develop, deploy and maintain safe autonomous systems in simulation, on closed courses and on public roads.

Essential Responsibilities

Referencing ISO 8800, ISO 21448 and AV industry best practices, develop the strategy for ensuring safe autonomous system development, deployment and maintenance.
Set the strategy for how we systematically break down operational design domain components and driving behavior components and how these are validated in aggregate and on a per behavior level.
Work with software, data science and systems engineering teams to ensure May Mobility safely trains new machine learning models to solve complex problems.
Set the safety standard for how we prototype, test and deploy new AI solutions.Set the strategy for testing and validation of data sets and develop an assurance plan.
Work with data science, systems engineering and software teams to set the strategy for how we establish safety launch targets (SPI- Safety Performance index) across vehicle behaviors and in aggregate.
Create and confirm the detailed functional safety case according UL4600 and ISO26262 including a schedule to hit the company’s product launches
Own and manage the safety plan and ensure that the schedule and required artifacts are met
Train and coach the development team through every aspect of the safety plan through appropriate process and methods
Communicate with all required stakeholders to identify and define technical/ system requirements, safety requirements tied to the safety goals.
Ensure that functional safety confirmation measures such as audits and assessments are planned and complete.

Skills and Abilities

Success in this role typically requires the following competencies:

Excellent communication and presentation skills.
Hands-on with an analytical mindset and a proven track record of problem-solving.
Palpable enthusiasm for cutting-edge innovation in self-driving technologies and safety products
A high level of initiative and activation. Must be able to enthusiastically take on challenges, including those peripheral to core responsibilities when needed for project success.
Machine Learning & AI Safety: ISO 8800, ISO 24118 and other applicable industry standards and best practices for autonomous vehicles, aerospace and/or robotics.
Experience in Safety Leadership (combination of two or more ISO26262, ISO 21448 and UL 4600)
An ability to clearly and concisely communicate technical concepts including root cause analysis, technical challenges and their solutions, and results backed by data.
Strong problem-solving mindset and a proactive attitude towards learning and self-improvement

Qualifications and Experience

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

Required

Bachelor's degree or equivalent experience. Engineering, Computer Science or highly technical degree preferred
At least 10 years of prior experience as an engineer or in Autonomous Vehicle Development
Demonstrated Safety case management (from conception to release) in any industry preferred in AV.

Desirable

Master’s degree in Computer Engineering, Electrical Engineering, or similar field
Experience in Safety Leadership (combination of two or more ISO26262, ISO 21448, ISO 21434 and UL 4600)
Functional Safety Engineer/Professional/Expert Certification
Proven track record as a Safety Manager through a complete product lifecycle
Experience with ADS integration

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

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

$155,000 - $180,000 USD

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

Create a Job Alert

Interested in building your career at May Mobility? Get future opportunities sent straight to your email.

Apply for this job

indicates a required field