Manager, Simulation Infrastructure
Company websitemaymobility.com (May Mobility, opens in new tab)
Base salary $181,280 to $263,500
Employer-published annual base salary, USD. Advertised base range in United States
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationUnited States
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (2 h ago) · observed since
About this job
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
As the Manager of Simulation Infrastructure, you will lead a team of full-stack and infrastructure engineers responsible for the deployment, scaling, and operational health of the web applications, databases, and cloud infrastructure supporting massive parallel batch simulation runs. You will drive the strategic roadmap, guide the architectural design of secure, high-throughput APIs, and oversee the frontend-to-backend systems that power scenario management, run orchestration, and results analytics. Additionally, you will focus on building and developing a high-performing team, fostering a culture of engineering excellence, partnering with the Simulation Engine team to align on integration interfaces, and ensuring platform reliability, observability, and cost-efficiency.
Essential Responsibilities
- Recruit, manage, and mentor a team of high-performing full-stack and infrastructure engineers, focusing on their career growth, performance, and overall team health.
- Own the strategic roadmap and execution for the web applications and tools that support simulation workflows (scenario management, run orchestration, tagging and taxonomy, and results analytics).
- Guide the architectural decisions for scalable cloud infrastructure and container orchestration designed to support massive, parallel batch simulation runs.
- Oversee the design and maintenance of relational databases and secure, high-throughput APIs that connect frontend portals to the underlying simulation systems.
- Drive engineering best practices, reliability, observability, and cost-efficiency across the platform.
- Partner closely with the Simulation Engine team and other stakeholders to align technical capabilities with business needs, define clean integration interfaces, and manage complex, multi-quarter projects.
Skills and Abilities
Success in this role typically requires the following competencies:
- Proven track record in engineering management and building healthy, high-performing technical teams.
- Deep understanding of container orchestration (e.g., Kubernetes) and architectural principles for cloud scalability, resilience, and operational health.
- Strong technical foundation in relational database design (schema design, performance tuning) and scalable backend web services (e.g., Go, Python, Node.js).
- Familiarity with modern frontend frameworks (e.g., React), plus a strong grasp of CI/CD, observability, and infrastructure-as-code methodologies.
- Exceptional communication and leadership skills, with the ability to bridge the gap between technical execution and high-level product strategy.
Qualifications and Experience
Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:
Required Qualifications:
- B.S., M.S. or Ph.D. Degree in Computer Science, Software Engineering, or a related technical field (or equivalent experience).
- 5+ years of software engineering experience spanning backend services and cloud infrastructure, including at least 2+ years of direct people management experience.
- Demonstrated experience guiding teams that operate production workloads on container orchestration platforms (e.g., Kubernetes) at scale, alongside strong relational database ecosystems (e.g., PostgreSQL).
- Solid foundational background in building secure, high-throughput APIs and web services (Go, Python, and/or Node.js) with modern frontends such as React.
- Proven experience recruiting, building, and mentoring full-stack or infrastructure engineering teams.
Desirable Qualifications:
- Experience managing teams that support large-scale batch or parallel compute workloads.
- Track record of successfully managing cloud cost optimization and observability initiatives.
- Experience overseeing teams that utilize infrastructure-as-code and mature CI/CD pipelines.
- Experience overseeing the development of internal developer tools or self-service platforms for technical users.
- Background in simulation, autonomous vehicles, or robotics.
Physical Requirements
- Standard office working conditions which includes but 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
$181,280—$263,500 USD
May Mobility uses automated tools to support — but not replace — human judgment in our recruiting process, to find out more please click here
Source: May Mobility on Greenhouse · View original posting (opens in new tab)
This listingManager, Simulation Infrastructure$181,280 to $263,500
Manager, Simulation Operations$182K to $263K
Autonomy Engineering Manager - Behavior Prediction and Intent$190K to $250K
Director, System Safety$165K to $250K
Senior Data Scientist - Metrics$163,477 to $240,408
Tech Lead, Performance Evaluation$200,591 to $295,000
Machine Learning Engineer II - Autonomous Driving Training Infrastructure$160K to $210K
Chart as a table
| Role | Published base |
|---|---|
| Manager, Simulation Infrastructure (this listing) | $181,280 - $263,500 |
| Manager, Simulation Operations | $182K - $263K |
| Autonomy Engineering Manager - Behavior Prediction and Intent | $190K - $250K |
| Director, System Safety | $165K - $250K |
| Senior Data Scientist - Metrics | $163,477 - $240,408 |
| Tech Lead, Performance Evaluation | $200,591 - $295,000 |
| Machine Learning Engineer II - Autonomous Driving Training Infrastructure | $160K - $210K |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2026-09-22
Where this pay comes from
Location as the employer wrote it: USA - Remote
$181,280—$263,500 USD
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
