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May Mobility

Autonomous vehicle mobility solutions for cities

Advanced Engineering Manager

Engineering LeadershipPosted on Nov 13
Full-timeAnn Arbor, MI, USA$120k - $200k

About the Job

Requirements

  • Hands-on automotive embedded or hardware development, with strong electrical and electronic hardware design experience.
  • Working command of Controller Area Network (CAN), Ethernet, and serial communication in test and integration settings.
  • Clear written and verbal communication, and the ability to work across functional teams.
  • Track record of delivering on aggressive schedules in a fast-paced, ambiguous environment, using test data and clear tradeoff analysis to make timely decisions and keep prototype programs on track.
  • B.S., M.S., or Ph.D. in Electrical, Computer, Mechanical, Systems, or Robotics Engineering, or a related field, or equivalent experience.
  • At least 7 years of engineering experience in autonomous vehicles, advanced driver-assistance systems (ADAS), robotics, or other safety-critical systems, with depth in compute and sensor architecture or hardware development and validation.
  • Hands-on experience leading prototype builds and hardware-in-the-loop (HIL) or bench-level testing of automotive or robotics hardware.
  • At least 3 years of direct people management experience, including hiring, performance management, and development.
  • Experience owning a team or program budget, including prototype fabrication or hardware build costs.
  • Experience defining requirements for safety-critical systems, with working knowledge of functional safety and SOTIF concepts, design failure mode and effects analysis (DFMEA), and test planning.

Responsibilities

  • Build, manage, and mentor a small team of specialists in hardware, compute and sensors, software interface, systems, and test, with regular feedback and technical growth plans.
  • Collaborate closely with Perception, Motion Planning, and Controls teams to understand tradeoffs and resolve conflicts.
  • Own the team’s budget, timelines, scope, and staffing, and report progress and risks to engineering leadership.
  • Define and maintain a 24-month technical roadmap for next-generation compute and sensors, with clear targets and milestones.
  • Scout and evaluate emerging technology within the team and decide what to pursue, prototype, or pass on.
  • Lead compute and sensor hardware specification and selection with suppliers, and characterize software performance on target hardware to find bottlenecks and recommend hardware or software fixes.
  • Own the prototype development process by defining stages, review gates, and exit criteria that take an idea from concept to a tested prototype, and keep the team consistent in how it builds, tests, and documents.
  • Own prototype builds end to end, including design, fabrication, integration into the vehicle platform, and bring-up, and manage the budget, suppliers, and schedule behind them.
  • Own HIL benches, including their CAN, Ethernet, and serial interfaces, and unit- and subsystem-level testing, using the V-model, DFMEA, requirements management, and test planning so results lead to clear decisions.
  • Hand off hardware prototypes, test assets, and proven designs to production engineering without giving up safety or scalability.
  • Demonstrate competency through refined integration requirements for May’s systems that let Product Development and the core engineering team implement the latest technology in the portfolio successfully.
  • Work with the safety team so early designs align with ISO 26262, SOTIF (ISO 21448), and UL 4600, and prototypes can be tested safely on public roads.

Desired Qualifications

  • Hands-on experience with 4D imaging radar, solid-state LiDAR, or automotive high-compute platforms, including bill of materials (BOM) cost and power tradeoffs.
  • Experience building or running HIL benches, or defining a stage-gate prototype development process.
  • Experience with multi-core, lockstep, and watchdog processor architectures, embedded real-time operating systems (RTOS), and functional-safety-qualified software.
  • Experience with UL 4600, safety case development, or Automotive SPICE (ASPICE)-style development processes.
  • A record of moving R&D work into production with suppliers and contract manufacturers.
  • Advanced degree in a relevant field.

About the Company

May Mobility

Autonomous vehicle mobility solutions for cities

May Mobility builds autonomous mobility solutions by partnering with cities and businesses to offer self-driving passenger transportation and related services. Its system relies on on-board, real-time simulations that let the vehicle anticipate and safely respond to a wide range of road scenarios, enabling safe navigation in urban environments. Unlike many competitors that rely on external testing or staged environments, May Mobility emphasizes safety by continuously simulating potential situations on board to prevent risky maneuvers. The company differentiates itself through its city-focused partnerships and its emphasis on improving urban mobility, safety, and environmental impact. Its goal is to make cities more accessible and visually appealing by transforming how people move, using autonomous vehicles as a practical, scalable mobility solution.

Company size
201-500
Company stage
IPO
Headquarters
Ann Arbor, MI
Founded
2017

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