Jobs / United States / May Mobility INC

May Mobility INC

Systems Engineer II

Ann Arbor, MI - Hybrid Posted 14 days ago

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Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 10 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What May Mobility INC paid sponsored hires in similar roles3 certified filings for “Senior Systems Engineer II” (Robotics Engineers) in MI: $103k–$155k, median $146k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 10 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What May Mobility INC paid sponsored hires in similar roles
3 certified filings for “Senior Systems Engineer II” (Robotics Engineers) in MI: $103k–$155k, median $146k. Most were filed at wage level IV (67%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

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 Systems Engineer II leverages a comprehensive understanding of the company's products and technologies to facilitate cross-functional engineering initiatives. This role will support system design activities, ensure alignment with requirements and collaborate with test and validation teams to establish verification criteria. Essential Responsibilities • Leverage a system level understanding of our products and technologies to support cross-functional engineering efforts • Create and maintain requirement specifications by: • Analyzing stakeholder, product, and safety requirements to define technical system and subsystem requirements • Supporting system design activities, assessing impact and conformance to requirements • Collaborating with test and validation team to define verification criteria for system requirements • Reviewing legacy requirements to ensure completeness and correctness • Evaluate industry and regulatory requirements for applicability to May Mobility products • Performing FMEA analysis, tracking findings to resolution • Identify gaps in processes and propose solutions for resolution • Follow safe work procedures; Use of appropriate personal protective equipment (PPE); Use of workplace tools and equipment as instructed; Report workplace hazards, injuries and illness as soon as possible. Skills and Abilities Success in this role typically requires the following competencies: • Excellent written, verbal, and presentation skills • Strong attention to detail and highly-organized • Ability to multitask and adapt to shifting priorities in a fast-paced work environment • Understanding of agile startup and engineering principles and mindset • Ability to display systems thinking and attention to detail • Detailed knowledge of requirements management and requirement-based design • Curiosity to learn and desire to improve • Passionate about self-driving cars and their impact on the world • Strong working knowledge of ADAS/Autonomous Vehicle systems • Effective communication with cross functional stakeholders • Ability to independently determine approach to high-level direction and tasks, escalating when necessary Qualifications and Experience Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience: Required • Bachelor’s Degree from an accredited university • 3+ years experience in automotive engineering working on software, hardware, or combined hardware/software products Desirable • A Masters degree in Engineering or equivalent experience • Knowledge of automotive and autonomous vehicle technologies, such as LIDAR, radar, ethernet, and CAN • Experience in Autonomous Vehicles, Machine Learning, Robotics, Internet of Things (IoT), or

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