Job Summary

The Director, System Safety leads May Mobility's day-to-day product safety function — driving the L4 safety case, the Driver-Out (DO) gated deployment plan with strategic ride-hail partners, and the Safety Management System (SMS) build-out. Reporting to the VP, Safety & Validation, the role manages a multi-disciplinary team across systems and programs, test execution, and safety risk and process. The Director partners with the VP on external regulatory and partner relationships and is the primary internal owner of the safety roadmap. This role inherits a mature roadmap and bench, and will execute the next 18 months of L4 commercial expansion across the US and Japan.

Essential Responsibilities

• Lead a multi-disciplinary team across systems, test execution, and safety risk and process/SMS
• Drive the Driver-Out (DO) gated deployment plan with strategic ride-hail partners (Lyft, Uber) — internal gating, partner safety onsites, and recommendation packages for go/no-go decisions 
• Own the Safety Case Framework for May's L4 systems, including HARA, FTA, FMEA, and runtime-monitor coverage for the MPDM-based decision-making stack, with ML-aware safety analysis 
• Build out and operationalize the Safety Management System (SMS): incident risk assessment process, risk register automation, recall response plan, safety gating test suite, and the Product Safety Competency Register.
• Define safety architecture — partner with Autonomy, Validation, and Hardware to ensure safety-by-construction across future releases (scalable runtime monitoring, ODD enforcement, Driver-Anomaly response systems).
• Execute on May's L4 Japan compliance plan — partner with the Systems & Japan Programs Manager and the Japan Regulatory Safety Engineer on partner engagement and bilingual regulator response cadences.
• Co-lead strategic partner safety onsites (e.g., Uber Safety Onsite cadence) with the VP, Safety & Validation; own the technical narrative in OEM, ride-hail, and regulator forums.
• Hire and onboard the open safety roles and develop existing leaders in the org.

Skills and Abilities

Success in this role typically requires the following competencies:

• L4 Safety Case Architecture: Owns the safety case end-to-end — including ML-aware analysis (ISO 21448, ISO 8800). Has personally contributed to an L4 safety case, not only reviewed one.
• AI-Native Safety Mindset: Has built safety arguments for learned components (neural-network planners, transformer-based driving stacks, end-to-end models) where the V-model alone is insufficient. Comfortable defining runtime monitors, distributional-shift mitigations, and uncertainty-quantification strategies that anchor a credible safety case for ML-based decision-making.
• Data-Driven Safety: Has used vehicle telemetry, simulation results, or operational metrics to change a safety roadmap, gate a release, or escalate a risk. Partners naturally with data science and ML engineers to define safety KPIs and guard-rails grounded in evidence.
• Driver-Out / Driverless Deployment Execution: Has been a key contributor to the gating, partner-readiness, and regulator steps required to remove the safety driver from a commercial AV deployment. Comfortable owning the technical recommendation behind a go/no-go decision.
• Partner & Regulator Engagement: Co-leads safety conversations with strategic commercial partners (ride-hail, OEM, transit agency) and regulators alongside an executive sponsor — represents technical depth credibly without losing the audience.
• People Leadership: Has managed managers or has managed a team of senior ICs and is ready to step up to manager-of-managers. Track record of hiring under ambiguity and onboarding leaders into existing programs.
• SMS and Safety Process Build-Out: Has contributed to standing up or substantively expanding a Safety Management System — incident investigation, near-miss reporting, risk register operationalization, recall process. Cross-pollination from aviation SMS, rail, or another safety-critical industry is welcome.
• Operational Bias to Closure: Pulls plans through gates. Comfortable in a startup pace where the safety org is being built in parallel with commercial deployment, including across multiple time zones.
• Communication: Demonstrated ability to communicate, present and influence credibly and efficiently at all levels of the organization, including executive and C-level.

Qualifications and Experience

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

• 8+ years in product or system safety engineering, with 3+ years on L3+ AV or comparable hard-tech safety programs (aviation, rail, robotics).
• BA/BS degree in engineering, computer science, or a related technical field; advanced degree preferred.
• Direct experience authoring safety case work products (HARA, FTA, FMEA, safety case construction) on a shipping vehicle or equivalent cyber-physical program.
• Hands-on contribution to at least one driverless or driver-out commercial deployment milestone — named on the safety recommendation.
• 3+ years managing engineers, including at least one stint managing a manager OR leading a team of senior ICs and ready to step up to manager-of-managers.
• Experience working with regulators (NHTSA, FMCSA, FTA, state DMVs, MLIT, or international equivalents) — direct or in close partnership with an executive sponsor.
• Working knowledge of ML-driven decision-making safety standards (ISO 21448 SOTIF, ISO 8800) and traditional functional safety (ISO 26262) preferred.
• Experience in Automotive, AV, Aerospace, or another safety-critical regulated industry is highly preferred.
• Proven success working in a start-up or small business where there are minimal resources, nothing comes easy, and things don't always work as planned.
• Strongly preferred: prior experience at an AV or AI-driving company with an end-to-end learned or ML-heavy autonomy stack.
• Preferred: experience contributing to a published safety assurance framework or runtime-monitoring methodology for learned components.
• Familiarity with the safety-cybersecurity intersection (ISO/SAE 21434, NHTSA Cybersecurity Best Practices) is a plus — May's product cyber and safety functions partner closely.
• Ability to undergo a driving record check.
• Preferred: technical credibility — comfortable reading safety-relevant C++ or Python in code review, with hands-on use of data tools (Jupyter, Databricks, Power BI) and AI-assisted analysis within the last 24 months to interrogate operational data themselves.

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%

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.

Job Summary

May Mobility is building the future of safe, reliable autonomous transportation. As the SMS Lead, you will own and operate the company’s Safety Management System — the program backbone that governs how safety objectives are set, how safety performance is measured, how incidents are tracked and learned from, and how a safety culture is sustained across the organization. This is a dedicated SMS program role: hazard identification and risk assessment are owned by our Risk Management Lead, and safety case development sits with our Safety Case Lead. Your mandate is to make the SMS itself work — as a living, auditable, regulation-aligned system that ties those functions together.

You will anchor the SMS in ICAO Doc 9859’s four-pillar structure and ensure obligations flowing from UN ECE R157 and UL 4600 are reflected in our program-level documentation and governance. If you are energized by building and running rigorous safety programs — not just writing documents but making them real — this role is for you.

Essential Responsibilities

SMS Program Ownership

• Own the end-to-end lifecycle of the May Mobility Safety Management System, including the Safety Policy (MM-SMS-POL-001) and all subordinate SMS procedures, work instructions, forms, and records.
• Maintain alignment of the SMS structure with the ICAO Doc 9859 four-pillar framework (Safety Policy & Objectives, Safety Risk Management, Safety Assurance, Safety Promotion) and map regulatory obligations from UN ECE R157 and UL 4600 into the SMS document hierarchy.
• Own the SMS document control process: version management, review cycles, approval workflows, and controlled distribution.
• Drive annual SMS reviews and gap analyses; track open findings and corrective actions through to closure.

Safety Performance Monitoring & Measurement

• Establish and maintain the company’s Safety Performance Monitoring & Measurement (SPMM) program, including definition of safety performance indicators (SPIs) and safety performance targets (SPTs) across lagging and leading dimensions.
• Collect, analyze, and report safety performance data on a recurring cadence; surface trends, anomalies, and systemic issues to safety leadership.
• Maintain the Safety Review Board (SRB) reporting package; produce executive-level safety dashboards and periodic safety reports.
• Interface with the Risk Management Lead and Safety Case Lead to ensure SMS performance data informs risk register updates and safety case evidence.

Incident Reporting & Investigation Coordination

• Track the company’s safety occurrence reporting and investigation coordination process; ensure incidents, near-misses, and hazard reports are captured, triaged, and routed to the appropriate functional owner.
• Maintain the occurrence database and ensure investigation closure records are complete and traceable within the SMS.
• Coordinate lessons-learned and after-action review processes; ensure outputs are fed back into SMS procedures and training materials.
• Serve as the SMS point of contact for regulatory occurrence reporting obligations (NHTSA voluntary reporting, state-level AV incident reporting).

SMS Audits & Compliance

• Plan and coordinate internal SMS audits; manage findings, corrective/preventive actions (CAPAs), and closure verification.
• Maintain audit readiness across all SMS documentation; serve as the primary contact for third-party or regulatory SMS assessments.
• Track evolving regulatory requirements (UN ECE WP.29, NHTSA AV guidance, state AV frameworks) and assess their impact on the SMS program; initiate updates as required.

Safety Promotion & Culture

• Champion a non-punitive, just safety culture across engineering, operations, and fleet management teams.
• Design and deliver SMS training programs for new hire onboarding, role-specific SMS competency, and recurrent safety awareness.
• Maintain the safety communication plan; manage internal safety bulletins, lessons-learned dissemination, and safety awareness campaigns.

Cross-Functional Integration

• Partner with the Risk Management Lead and Safety Case Lead to ensure the SMS program provides the governance structure that supports their respective outputs.
• Embed SMS requirements and reporting checkpoints into program milestone gates in coordination with Systems Engineering, Operations, and Program Management.
• Interface with the Director/VP of Safety on SMS maturity roadmap, resource needs, and organizational safety strategy.

Skills and Abilities

Success in this role typically requires the following competencies:

• Deep working knowledge of safety management system frameworks: ICAO Doc 9859 (primary), UN ECE R157, UL 4600, and/or MIL-STD-882.
• Demonstrated experience building or operating SMS program infrastructure: document control, SPMM, occurrence reporting, audit management, and safety promotion.
• Sufficient fluency in automotive and AV safety standards (ISO 26262, ISO 21448, ISO 8800) to integrate SMS obligations with engineering safety activities — without needing to own those activities.
• Strong analytical skills: able to define meaningful SPIs, identify performance trends, and communicate data-driven safety insights.
• Excellent written and verbal communication; proven ability to produce executive-level safety reports and regulatory submissions.
• Demonstrated ability to influence without authority and drive cross-functional alignment on program governance and compliance.
• Experience managing regulatory interactions (NHTSA, FMCSA, state AV regulators, or equivalent) is a strong plus.

Qualifications and Experience

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

Required Qualifications:

• Bachelor’s degree in Systems Engineering, Aerospace Engineering, Industrial Engineering, or a closely related technical field.
• 5+ years of experience in safety management, safety program management, or safety engineering in a regulated or safety-critical industry.
• 3+ years of direct, hands-on experience owning or significantly contributing to a formal Safety Management System (SMS) program — aerospace, rail, automotive, or AV domains strongly preferred.
• Demonstrated experience with SMS documentation, SPMM program design, occurrence reporting systems, and internal audit coordination.
• Familiarity with UN ECE R157 / WP.29 AV regulatory framework and ICAO Doc 9859 SMS structure.

Desirable Qualifications:

• Master’s degree in a relevant engineering or safety discipline.
• SMS Lead or Safety Management System certification (e.g., ISASI, IATA SMS, SMS Pro, or equivalent).
• Experience in the autonomous vehicle, ADAS, advanced aviation, or robotics domain.
• Familiarity with UL 4600 SMS and safety assurance requirements for AV systems.
• Experience interfacing with NHTSA, state DMVs, or other AV regulatory bodies on safety program submissions.
• Software Development Knowledge & Practical Application: has run their own analyses of safety performance data (SPIs, SPTs, occurrence trends, audit findings) within the last 24 months using Power BI, Excel, SQL, or AI / automation tools, and interprets engineering safety artifacts produced by the Risk Management and Safety Case Leads without depending on a data analyst.

Physical Requirements

• Standard office working conditions which includes but not limited to:
• Prolonged sitting
• Prolonged standing
• Prolonged computer use

Travel Required?  Minimal 0-10%

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.

Job Summary

May Mobility is entering an exciting phase of growth and our team is expanding quickly. You will have an opportunity to independently impact our approach to solving the most interesting problems facing AV’s today, while operating live in the wild. The Site Autonomy Engineer’s primary role will be hands-on support of the operational fleet in respective site location. The engineer will work intimately with the electromechanical and software elements of the system to ensure the success of the launch and safety of the autonomous operation.

Essential Responsibilities

• Coordinates and implements vehicle upfits to support fleet upgrades and initiatives
• Debugs electrical and mechanical issues on the vehicles 
• Executes on-site sensor calibrations
• Executes on-site testing of feature improvements
• Build and maintain local May Mobility mapping assets
• Performs preventative maintenance on May vehicles 
• Records issues found and resolutions, escalating in proper channels as necessary
• Assists in testing the autonomous operation of the vehicle to ensure it follows May’s standards for safety and rider comfort 
• Implements hardware changes in the field, ensuring safe operation for return to service
• Communicates issues and successes to the engineering team, and drives resolution
• Perform data acquisition by utilizing vehicle sensor suite
• Coordinates and develops the on-site configuration and deployment of autonomous technology in designated locations
• Assist in fleet cleanliness and demo readiness
• Other duties as assigned

Skills and Abilities

Success in this role typically requires the following competencies:

• Impeccable discretion and integrity when handling confidential or sensitive information
• Ability to understand and relate to the agile startup and engineering mindset
• 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
• Passionate about self-driving cars and their impact on the world

Qualifications and Experience

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

Required

• Bachelor’s Degree in Mechanical, Electrical Engineering, or relevant experience
• Experience and comfort in computing environments, especially Linux
• Ability to read and understand mechanical and/or electrical schematics
• Safety-first approach to all work 
• Knowledge of wire harnesses and basic mechanical subsystems 
• Ability to debug and modify mechanical and electrical systems 
• Ability to diagnose and troubleshoot mechanical and electrical systems
• Systems-level thinking
• Experience using Git and GitHub or Gitlab, or ability to learn
• Valid U.S. Driver's License

Physical Requirements

• Standard site working conditions which includes but is not limited to:
• Must be able to remain in a stationary position 50% or more of the time
• Must be able to move and / or change positions often when needed
• Prolonged computer use
• Flexibility to work weekends and adjust schedule to align with site operating hours and project needs, including early mornings, evenings, and holidays as required.
• Ability to lift up to 50 lbs
• Ability to stand for prolonged periods of time and climb ladders (infrequent)
• Ability to work outdoors in varying temperatures and weather conditions

• Travel required? -  Minimal: 0-10%

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.

Essential Responsibilities

• Anticipate the Exec’s needs and act proactively to address them, including preparing meeting materials, briefing documents, and agenda items in advance.
• Monitor deadlines and follow up on action items, ensuring timely completion of tasks and facilitating effective decision-making.
• Ensure agendas and necessary documents / materials are provided 24 hours prior to a scheduled meeting 100% of the time
• Proactively manage the Execs calendar, including scheduling, prioritizing appointments, and coordinating all internal and external meetings.
• Attend meetings as needed, with a focus on driving organizational efficiency
• Manage travel logistics to include, flights, hotel, car rental, reimbursements, etc.
• Work closely with administrative staff and Chief of Staff to continually streamline and simplify meetings and team workflow across May
• Supporting multiple Senior Executive staff
• Answers general calls and emails for the main office and greets visitors.
• Ensure the Executive team is kept up to date on relevant news and information by sending announcements, newsletters, etc.
• Provide support for across teams such as marketing, sales, people, operations for special projects 
• Plan company events including social, professional development, and business development
• Manage, process, and review expenses for the executives, and their team’s direct reports as needed
• Partner consistently and efficiently with other members of the EA team and cross-functional partners across the org
• Schedule internal and external meetings with a variety of cross-functional partners
• Coordinate meetings across time zones
• Respond and take action on a high volume of slacks and emails with urgency and professionalism
• Map out and circulate meeting agendas, facilitate meetings, and manage post-meeting follow-ups
• Other duties as assigned

Skills and Abilities

Success in this role typically requires the following competencies:

• Impeccable discretion and integrity when handling confidential or sensitive information
• Ability to understand and relate to the agile startup and engineering mindset
• 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
• Passionate about self-driving cars and their impact on the world

Qualifications and Experience

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

Required

• 7 + years of experience supporting multiple Senior Executives.
• Experienced in executive scheduling, team coordination, and flexible environments
• Demonstrated a high level of initiative and professionalism.
• Strong time management and problem-solving skills with the ability to prioritize work.
• Outstanding written and verbal communication skills, with close attention to detail.
• Strong organizational skills with the ability to define and take on new responsibilities
• Ability to handle highly confidential information with sensitivity and professionalism.

Desirable

• Experience using Google Suite
  
  

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.

May’s Autonomous Release Engineers are front line problem solvers that get things done. They have the initiative, experience, and technical skill to be able to solve problems delegated to them without oversight.  Confidence backed by knowledge and experience is a must.

This role sits at the intersection of:

• Release execution & CI/CD
• Autonomy system integration & debugging
• Validation, simulation, and safety gating

You will ensure not only that software is releasable, but that it is safe, well-understood, and performs reliably in real-world conditions. As an Autonomous Release Engineer, you will contribute to solving challenging and complex problems facing vehicle autonomy — building the tools, instrumentation, and processes that make releases faster, safer, and more confident.

Autonomous Release Engineers are responsible for the integrated functioning of the autonomy system. Release Engineers interact with sensor hardware, middleware, autonomy software stack, networking, health monitoring, compute platforms, and electronic systems. A key part of this role is building and improving the tooling and automation that supports release validation, readiness assessment, and system health monitoring. You will be a go-to person for understanding how new features fit in, how the system might fail, and how to keep the system working reliably.

This is a hands-on, systems-oriented role requiring strong technical judgment and a builder's mindset. You are expected to actively challenge release readiness when necessary and act as a safeguard for system quality — not just execute process. You will play a key role in scaling release cadence without compromising safety, partnering closely with autonomy, infrastructure, engineering, validation, and operations teams. This position reports to the Sr. Manager, Autonomy Technical Release.

Essential Responsibilities

• Release ownership and execution across major autonomy releases, incremental/performance releases, and hotfix/safety patches
• Manage branching strategy, versioning, and release cut processes
• Drive release readiness and go/no-go decisions in partnership with cross-functional teams
• Design, build, and maintain internal tooling to support:
• Release readiness dashboards and automated health checks
• Simulation corpus integration and regression tracking
• Release metrics collection, reporting, and visualization
• Automated validation signal aggregation across sim, HIL, and on-road testing
• Investigate and resolve complex issues arising from software/hardware interactions, distributed systems behavior, and on-vehicle vs. simulation discrepancies
• Develop working understanding of sensor stack, middleware, autonomy stack, compute platforms, networking, and vehicle configurations
• Enforce stage-gated release framework: Feature Complete → Code Freeze → Validation → Release Candidate
• Integrate and interpret validation signals including simulation corpus results, regression testing, and vehicle testing
• Ensure safety-critical issues are identified, tracked, and gated appropriately
• Identify opportunities to improve system robustness, performance, and scalability — and build tooling to measure and track improvements
• Support autonomy engineers in designing and integrating their components with the full May system
• Contribute to and help maintain the team's knowledge base, runbooks, and release documentation

Skills and Abilities

• Strong analytical and systems-thinking skills — comfortable reasoning about complex, multi-component systems
• Proficient in Python for scripting, automation, and tool development
• Familiarity with data pipelines, metrics collection, and visualization tools (e.g. Plotly Dash, Tableau, AWS QuickSight, or similar)
• Ability to read and interpret logs, telemetry, and system health signals to identify root cause
• Comfort working across hardware and software boundaries
• Strong written and verbal communication — able to translate technical findings into clear release decisions
• Ability to work cross-functionally without direct authority
• Eagerness to continuously learn new systems, tools, and workflows

Qualifications and Experience

• Bachelor's degree in Computer Science, Electrical Engineering, Robotics, or a related technical field — or equivalent practical experience
• 2–4 years of relevant experience in software engineering, release engineering, systems engineering, or a related discipline
• Proficiency in Python; comfort with Bash scripting and Linux environments
• Basic to intermediate experience with SQL and/or data querying
• Familiarity with version control systems (Git) and branching strategies
• Strong troubleshooting instincts and attention to detail

Nice to Have

• Experience with autonomous vehicle or robotics systems
• Familiarity with CI/CD pipelines and release automation
• Exposure to simulation frameworks or hardware-in-the-loop testing
• Basic C/C++ reading ability for debugging and code analysis
• Experience building internal tools or dashboards for engineering teams

Physical Requirements

• Standard office working conditions which includes but is not limited to:
• Prolonged sitting
• Prolonged standing
• Prolonged computer use

Travel required? -  No: 0%

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.

Job Summary

May Mobility is entering into an exciting phase of growth as we expand our first-of-its-kind autonomous shuttle and mobility services across the nation. We are looking for an experienced Site Manager to lead an operational site. 

• Do you love managing complex technical operations and systems?
• Are you an empathetic communicator and collaborative problem solver? Can you bring an exceptional balance of people skills and process-driven focus to the team?
• Are you capable of thriving in a startup environment where no two days are the same, and willing to tackle both large and small tasks with an “all hands on deck” mentality?
• Do you have a high level of personal responsibility that allows you to lead by example, easily navigate between smooth and hectic shifts, and effectively assess and execute on priority decisions?

If you answered “yes” to these questions, this could be the role for you!

As a Site Operations Manager, you will oversee a team of Site Supervisors, Technicians, and contracted Autonomous Vehicle Operators to run seamless shuttle operations. You will be directly responsible to our business partners, customers, and passengers, ultimately becoming an expert in making May Mobility a part of the city’s transportation culture.

You will report to the May Mobility Customer Operations Manager and will be vital in ensuring that May Mobility exceeds expectations for quality, safety, and reliability.

Essential Responsibilities

• Ensure that operations follow rigorous safety guidelines; continuously develop a culture of safety that is beyond reproach
• Implement and oversee daily protocols and reporting; track site performance metrics to systematically improve outcomes
• Responsible for meeting financial goals and aligning spending with the site operating budget 
• Ensure exceptional service for both customers and passengers
• Partner with People Operations to make staffing and performance management decisions for the site
• Ensure that site staff seamlessly communicates with engineers when a technical issue arises or requires escalation
• Partner with Field Operations to train new site leadership and test new rollouts of vehicle technology
• Create a work environment that values all team members and embodies May Mobility values 
• Cover shifts across days and times that fall outside normal business hours
• Up to 10% travel required

Skills and Abilities

Success in this role typically requires the following competencies:

• Ability to lead multiple small teams at once
• Identifying trends or product gaps and properly escalating 
• Strong collaboration skills with both internal and external stakeholders
• Comfortable with communicating and representing the company publicly
• Driving solutions by goal setting and creating a path towards improvement
• Ability to work effectively with team members at all levels of the organization
• Ability to lift up to 50 lbs
• Ability to stand for prolonged periods of time and climb ladders (infrequent)
• Ability to work outdoors in varying temperatures and weather conditions

Qualifications and Experience

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

Required

• Associates degree or higher in Business, Technical Operations, or other degree
• 3+ years experience as a people leader in a fast-adapting and customer-focused environment
• Previous experience as a formal people leader in a fast adapting and customer-focused environment
• Proven experience making judgment calls in ambiguous situations 
• Previous experience developing processes and managing projects
• Excellent written and verbal communication skills across multiple platforms; strict attention to detail in every situation
• Valid U.S. Driver's License
• Willingness to undergo a driving record check

Desirable

• Bachelor's degree or higher in Business, Technical Operations, or related degree, or equivalent experience
• Leadership experience in a startup environment
• Proven change management experience
• Prior experience in an operations or logistics background
• Working knowledge of Google Suite, Slack, Jira and Asana
  
  

Physical Requirements

• Standard site working conditions which includes but is not limited to:
• Must be able to remain in a stationary position 50% or more of the time
• Must be able to move and / or change positions often when needed
• Prolonged computer use
• May need to lift up to 50 pounds
• Install hardware and software

• Travel required? -  Frequent: 26%-50%

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.

May’s Autonomous Release Engineers are front line problem solvers that get things done. They have the initiative, experience, and technical skill to be able to solve problems delegated to them without oversight.  Confidence backed by knowledge and experience is a must.

This role sits at the intersection of:

• Release execution & CI/CD
• Autonomy system integration & debugging
• Validation, simulation, and safety gating

You will ensure not only that software is releasable, but that it is safe, well-understood, and performs reliably in real-world conditions.

As a Senior Autonomous Release Engineer you will lead the solution of challenging and complex problems facing vehicle autonomy.  You will lead the design of future May autonomy systems and track down and solve the system’s most difficult issues. 

Autonomous Release Engineers are responsible for the integrated functioning of the autonomy system.  Release Engineers interact with sensor hardware, middleware, autonomy software stack, networking, health monitoring, compute platforms and electronic systems. Release Engineers drive forward architectural design and hardware/software design through collaboration across other engineering groups.  Additionally, Release Engineers create instrumentation to prove that the autonomy system is functioning correctly.  You will be a go to person for understanding how new features will fit in, how the system might fail, how to best evolve the system to be more effective or efficient, and how to keep the system working.  

This is a hands-on, systems-oriented role requiring strong technical judgment. You are expected to actively challenge release readiness when necessary and act as a safeguard for system quality, not just execute process. You will play a key role in scaling release cadence without compromising safety, partnering closely with autonomy, infrastructure, engineering, validation, and operations teams. You will set an example of initiative, data-driven decision making, design, and trouble-shooting. This position reports to the Sr. Manager, Autonomy Technical Release..

Essential Responsibilities

• Release ownership and release execution end-to-end across:
  • Major autonomy releases
  • Incremental/performance releases
  • Hotfix/safety patches

• Manage branching strategy, versioning, and release cut processes
• Drive release readiness and go/no-go decisions
• Partner cross-functionally with Autonomy, Infra, Validation, and Fleet Ops

• Act as a system owner for release readiness
  Investigate and resolve complex issues arising from:
• Software/hardware interactions
• Distributed systems behavior
• On-vehicle vs simulation discrepancies
• Develop deep understanding of:
• Sensor stack, middleware, autonomy stack
• Compute platforms, networking, configurations
• Be the go-to for:
• “Why does this fail in the real world?”
• “What changed between releases?”
• Enforce stage-gated release framework:
• Feature Complete → Code Freeze → Validation → Release Candidate
• Integrate validation signals:
• Simulation corpus results
• Regression testing
• Vehicle testing (HIL / on-road)
• Ensure safety-critical issues are identified, tracked, and gated
• Take initiative to find and permanently solve challenging system level issues caused by the interplay between different software and hardware components.
• Collaborate and lead system-wide improvements when working with other teams without having direct ownership or management responsibility. 
• Assess and develop approaches that scale and improve performance in a variety of ways (e.g. CPU performance, memory usage, disk usage, network usage).
• Assess and improve system robustness to systematic stochastic and transient issues that impact autonomous vehicle performance.
• Support other autonomy engineers in designing and integrating their components with the full May system.

Qualifications and Experience

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

Required

• 7+ years in autonomous systems, release engineering, and DevOps
• Strong Python and scripting skills
• Working knowledge or familiarity with C/C++
• Experience working across full product lifecycle
• Proven ability to debug complex system-level issues
• Strong communication skills across technical domains

Desirable

• 10+ years of experience in autonomous robotic systems, DevOps and release engineering
• Experience with autonomous cars, trucks, or similar vehicles.
• A masters or PhD degree in Robotics, Computer Science, Computer Engineering, Electrical Engineering or an applied engineering field.
• Previous experience in a startup or high performance research and development group with an emphasis on delivery
• Experience with AV or robotics systems
• Familiarity with:
• Simulation frameworks
• HIL / vehicle testing
• Safety-critical systems (ISO 26262, SOTIF)

Physical Requirements

• Standard office working conditions which includes but is not limited to:
• Prolonged sitting
• Prolonged standing
• Prolonged computer use

Travel required? -  No: 0%

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.

The Autonomy Mapping & Localization group's mission is to provide our vehicles with world-class spatial intelligence, semantic and topological mapping, and state estimation to model and navigate complex urban, suburban, and rural environments. We are looking for a Staff Autonomy Engineer to join our team and architect the next generation of our mapping and localization stack. As the Staff Autonomy Engineer for Localization, you will be at the forefront of this mission, building the production-grade multimodal localization foundation that allows our vehicles to navigate the world's most challenging roads at scale.

Essential Responsibilities

• Architect and lead the development of a production-grade, multimodal localization stack, integrating Cameras, LiDAR, Radar, GNSS, and IMU data to ensure centimeter-level accuracy and high availability.
• Design and implement advanced state estimation frameworks, such as Factor Graphs or sliding-window optimization (e.g., GTSAM, Ceres), optimized for real-time performance and robustness against sensor degradation and across diverse Operational Design Domains (ODDs).
• Own the localization integrity and safety strategy. Develop sophisticated uncertainty estimation and fault detection, isolation, and recovery (FDIR) mechanisms to meet stringent safety requirements.
• Drive technical roadmaps for next-generation localization techniques, including map and sparse landmark-based localization (Vision/LiDAR/Radar), visual-inertial odometry (VIO), and wheel-inertial odometry.
• Lead cross-functional system integration, developing software and system requirements while defining technical interfaces and performance contracts (e.g., state estimation and uncertainty bounds) between Localization and upstream and downstream modules like Perception, Behavior, Policy, and Prediction.
• Establish rigorous evaluation frameworks and metrics for localization performance, including pose accuracy, temporal consistency, and system-level reliability across diverse ODDs.
• Spearhead major feature development including high-level architecture design, code reviews, issue diagnosis, and technical resolution.
• Provide high-level technical mentorship to senior and junior engineers, conducting deep-dive design and code reviews and fostering a culture of engineering excellence and rigorous validation.
• Stay at the research frontier, evaluating and adapting cutting-edge techniques in SLAM, deep-learned localization features, and large-scale map-matching to deliver production-ready solutions.

Qualifications and Experience

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

Required

• Ph.D. or Master’s degree in Robotics, Computer Science, Electrical Engineering, or a related field with a deep mathematical foundation in state estimation.
• 10+ years of industry experience developing and deploying high-performance localization or state estimation systems for autonomous robots or vehicles, with at least 5 years in a lead/staff/principal technical role.
• Expertise in modern state estimation techniques: Deep understanding of probabilistic robotics, Factor Graphs or sliding-window optimization (e.g., GTSAM, Ceres), and Kalman filtering.
• Advanced Sensor Fusion: Proven track record of fusing disparate data sources including Cameras (Visual Odometry), LiDAR (ICP/NDT), Radar, IMU, and GNSS.
• Strong C++ Programming: Mastery of modern C++ (14/17/20) in a Linux environment, with a focus on real-time constraints, multi-threading, and performance optimization.
• System Architecture: Experience designing modular, testable software architectures for safety-critical systems.
• Leadership: Demonstrated ability to drive technical roadmaps and architectural standards while mentoring senior engineers from inception to fleet-wide deployment.

Desirable

• 12+ years of industry experience developing and deploying high-performance localization or state estimation systems, including success navigating the full product lifecycle from R&D to commercial scale-up.
• Experience with SLAM (Simultaneous Localization and Mapping) for large-scale urban, suburban, and rural environments.
• Experience with deep-learning based localization features or neural state estimation.
• Expertise in vehicle dynamics modeling and wheel odometry calibration.
• A proven record of technical leadership, inventions (patents), or publications in top-tier robotics conferences (e.g., ICRA, IROS, RSS).

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%

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.

Job Summary

As a Systems Engineer, Event Detection & Response Engineer you will leverage a comprehensive understanding of our autonomous system to facilitate high-impact, cross-functional engineering initiatives. In this role your mission is to own the detection of critical system events from vehicle logs and drive rapid issue resolution across the organization. You will design, implement, and maintain event detectors that surface safety-relevant and performance-degrading behaviors from field data, then work hand-in-hand with data engineering and simulation teams to operationalize these detectors — accelerating root cause analysis, regression coverage, and resolution cycle time.

Essential Responsibilities

• Support safety risk assessments for complex driving maneuvers to ensure functional safety goals are met, leveraging event detector outputs to quantify exposure and severity in field data.
• Design, implement, and maintain event detectors for vehicle log data — translating observed field behaviors, near-misses, and edge cases into precise, reproducible detection logic.
• Partner with data engineering and simulation teams to integrate event detectors into automated pipelines, ensuring detected events are consumed in regression suites and simulation scenario libraries to accelerate issue discovery and resolution.
• Collaborate with cross-functional teams to develop system-level concepts for critical autonomous vehicle features., with a focus on defining observable, measurable behaviors that can be monitored in production log data.
• Define and maintain system and subsystem requirements, ensuring full traceability from stakeholder needs to technical implementation., including traceability from requirement to field event detector to simulation scenario.
• Analyze large-scale vehicle log datasets to characterize event frequency, severity, and distribution across the operational design domain (ODD); communicate findings to engineering leadership and safety teams.

Qualifications and Experience

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

Required Qualifications:

• 3–5 years of experience in automotive or robotics engineering, with at least 2 years working on autonomous driving systems in a data analysis, systems, or software engineering capacity.
• Strong understanding of automotive and autonomous vehicle technologies., including sensor modalities (camera, lidar, radar), perception pipelines, and prediction/planning system behavior.
• Hands-on experience writing signal- or rule-based detectors, classifiers, or monitors against structured log data (e.g., ROS bags, Parquet/Arrow, or proprietary vehicle log formats).
• Familiarity with autonomous vehicle simulation platforms (e.g., CARLA, in-house sim); ability to translate a log-derived event into a parameterized simulation scenario.
• Ability to perform data analysis on large datasets. using Python (pandas, numpy, polars) and SQL; experience with distributed data platforms (Spark, Dask, or similar) is a plus.
• Experience using Linux, command-line interface, git or any source control is required.
• Knowledge of requirements management and requirement-based design., with experience linking field observations back to system-level requirements and safety claims.
• Strong communication skills with technical and non-technical teams.
• Comfortable continuously learning new software and workflows.

Physical Requirements

• Standard office working conditions which includes but not limited to:
• Prolonged sitting
• Prolonged standing
• Prolonged computer use
• Travel Required?  Select Expected Travel

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.

Job Summary

May Mobility is entering into an exciting phase of growth as we expand our first-of-its-kind autonomous vehicle and mobility services across the nation. As our fleets continue to grow both in numbers and technological capability, we are looking for a Field Operations Trainer to deliver hands-on, in-vehicle training to our Autonomous Vehicle Operators and Test Drivers at sites across the country. This role will report directly to our Field Operations Training Manager and will spend the vast majority of the time on the road, embedded with site operations teams during launches and ongoing support visits.

Essential Responsibilities

• Become an expert at operating May vehicles — know how they work and how to drive them safely — while occasionally driving research vehicles for training purposes.
• Deliver standardized Autonomous Vehicle Operator training programs at site operations across the country, including classroom instruction and behind-the-wheel sessions.
• Conduct on-route ride-alongs, evaluations, and safety check-offs to certify new operators before they begin revenue service.
• Provide one-on-one coaching, feedback, and refresher training to reinforce safe operating procedures and customer service best practices for riders.
• Travel to new launch sites and existing site operations to support operator training, typically in 2-3 week deployments.
• Document trainee progress, certification results, and field observations and report back to the Field Operations Training Manager.
• Follow standardized training procedures and materials consistently across sites; flag improvement ideas to the Training Manager rather than altering programs in the field.

Skills and Abilities

Success in this role typically requires the following competencies:

• Flexibility and adaptability, able to maintain focus on the day's training goals despite changing site conditions, weather, and schedules
• Comfort navigating and learning new roads, neighborhoods, and service areas quickly
• Strong communication, able to clearly explain procedures and give in-the-moment coaching
• Technical savviness — comfortable with computers, tablets, mobile apps, and learning new vehicle and software systems
• Travel proficiency — comfortable living out of a suitcase for weeks at a time
• Ability to travel 2-3 weeks at a time to field offices, up to 95% of the year

Qualifications and Experience

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

Required

• Associate's Degree or equivalent relevant work experience
• Outstanding verbal and written communication skills across multiple platforms 
• Ability to work effectively with team members at all levels of the organization
• Valid driver’s license and clean driving record for at least 3 years
• Comfortable using documents, spreadsheets, presentations, mobile apps, and learning new digital tools
• Demonstrated ability to follow process consistently and approach problems in a methodical manner

Desirable

• Prior experience training, coaching, or mentoring others (formal or informal — fleet, transit, hospitality, retail, military, etc.)
• Experience as a professional driver, fleet driver, transit operator, CDL holder, or driving instructor
• Exposure to the autonomous vehicle, robotics, or connected-vehicle space
• CPR certified
• Comfort with vehicle telematics, fleet management software, or basic vehicle diagnostics
• Current passport - prepared for potential international training deployments
  
  

Physical Requirements

• Standard office working conditions which includes but is not limited to:
• Prolonged sitting (including in vehicles during ride-alongs and on-route training)
• Prolonged standing
• Prolonged computer use

Travel required? -  Extensive: up to 95%

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.

We are seeking Machine Learning Engineers with experience in robotics applications. As part of our team, you will play a critical role in enhancing May’s Machine Learning capabilities both on and off the vehicle, in a commercial large-scale environment with high standards of quality.

Essential Responsibilities

• Work closely with senior technologists to train, optimize and evaluate vehicle-oriented Machine Learning models
• Work cross functionally with Perception, Behavior, Integration, Test and Data teams to ensure the highest quality in model performance and deployment

Skills and Abilities

Success in this role typically requires the following competencies:

• Experience and interest in one of the following specific domains:
• ML Runtime or Training Optimization
• Training Infrastructure
• Performance evaluation
• Data Centric Machine Learning
• Functional proficiency with Software concepts such as memory management, threading, databases and networking
• Familiarity with common Perception, Planning and Foundation model concepts in Autonomous Driving.

Qualifications and Experience

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

Required

• Bachelor’s or Master’s degree in Robotics, Computer Science, Computer Engineering, or a related field with strong mathematical and engineering foundations.
• A minimum of 2 years training, optimizing and/or evaluating ML Models in a commercial environment.
• Proficiency in C/C++/Python/PyTorch and experience in Linux environments.

Desirable

• Experience optimizing ML models for resource-constrained hardware
• Experience with CUDA and GPU processing techniques
• Proficiency with hard example mining, active learning or dataset composition techniques
• Experience calculating metrics for and evaluating autonomous vehicle models
• Experience building training and evaluation pipelines for large data (>100TB) or large model (>100GB) applications

Physical Requirements

• Standard office working conditions which includes but is not limited to:
• Prolonged sitting
• Prolonged standing
• Prolonged computer use

Travel required? -  Low 5-10%

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.

We are seeking Machine Learning Leaders in the Autonomous Vehicle domain. As part of our team, you will play a critical role in enhancing May’s Machine Learning capabilities both on and off the vehicle, in a commercial large-scale environment with high standards of quality.

Essential Responsibilities

• Design, train and evaluate state of the art models for May’s autonomous driving, simulation and ML Platform stack.
• Leverage emerging techniques in the End-to-End driving, Vision Language Action (VLA), World or Foundation model domains to solve commercial-scale problems.  
• Lead small teams of cross functional Engineers beyond the state of the art.
• Define data balance, training experiment and evaluation practices to train efficiently at petabyte scale.

Skills and Abilities

Success in this role typically requires the following competencies:

• Direct experience architecting & training VLA, MMLM, or Generative World Models for commercial-scale applications
• Experience composing, processing and characterizing large (>100TB) multi-modal datasets
• Experience analyzing and addressing long-tail failure cases in large models
• Experience leading teams of 2-3 Engineers and communicating technical details to interdisciplinary leadership.

Qualifications and Experience

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

Required

• Extensive practical experience in one of the following domains:
• Vision Language Action Models
• Generative World Models
• Foundation Models in Robotics
• Data Centric AI
• A minimum of 4 years of industry experience working on commercial robotics systems.
• A minimum of 1 year mentoring ML Engineers in a commercial or lab environment.
• Master’s degree in Robotics, Computer Science, or Computer Engineering, or a field that requires a strong mathematical and/or engineering foundation.
• Practical experience handling the “Long Tail” problem in Machine Learning.
• Strong programming skills in Python/PyTorch in a Linux environment.
• Functional understanding of LiDAR, Camera and Radar processing techniques.

Desirable

• PhD and/or published research in the described specialty domains.
• Familiar with common post-training techniques.
• Experience deploying models to resource constrained and edge hardware
• Functional understanding of C/C++/CUDA memory and threading models.

Physical Requirements

• Standard office working conditions which includes but is not limited to:
• Prolonged sitting
• Prolonged standing
• Prolonged computer use
• Travel required? -  Low: 5%-10%

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.

Job Summary

May Mobility is growing and expanding our team and we are seeking our first Internal Audit Manager to help us build out our internal audit function. This role reports to the Director of Accounting, with the expectation that that will grow to report directly to our CFO and Audit Committee Chair.

Essential Responsibilities

• Lead the preparation of the corporate risk assessment analysis and work with management and those charged with governance in planning audits
• Enhance the company’s control framework by contemplating documentation available to date and establishing and updating internal controls as a result of the risk assessment and business knowledge obtained within this role
• Support the execution of risk assessments for business and product areas, analyze gaps identified and recommend remediation actions for risk gaps
• Define audit scope and design control testing steps to evaluate the adequacy of the control designs and operating effectiveness
• Effectively partner with finance, legal, and cross functional stakeholders to ensure completion of remediation activities agreed upon during audit projects
• Provide guidance to all departments as to control and process best practices and assist with enhancing and establishing policies, implementation of new systems or applications incorporating responses to audit finding or recommendations
• Participate in cross-functional meetings to ensure regulatory and risk issues are properly identified and managed in new and existing product and services
• Lead trainings internally to increase awareness of internal controls
• Coordinate internal audit work performed by third-party firms
• Collaborate and provide recommendations on the future vision of the internal audit function, which includes considerations of resourcing, internal audit methods, and technology enablement
• Leads coordination with the external audit team in supporting the documentation required for internal controls for the annual audit

Skills and Abilities

Success in this role typically requires the following competencies:

• Demonstrated ability to implement new controls and processes within an organization and effectively document them
• Lead strategic advancement of the department; proactively seeking ways to elevate the technical expertise of the team
• Demonstrated ability to lead, foster and grow a team
• Identifies complex problems and devises optimal and innovative solutions that often cross organizational boundaries
• Orients work within teams to achieve business results
• Demonstrated focus on continuous improvement with regards to processes, planning and execution of activities

Qualifications and Experience

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

Required Qualifications:

• Bachelor’s degree in Accounting or Finance

• CPA and/or CIA
• Minimum 8+ years of experience in an audit and/or advisory practice at a public accounting firm or a senior internal audit role, with a combination of both experiences a plus
• Strong knowledge of US GAAP, COSO, Sarbanes-Oxley (SOX), risk and controls standards and business process best practices
• Firm grasp of technical accounting and SOX methodologies (controls design, risk assessment, testing strategies, etc.)
• Excellent verbal and written communication skills, including the ability to prepare and deliver executive-level presentations and communicate complex issues clearly.
• Advanced technical, analytical, and communication skills
• Proven ability to deal with ambiguity
• Ability to effectively discuss audit findings and develop impactful solutions with business partners

Desirable Qualifications:

• Experience in helping a company get public company ready from an internal audit and controls perspective a plus
• Proven leadership experience managing audit teams and multiple concurrent projects, with a high degree of motivation and a strong work ethic
• Experience in identifying and implementing tools to advance and monitor Internal Controls

Physical Requirements

• Standard office working conditions which includes but not limited to:
• Prolonged sitting
• Prolonged standing
• Prolonged computer use

Travel Required?  Minimal: 1%-10%

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.

The Autonomy Mapping & Localization group's mission is to provide our vehicles with world-class spatial intelligence, semantic and topological mapping, and state estimation to model and navigate complex urban, suburban, and rural environments. We are looking for a Lead ML Engineer to join our team and architect the next generation of our mapping and localization stack. As the Lead ML Engineer for Mapping, you will be at the forefront of this mission, building the production-grade semantic and topological foundation that allows our vehicles to understand and navigate the world's most challenging roads at scale.

Essential Responsibilities

• Architect, design, and implement a production-grade lane and route network mapping stack, ensuring high-performance integration with the broader autonomy system
• Lead the research, design, training and validation of advanced neural architectures. This includes object detection, classification, segmentation, tracking, depth estimation, and 3D reconstruction to extract and model lane and route networks, alongside key semantic features (e.g., traffic signs, signals, and road markings), for automated mapping.
• Drive major feature development from inception to deployment. This includes high-level architecture design, rigorous code reviews, automated testing, mentorship of junior engineers, and technical resolution.
• Own the end-to-end data strategy for the mapping domain. You will define data curation, auto-labeling, synthetic data, and active learning pipelines to capture and resolve long-tail scenarios.
• Develop robust metrics and evaluation frameworks for lane and route network accuracy, temporal consistency, and scaling across diverse Operational Design Domains (ODDs).
• Work independently with cross-functional teams to translate complex autonomy goals into clear software and system requirements.
• Collaborate with ML and Autonomy engineers to ensure the seamless deployment and validation of mapping features to the vehicle fleet.
• Stay at the research frontier by evaluating, adapting, and innovating cutting-edge techniques. This includes online vectorized HD map construction, end-to-end mapping models, and vision/fusion foundation models to deliver production-ready solutions.

Qualifications and Experience

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

Required

• Ph.D. or Master’s degree in Computer Science, Electrical Engineering, Robotics, or a related field with a strong mathematical and engineering foundation.
• 7+ years of industry experience developing and deploying ML/DL models for mapping or computer vision at scale.
• Deep expertise in several of the following areas:
• Computer Vision Foundations: Object detection, classification, segmentation, tracking, depth estimation, and 3D reconstruction.
• Lane-level topology and connectivity, intersection modeling, and lane/road network graph construction.
• Vectorized mapping networks (e.g., MapTR), BEV-based scene representation, and temporal modeling.
• Self-supervised/semi-supervised and vision/fusion Foundation Models.
• Strong understanding of HD maps, including lane and road network geometry modeling, connectivity, and semantic attributes.
• Expertise in ML/DL development using PyTorch or TensorFlow, including experience with distributed training, synthetic data generation, large-scale dataset handling, and data curation strategies.
• Strong programming skills in Python and/or C++ with experience in modular software design and Linux-based development.
• Proven leadership in guiding technical roadmaps, mentoring engineers, and driving measurable improvements in model performance and system reliability.
• Strong communication skills with the ability to lead technical discussions and align with cross-functional teams.

Desirable

• 10+ years of experience in ML/DL for autonomous driving or ADAS systems.
• Experience with feature extraction and/or fusion from both street-level and overhead imagery.
• Experience utilizing Vision-Language Models (VLMs) and/or Foundation Models for auto-labeling and long-tail (edge-case) detection.
• Expertise in ML optimization for real-time products with limited compute, such as quantization and pruning of large transformer models.
• A proven record of inventions and/or publication record at top-tier conferences (e.g., CVPR, NeurIPS, ICCV, ECCV, ICLR).

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%

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.

The Autonomy Mapping & Localization group's mission is to provide our vehicles with world-class spatial intelligence, semantic and topological mapping, and state estimation to model and navigate complex urban, suburban, and rural environments. We are looking for a Lead ML Engineer to join our team and architect the next generation of our mapping and localization stack. As the Lead ML Engineer for Lane & Route Network Mapping, you will be at the forefront of this mission, building the production-grade semantic and topological foundation that allows our vehicles to understand and navigate the world's most challenging roads at scale.

Essential Responsibilities

• Lead the research, design, architecture, training and validation of advanced neural networks for vectorized mapping (e.g., MapTR), multi-camera BEV transformers, and multimodal fusion models to extract and model lane and route networks for both high-fidelity offline pipelines and real-time online mapping.
• Architect, design, and implement a production-grade lane and route network mapping stack, ensuring high-performance integration with upstream and downstream modules like Perception, Behavior, Policy, and Prediction.
• Drive major feature development from inception to deployment. This includes high-level architecture design, rigorous code reviews, automated testing, mentorship of junior engineers, and technical resolution.
• Own the end-to-end data strategy for the mapping domain, specifically focusing on lane and route networks. You will define data curation, auto-labeling, synthetic data, and active learning pipelines to capture and resolve long-tail scenarios.
• Develop robust metrics and evaluation frameworks for lane and route network accuracy, temporal consistency, and scaling across diverse Operational Design Domains (ODDs).
• Work independently with cross-functional teams to translate complex autonomy goals into clear software and system requirements.
• Collaborate with ML and Autonomy engineers to ensure the seamless deployment and validation of mapping features to the vehicle fleet.
• Stay at the research frontier by evaluating, adapting, and innovating cutting-edge techniques, including online vectorized HD map construction, end-to-end mapping models, and vision/fusion Foundation Models to deliver production-ready solutions.

Qualifications and Experience

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

Required

• Ph.D. or Master’s degree in Computer Science, Electrical Engineering, Robotics, or a related field with a strong mathematical and engineering foundation.
• 7+ years of industry experience developing and deploying ML/DL models for mapping or computer vision at scale.
• Deep expertise in several of the following areas:
• Vectorized mapping networks (e.g., MapTR), BEV-based scene representation, and temporal modeling.
• Cross-modal calibration and fusion (e.g., Camera-to-LiDAR) within Bird’s-Eye-View (BEV) unified representation spaces.
• Transformers or Graph Neural Networks (GNNs) applied to structured lane geometry and topological connectivity.
• Lane-level topology and connectivity, intersection modeling, and lane/road network graph construction.
• Computer Vision Foundations: Object detection, classification, segmentation, tracking, depth estimation, and 3D reconstruction.
• Strong understanding of HD maps, including lane and road network geometry modeling, connectivity, and semantic attributes.
• Expertise in ML/DL development using PyTorch or TensorFlow, including experience with distributed training, synthetic data generation, large-scale dataset handling, and data curation strategies.
• Strong programming skills in Python and/or C++ with experience in modular software design and Linux-based development.
• Proven leadership in guiding technical roadmaps, mentoring engineers, and driving measurable improvements in model performance and system reliability.
• Strong communication skills with the ability to lead technical discussions and align with cross-functional teams.

Desirable

• 10+ years of experience in ML/DL for autonomous driving or ADAS systems.
• Experience with self-supervised and/or semi-supervised learning for large-scale representation learning.
• Experience utilizing Vision-Language Models (VLMs) and/or Foundation Models for auto-labeling and long-tail (edge-case) detection.
• Expertise in ML optimization for real-time products with limited compute, such as quantization, pruning, or distillation of large transformer models.
• A proven record of inventions and/or publication record at top-tier conferences (e.g., CVPR, NeurIPS, ICCV, ECCV, ICLR).

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%

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.

Job Summary

The FCC Manager leads the Fleet Command Center (FCC) team, owning the day-to-day operations of the function and the performance, development, and well-being of the FCCOs and FCC Specialists who staff it. This role is accountable for rider safety and satisfaction, on-time fleet coverage, training quality, and continuous improvement of FCC processes. The FCC Manager is the senior escalation point for high-impact ridealongs and partners across Site Operations, Engineering, and Training to scale the function as the fleet grows.

Essential Responsibilities

• Team leadership: hire, onboard, coach, and develop a team of FCC Operators and FCC Specialists; conduct regular 1:1s, performance reviews, and career development planning.
• Operational ownership: own day-to-day FCC operations including shift coverage, escalation handling, on-call rotations, and incident response.
• Performance management: set team and individual KPIs, monitor performance, and drive accountability for safety, quality, and rider experience metrics.
• Training & enablement: partner with the Training team to design, deliver, and continuously improve the FCCO training program and certification standards; create ways for FCCOs to practice and improve performance.
• Escalation point: serve as the senior escalation point for high-level ridealongs, complex rider situations, and cross-functional decisions.
• Cross-functional partnership: work closely with Site Operations and Engineering to provide input and feedback on upcoming events, deployments, and new features.
• Scale & process improvement: identify, prioritize, and implement initiatives that improve efficiency and prepare the FCC for scale.
• Event coordination: lead FCC participation in upcoming events — build agendas, track progress, own next steps, and report status to leadership.
• Documentation: maintain daily summaries, SOPs, and the job descriptions for FCC employees and contracted operators.
• Workforce planning: manage staffing forecasts, schedules, and the FCC team budget.
• Culture: build and reinforce a culture of safety, accountability, communication, and continuous improvement.

Skills and Abilities

Success in this role typically requires the following competencies:

• People leadership — able to hire, coach, develop, and hold a team accountable across multiple shifts and locations.
• Communication — clear and concise written and verbal communication with operators, peers, and senior leadership.
• Decision-making — sound judgment under pressure with the ability to make timely calls in ambiguous, time-sensitive situations.
• Operational excellence — designs and improves processes; tracks details and drives tasks to completion.
• Organization — manages competing priorities across multiple vehicles, lines of communication, and stakeholders.
• Stakeholder management — works effectively across all levels of the organization, including engineering, operations, and executive leadership.

Qualifications and Experience

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

Required Qualifications:

• 5+ years of experience in dispatching, logistics, transportation, or operations.
• 2+ years of direct people management experience, including hiring, performance management, and coaching.
• Experience in fleet coordination, route optimization, and operator communication.
• High school diploma or equivalent.

Desirable Qualifications:

• 7+ years of experience in operations, logistics, dispatching, or transportation, including 3+ years in a management role.
• Experience managing a 24/7 operations or command-center environment.
• Experience in autonomous vehicles, transit, rideshare, or similar fleet operations.
• Bachelor's degree or equivalent.

Physical Requirements

Standard office working conditions, which include but are not limited to:

• Prolonged sitting
• Prolonged standing
• Prolonged computer use

Travel required -  Minimal: 1%-10%

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.

Job Summary

Senior Integration Test Engineers serve as key stakeholders in the R&D process. This role bridges simulation and on-road testing by validating vehicle system behavior in a controlled lab environment. Senior Integration Test Engineers will focus on both static vehicle-level and HIL testing, replaying real-world drive logs, and documenting system responses. This role is unique in which you will lead testing on HIL bench test setups in addition to static vehicle-level simulated driving. 

As a Senior HIL Test Engineer, you will work closely with software, hardware, and systems engineers to architect the HIL infrastructure, pioneer new automation processes, and mentor the team in validating safety-critical systems in a fast-paced R&D environment.

Essential Responsibilities

• Lead the development and execution of comprehensive HIL test plans, focusing on the integration of autonomous software with autonomous system hardware
• Perform bench-level testing of sensors and compute modules
• Execute static vehicle-level HIL testing by simulating real-world driving scenarios in a controlled environment
• Execute structured test plans covering functional, regression, and fault-injection scenarios
• Measure and analyze software performance (latency, CPU/memory utilization, throughput) on target hardware to ensure the autonomy stack meets necessary requirements
• Design and implement automated test suites. Integrate HIL test results and automation workflows with cloud computing services (AWS) for scalable data analysis and regression tracking
• Monitor and debug vehicle communications
• Partner with Autonomy and Systems Engineering teams to define validation requirements and translate complex edge cases into repeatable HIL test cases.
• Ensure all anomalies are thoroughly documented. Champion product quality by contributing to acceptance criteria and safety-critical validation metrics

Skills and Abilities

• Proven ability to construct and maintain HIL test environments
• Static vehicle-level or chassis dynamometer test experience
• Deep understanding of CAN networks and vehicle communication protocols
• Proficiency with Ethernet protocols (UDP and TCP) 
• Experience with CAN bus analysis tools (e.g., Intrepid Vehicle Spy, Vector CANoe/CANalyzer)
• Strong command of Linux environments for system configuration, log manipulation, and troubleshooting
• Expertise in Test Case Automation and scripting to reduce manual testing overhead
• Ability to prioritize complex deliverables and pivot testing strategies as autonomy software evolves
• Strong ability to translate low-level hardware bugs into actionable insights for high-level software teams
• Experience integrating test automation with cloud computing services (AWS)

Qualifications and Experience

Required

• Bachelor's degree in an applicable engineering field
• 5+ years experience testing complex safety-critical systems involving software, firmware, and/or hardware, preferably in an automotive context
• Direct experience with Hardware-in-the-Loop testing and system-level validation
• Valid driver’s license and clear driving record

Desirable

• Master’s degree in an applicable engineering field
• Experience testing ADAS vehicles or autonomous robotic systems
• Cloud Operations: Experience using AWS for data storage, compute, or CI/CD integration
• Coding: Proficiency in Python or C++ for creating test scripts and data analysis tools

Physical Requirements

• Standard office working conditions which includes but is not limited to:
• Prolonged sitting
• Prolonged standing
• Prolonged computer use
• Travel required? -  Low: 0%-10%

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.

Essential Responsibilities

• Train, Integrate and Test Machine Learning models for on-vehicle Autonomy software
• Optimize and Monitor on-vehicle software for maximum reliability and minimum latency
• Coordinate and execute on-vehicle tests to validate performance of Autonomous Vehicle software in real-world scenarios
• Diagnose and root-cause issues reported by commercial operations through the May Field Response process
• Design and oversee data collection strategies to address ML model deficiencies 
• Develop tools and visualizations to enable support engineers to analyze performance of behavior and control subsystems from field data

Qualifications and Experience

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

Required

• 2+ years experience with robotics software for physical systems in a commercial environment
• Bachelor's degree in Robotics, Computer Science, Computer Engineering, or a field that requires a strong mathematical and/or engineering foundation (e.g. physics, aerospace engineering)
• Basic understanding of ML model concepts such as training, architectures, and data selection
• Functional understanding of lidar, camera and/or radar perception systems and their hardware interfaces
• Strong programming skills in C/C++/Python in a Linux environment
• Functional proficiency with Software concepts such as memory management, threading, databases and networking
• Familiarity with standard development tools such as git, valgrind, and gdb

Desirable

• Familiarity with common Perception, Planning and Foundation model concepts in Autonomous Driving.
• Experience deploying ML models to resource-constrained hardware
• Experience with CUDA and GPU processing techniques
• Proficiency with hard example mining, active learning or dataset composition techniques
• Experience calculating metrics for and evaluating autonomous vehicle models
• Experience building training and evaluation pipelines for large data (>100TB) or large model (>100GB) applications

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%

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.

Job Summary

As an Autonomous Vehicle (AV) Operations Specialist II you will work independently and alongside your teammates to ensure a safe and positive experience for our riders, Autonomous Vehicle Operators (AVOs), and customers by coordinating daily logistics as well as supporting our Autonomous Vehicles during operations. You will report directly to the Site Operations Manager and will be vital in ensuring May Mobility exceeds expectations for customer satisfaction.

Essential Responsibilities

• Ensure that operations during each shift follow rigorous safety guidelines; continuously develop a culture of safety that is beyond reproach
• Follow daily protocols and track site performance metrics to systematically improve outcomes
• Become an expert in quickly collecting, documenting, and reporting feedback on mechanical and vehicle-related issues to the engineering team
• Collaborate with engineers and other team members to troubleshoot and handle escalations that could negatively impact operations
• Create a work environment that values all team members
• Coach autonomous vehicle operators through quality assessments and ride-alongs (where applicable)
• Monitor health of vehicles at all times using company tools for observation
• Ensure all vehicles (and AVOs where applicable) are being monitored while in operation
• Interact with riders as required
• Follow incident response protocol thoroughly and communicate details quickly and clearly to appropriate parties
• Test software changes with focus on safety and communicate clear feedback
• Train and certify new AVOs following approved curriculum (where applicable)
• Collaborate with other sites to maintain consistency and best practices for all; update documentation accordingly
• Represent May to external parties (demonstrations, site visits, Q&As)
• May travel to other sites for coverage, support, and/or training as needed
• Other duties as assigned

Skills and Abilities

Success in this role typically requires the following competencies:

• Strong technical aptitude and ability to learn new software and processes 
• Ability to coach and lead by example
• Strong written and verbal communication skills across multiple platforms; strict attention to detail in every situation
• High comfort level with making judgment calls in ambiguous situations
• Understanding of best practices when it comes to top-notch customer service
• Ability to work effectively with team members at all levels of the organization
• Proficiency with a laptop and Google suite applications (Gmail, sheets, docs, etc.) 

Qualifications and Experience

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

Required Qualifications:

• 3+ years experience in a fast-adapting and customer-focused environment
• 3 + years of supervisory or leadership experience
• Valid U.S. Driver's License

Desirable Qualifications:

• Associates degree or higher in Business, Technical Operations, or related area
• Prior experience in operations or logistics
• Working knowledge of Google Suite

Physical Requirements

• Standard site working conditions which includes but is not limited to:
• Must be able to remain in a stationary position 50% or more of the time
• Must be able to move and / or change positions often when needed
• Prolonged computer use
• Flexibility to work weekends and adjust schedule to align with site operating hours and project needs, including early mornings, evenings, and holidays as required.
• Ability to lift up to 50 lbs
• Ability to stand for prolonged periods of time and climb ladders (infrequent)
• Ability to work outdoors in varying temperatures and weather conditions
• Expected Travel: 5%-15%

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.

Job Summary

May Mobility is looking for a Corporate Counsel to join and support our Legal team and serve as a trusted business partner across the organization. This is a high-impact, hands-on role for a versatile attorney who thrives in a fast-paced, growth-stage environment. You will negotiate and manage supplier and commercial agreements, help build and maintain compliance programs, review press releases and marketing blogs, and provide practical legal guidance on a range of issues that arise as we scale our autonomous vehicle operations worldwide.

The ideal candidate brings subject matter expertise in one or more of the following areas: regulatory affairs, safety and product liability, data privacy, intellectual property including patents, or employment law. You will work cross-functionally with engineering, operations, finance, and business development teams and will have a direct hand in shaping the legal infrastructure of a company at the forefront of the autonomous mobility revolution.

Essential Responsibilities

• Draft, review, and negotiate a range of commercial and supplier agreements, including hardware supply, software licensing, services, joint development, and partnership agreements, while developing and maintaining playbooks, templates, and negotiation guidelines for use across the legal team
• Design, implement, and maintain compliance programs and policies covering areas such as data privacy, safety, regulatory obligations, and corporate governance
• Provide day-to-day legal counsel to cross-functional teams including engineering, operations, business development, government affairs, marketing, and human resources
• Advise on regulatory matters related to autonomous vehicle testing, deployment, and commercialization at the federal, state, and local levels
• Support the management of outside counsel and coordinate with external advisors on specialized matters including litigation, IP, and regulatory filings
• Monitor and analyze evolving laws and regulations affecting autonomous vehicles, transportation, data privacy, and employment, and summarize  business implications to leadership
• Develop and deliver training programs on legal compliance, contracting best practices, and risk management for business teams
• Assist with corporate transactions, equity matters, and board-related activities as needed

Skills and Abilities

Success in this role typically requires the following competencies:

• Strategic risk assessment
• Cross-functional collaboration
• Sound judgment under ambiguity
• Ability to balance innovation with compliance

Qualifications and Experience

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

• J.D. from an accredited law school and active membership in good standing with at least one U.S. state bar
• 5–8 years of legal experience, including a combination of law firm and in-house counsel experience (experience at a technology, automotive, or mobility company is strongly preferred)
• Demonstrated experience drafting, reviewing, and negotiating complex commercial and supplier agreements
• Experience developing or managing compliance programs, policies, or internal controls
• Substantive expertise in at least one of the following: regulatory affairs, safety/product liability, data privacy (e.g., CCPA, CPRA, APPI, GDPR), or employment law
• Strong business judgment with the ability to balance legal risk against operational objectives in a fast-moving environment
• Excellent written and verbal communication skills with the ability to distill complex legal concepts for non-legal audiences

Preferred 

• Experience in the autonomous vehicle, automotive, robotics, or advanced transportation technology sector
• Familiarity with NHTSA regulations, FMVSS standards, state AV legislation, or other transportation safety frameworks
• Experience advising on data privacy matters in the context of connected or autonomous vehicles, including geolocation data, telematics, and rider data
• Background in government affairs, public policy, or working with regulatory agencies (DOT, NHTSA, state DMVs)
• Experience supporting companies through high-growth stages, including Series C/D and beyond
• Comfort operating as a generalist across multiple legal disciplines while building institutional knowledge in a lean legal team
• CIPP/US, CIPP/E, or other privacy certification

Physical Requirements

• Standard office working conditions which includes but not limited to:
• Prolonged sitting
• Prolonged standing
• Prolonged computer use

Travel Required?  Minimal: 1%-10%

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.

Job Summary 

We are looking for an Autonomy Lifecycle Engineer to own the connection between deployed autonomous vehicle performance and engineering development. This role is critical in closing the loop between real-world operations and software development by translating data into actionable insights that drive system improvements.

You will help bridge autonomy software development with real-world deployment and data analytics, ensuring that new capabilities transition into safe, reliable, and scalable service across May Mobility’s operational sites.

This is a hybrid role based in Ann Arbor, Michigan, with occasional travel to operational sites.

Essential Responsibilities

• Own performance analysis of deployed autonomous vehicle fleets across commercial and test operations
• Define, develop, and maintain key performance indicators (KPIs) to measure system performance and operational success
• Build and maintain data pipelines, tools and dashboards to process and analyze vehicle and operational data
• Analyze real-world vehicle behavior to identify trends, anomalies, and systemic issues
• Translate data insights into clear problem statements and prioritized inputs for engineering teams
• Drive a closed-loop lifecycle process connecting deployed software, vehicle performance and engineering improvements
• Partner with engineering teams (perception, prediction, behavior, platform) to influence priorities and upcoming software releases based on real-world impact
• Collaborate with product and roadmap teams to ensure field performance insights are reflected in feature prioritization
• Work closely with Technical Project Managers (TPMs) to provide performance snapshots, status updates and data-driven support for customer-facing activities
• Establish and maintain processes to align stakeholders across engineering, product, operations, and deployment teams
• Communicate performance insights and recommendations clearly across technical and non-technical audiences
• Create and maintain performance and issue metrics, ensure broad availability and accessibility of relevant data and translate analytical insights into clear, actionable and stakeholder-ready formats such as dashboards, reports and performance summaries

Skills and Abilities

Success in this role typically requires the following competencies:

• Bachelor’s or Master’s degree in Engineering, Computer Science, Data Science or a related field
• Experience in autonomous systems, robotics or complex software/hardware systems
• Strong analytical and problem-solving skills with experience working on large datasets
• Experience with data analysis tools and programming languages (e.g., Python, SQL)
• Experience building dashboards, metrics and data processing pipelines
• Ability to translate complex data into actionable insights and communicate effectively across teams and organizational levels
• Experience working cross-functionally with engineering, product, and operations teams
• Comfortable operating in a fast-paced, dynamic environment with evolving processes
  
  

Qualifications and Experience

Required

• Bachelor’s or Master’s degree in Engineering, Computer Science, Data Science, Robotics or a related technical field
• 5–7+ years of experience in autonomous systems, robotics, mobility, or other complex software/hardware systems, with a strong focus on real-world system performance, operations or lifecycle analysis
• Proven experience owning end-to-end problem spaces, from data analysis and issue identification through to influencing engineering prioritization and driving resolution
• Strong expertise in data analysis and engineering, including working with large-scale datasets, telemetry or vehicle/system logs (e.g., Python, SQL, or similar tools)
• Experience building and scaling metrics frameworks (KPIs), dashboards and data pipelines to monitor and improve system performance
• Demonstrated ability to translate complex data into actionable insights and communicate findings effectively to both technical and non-technical stakeholders through clear, polished and visually compelling dashboards, presentations and other stakeholder-ready materials
• Experience working cross-functionally with engineering, product, operations, and program management teams, with the ability to influence without direct authority
• Proven track record of driving data-informed decision-making that impacts system performance, product direction, or operational outcomes
• Strong systems thinking with the ability to connect real-world behavior, software performance, and underlying system architecture
• Experience operating in fast-paced, ambiguous environments, with the ability to identify gaps, define processes, and implement scalable solutions
• Excellent communication and stakeholder management skills, including experience presenting insights and recommendations on next steps

Preferred

• Working knowledge of the autonomous vehicle industry.
• Startup or high-growth technology company experience.
• Experience using Google Workspace and collaborative documentation tools.

Experience in one or more of the following environments is highly valued:

• Robotics, autonomous systems, or other advanced mobility technologies
• Complex software-hardware systems (e.g., robotics, aerospace, automotive, embedded systems)
• Operational deployment environments where software systems interact with real-world operations
• Early-stage or high-growth startup environments where processes and systems are still evolving

Physical Requirements

Standard office working conditions including but not limited to:

• Prolonged sitting
• Prolonged standing
• Prolonged computer use
• Driving a May Mobility vehicle in autonomous and manual modes

Travel Requirement: infrequent (< 10%)

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.

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.  In many ways, this is an even more important goal for the AV industry than getting the vehicles to drive autonomously.  Simulation-based testing is a big part of our strategy to achieve this.  

We are looking for a versatile Simulation Infrastructure Engineer to join our team. This role is unique: you will help maintain our core simulation interface while also building out the surrounding ecosystem that turns raw simulation results into meaningful, actionable insights.

Essential Responsibilities

• Develop, maintain, and enhance the simulation interface and APIs to support continuous AV system development.
• Collaborate with data team members and other stakeholders to identify, implement, and validate software to measure autonomous vehicle performance indicators.
• Develop, maintain, and support simulation tools to support the validation of safety and performance of autonomous vehicles.
• Design and build systems to manage the simulation test portfolio and test results,  improving simulation test discoverability and usefulness across the organization.
• Work with cross functional teams to develop software and system requirements.
• Initiate and participate in team product quality activities including design reviews, code reviews, and documentation

Skills and Abilities

Success in this role typically requires the following competencies:

• Excellent attention to detail and rigorous testing methodology
• Communicate effectively, clearly, concisely in written and verbal form both technical and non technical material
• Understands and applies industry best practices.
• Independently determines approach to assigned tasks.

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 and a minimum of 2 years of industry experience
• Experience working in modern C++ (C++14/17/20)
• Strong working knowledge of design patterns, data structures, and algorithms
• Experience in some form of real-time simulation platform development and integration (game engine, autonomous vehicle simulation, etc…) 
• Previous experience developing in Linux environments or ability to adapt to this environment

Desirable

We don't expect you to be an expert in everything, but experience with (or a desire to learn) in these areas will help you contribute quickly

• M.S. Degree in Computer Science, Computer Engineering and 2+ years of industry experience
• Experience designing, building, and expanding complex software systems with real-time or other performance constraints.
• Familiarity with AWS, Databricks, and Python for working with large-scale data processing.
• Experience in building web front ends, database schemas, and infrastructure-as-code to make complex data more accessible.
• Problem Solving: A "detective" mindset for triaging simulation failures and identifying root causes in complex, distributed systems.
• Experience with Applied Intuition simulation software (Simian, Logstream, Spectral, etc…), or other AV testing suite is a plus
  
  

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%

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.

Job Summary

The Senior Product Safety Architect, is responsible for defining and owning the end-to-end safety architecture for our L4 autonomous driving system, translating safety goals and hazard analyses into concrete system-level design decisions. This role requires a strong foundation in functional safety (UL 4600, ISO 26262) combined with working knowledge of AI/ML safety challenges specific to autonomous systems. The incumbent will partner closely with perception, prediction, planning, and control teams to embed safety requirements throughout the development lifecycle, and will bring an architecture mindset to ensure that safety properties are verifiable, traceable, and defensible in our safety case.

Essential Responsibilities

• Define and own the safety architecture for our Driver Out autonomous system, establishing the system decomposition, safety mechanisms, and architectural constraints that instantiate our UL 4600 safety case claims.
• Derive functional safety concepts and technical safety concepts from HARA outputs, and allocate safety requirements to AV system components (perception, prediction, planning, actuation, fallback) with clear architectural rationale per UL 4600 and ISO 26262.
• Own and manage the safety plan according UL4600 and ISO26262 including a schedule to hit the company’s product launches. 
• Identify and address AI/ML-specific safety risks including distributional shift, model uncertainty, and failure mode opacity; define architectural mitigations (e.g., runtime monitors, confidence thresholds, safe fallback behaviors) to maintain safety goals in the presence of learned components.
• Collaborate with the development teams on every aspect of the safety plan through appropriate processes and methods to ensure on-time delivery of mature work products.
• Create, maintain and review safety work products such as HARA, FSC, TSC, FTA, FMEA, SPFM/LFM, PMHF, and DFA; extend these analyses to cover ML component failure modes and ODD boundary conditions specific to L4 autonomous operation.
• Communicate with all required stakeholders to identify and define technical/ system requirements and safety requirements tied to the safety goals.
• Ability to effectively communicate and explain functional safety concepts to non-safety engineers.
• Ensure that functional safety confirmation measures such as audits and assessments are planned and completed.
• Excellent communication and presentation skills.
• Hands-on with an analytical mindset and a proven track record of problem-solving.
• An enthusiasm for cutting-edge innovation in self-driving technologies and safety products

Skills and Abilities

Success in this role typically requires the following competencies:

• Strong working knowledge and ability to apply the following safety frameworks:
• HARA
• FMEA
• FTA
• FMEDA
• DFA
• SOTIF (ISO 21448) / AI safety risk assessment
• UL 4600 CAE (Claim-Argument-Evidence) safety case construction
• Requirements capture and traceability; safety metrics definition; system architecture decomposition and interface definition across AV subsystems
• Excellent communication and presentation skills.
• Hands-on with an analytical mindset and a proven track record of problem-solving.
• An enthusiasm for cutting-edge innovation in self-driving technologies and safety products
• Ability to clarify and document fuzzy requirements and challenges such that a project team can efficiently and effectively solve problems.
• An ability to clearly and concisely communicate technical concepts including root cause analysis, technical challenges and their solutions, and results backed by data.
• An ability to communicate effectively with both technical and non-technical people and teams.
• Understanding of software and hardware development life cycles, integration processes, and test/validation complexity 

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 in Systems Engineering, Electrical Engineering, Computer Science, or a related technical discipline
• 7+ years of related work experience, with at least 3 years in autonomous vehicle or advanced robotics system architecture, and demonstrable exposure to AI/ML safety challenges in safety-critical applications
• 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.

Desirable

• Master’s degree in Systems Engineering, Computer Science, or a related field; specialization in AI safety, dependable systems, or autonomous systems is a strong plus
• Prior experience authoring or contributing to a UL 4600 safety case or equivalent structured safety argument (GSN/CAE) for a deployed autonomous system

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%

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.

Job Summary

The Senior Product Safety Engineer II is responsible for defining and implementing functional safety concepts derived from safety goals and safety cases, aligning with standards like UL4600 and ISO 26262. This role works closely with various stakeholders throughout the organization, including product managers, development teams, suppliers, and customers, to achieve safety goals across products. The incumbent will own and manage the safety plan, including the planning and execution of functional safety confirmation measures such as audits and assessments to ensure compliance and effectiveness.

Essential Responsibilities

• Own the development of the safety case  for our Driver Out system.
• Define a functional safety concept from safety goals and safety cases according to UL4600 and ISO 26262.
• Own and manage the safety plan according UL4600 and ISO26262 including a schedule to hit the company’s product launches. 
• Planning and coordinating the safety activities with product managers, development team, suppliers and customers up to the achievement of the safety goals on products.
• Collaborate with the development teams on every aspect of the safety plan through appropriate processes and methods to ensure on-time delivery of mature work products.
• Create, maintain and review safety work products such as HARA, FSC, TSC, FTA, FMEA, SPFM/LFM, PMHF, and DFA.
• Communicate with all required stakeholders to identify and define technical/ system requirements and safety requirements tied to the safety goals.
• Ability to effectively communicate and explain functional safety concepts to non-safety engineers.
• Ensure that functional safety confirmation measures such as audits and assessments are planned and completed.
• Excellent communication and presentation skills.
• Hands-on with an analytical mindset and a proven track record of problem-solving.
• An enthusiasm for cutting-edge innovation in self-driving technologies and safety products

Skills and Abilities

Success in this role typically requires the following competencies:

• Strong working knowledge and ability to apply the following safety frameworks:
• HARA
• FMEA
• FTA
• FMEDA
• DFA
• Requirements Capture, Safety metrics definition
• Excellent communication and presentation skills.
• Hands-on with an analytical mindset and a proven track record of problem-solving.
• An enthusiasm for cutting-edge innovation in self-driving technologies and safety products
• Ability to clarify and document fuzzy requirements and challenges such that a project team can efficiently and effectively solve problems.
• An ability to clearly and concisely communicate technical concepts including root cause analysis, technical challenges and their solutions, and results backed by data.
• An ability to communicate effectively with both technical and non-technical people and teams.
• Understanding of software and hardware development life cycles, integration processes, and test/validation complexity 

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
• 7+ years of related work experience
• 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.

Desirable

• Master's degree or equivalent experience. Engineering, Computer Science or highly technical degree preferred

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%

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.

Essential Responsibilities

• Design, implement, and test-state-of-the-art robotics software in C/C++ to enable comfortable and safe behavior and control for Autonomous Vehicles
• Lead and participate in team code quality activities including design and code reviews 
• Provide technical guidance to Technical Support Team on issue diagnosis and resolution
• Coordinate with cross functional teams to develop software and system requirements for Autonomous Vehicle behavior and controls subsystems
• Collaborate with data science team members to design and implement metrics capturing key performance indicators of Autonomous Vehicle  subsystems
• Develop unit and simulation tests to validate vehicle performance across target operational domains
• Coordinate and execute on-vehicle tests to validate performance of Autonomous Vehicle software in real-world scenarios
• Diagnose and root-cause issues reported by commercial operations through the May Field Response process
• Develop  tools and visualizations to enable support engineers to analyze performance of behavior and control subsystems from field data

Skills and Abilities

Success in this role typically requires the following competencies:

• Expert understanding of one or more of the following: behavior planning, decision making under uncertainty, path planning, probabilistic reasoning, prediction, machine learning, trajectory generation, controls or localization
• Awareness of the state of the art in the field, and be able to translate novel ideas into relevant solutions at May
• Ability to understand complex code bases and define architecture as a framework enabling others to solve problems. 
• Ability to provide technical leadership for complex projects, including individual and team mentorship
• Ability to collaborate cross functionally with adjacent teams such as perception and controls as well as stakeholders outside of autonomy
• Communicates technical direction effectively at all organizational and technical levels.
• Defines measurable success metrics for May's technical roadmap to ensure delivery and health of the system.

Qualifications and Experience

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

Required

• Bachelor's degree in Robotics, Computer Science, Computer Engineering, or a field that requires a strong mathematical and/or engineering foundation (e.g. physics, aerospace engineering)
• 7+ years of industry experience working on real-world robot systems including implementing at least two commercial projects working at a systems-level, delivering critical functions that make a robot work successfully in the field.
• Experience developing and deploying capabilities for robot behavior planning, decision making under uncertainty, path planning, probabilistic reasoning, prediction, machine learning, trajectory generation, controls and/or localization
• Familiarity with multiple non-linear control methodologies appropriate to mobile robots or autonomous vehicles, such as MPC, LQR, PID, optimal control, stochastic control, adaptive control, and robust control
• Strong programming skills in C/C++
• Expertise with software development in a Linux environment
• Familiarity with standard development tools such as git, valgrind, and gdb

Desirable

• Masters or PhD in Robotics, Computer Science, or Electrical and Computer Engineering, Mechanical Engineering, or a field that requires a strong mathematical and/or engineering foundation (e.g. physics, aerospace engineering)
• Strong background in one of the robotics areas discussed above as demonstrated by developing and delivering to fielded robots multiple capabilities that solve critical problems in controls and motion planning
• Familiarity with optimization techniques that are appropriate to mobile robots or autonomous vehicles, such as QP, control theoretic splines, and dynamics-aware approaches
• Demonstrated ability to mentor and support more junior engineers in learning and contributing to robotics development and testing
• Strong programming skills in C, software development in a Linux environment

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%

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.

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. Launched in 2017 with a strong team of experienced roboticists, perception, behavior, AI, and software engineers with decades of experience fielding robotic systems in the wild, May Mobility is looking to expand its team of perception engineers with a background in robotics or autonomous vehicles. 

We are seeking an experienced Senior Engineer or above with deep expertise in perception systems, machine learning, and GPU optimization. As part of our team, you will play a critical role in enhancing perception’s on-vehicle capabilities, ensuring robust performance for real-time applications, and optimizing frameworks for autonomous vehicle perception.

Essential Responsibilities

• Work closely with across functional teams  to co-define software and system requirements, analyze trade-offs, and shape the future generation of compute platforms.
• Collaboratively integrate perception algorithms and machine learning models with vehicle hardware and software, ensuring seamless operation within autonomous driving systems.
• Collaborate with ML infrastructure teams to develop and optimize distributed training infrastructure, automate deployment pipelines, and enhance system reliability and performance.
• Conduct rigorous testing and validation of perception algorithms in both simulated and real-world environments to ensure robustness, reliability, and safety.
• Develop and optimize perception stack software using CUDA and GPU programming to accelerate computationally intensive tasks and maximize efficiency.
• Lead the efforts of ptimize machine learning models for runtime efficiency, scalability, and performance across GPU, TPU, and CPU architectures, ensuring adaptability to various vehicle platforms.
• Stay at the forefront of machine learning, GPU programming, and autonomous driving technologies, integrating the latest advancements into the development process.
• Actively participate in feature design, code reviews, debugging, and issue resolution, driving improvements in perception software performance.

Skills and Abilities

Success in this role typically requires the following competencies:

• Strong programming skills in C++ and Python with a deep understanding of software optimization.
• Extensive experience in optimizing ML models for resource-constrained inference, including custom operations, model pruning, quantization, and knowledge distillation.
• Expertise in GPU programming, particularly CUDA, for high-performance computing and efficient parallel processing.
• Proficiency in model-platform co-optimization, ensuring efficiency across GPU, TPU, and CPU architectures.
• Hands-on experience with real-time data processing and advanced optimization techniques.
• Strong background in ML model inference optimization, balancing accuracy and latency for real-time applications.
• Familiarity with machine learning frameworks and libraries for perception-related tasks.
• Excellent problem-solving skills with a detail-oriented approach and a rigorous testing mindset to ensure system reliability.

Qualifications and Experience

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

Required

• Master’s or PhD degree in Robotics, Computer Science, Computer Engineering, or a related field with strong mathematical and engineering foundations.
• A minimum of 3+ years in Senior engineer roles of GPU programing/optimization using CUDA or similar techniques for perception algorithms and models
• Proficiency in C/C++/Python and experience in software development in Linux environments.
• Strong experience with GPU programming, CUDA, and real-time data processing.
• Experience optimizing ML models for runtime efficiency.
• Experience with 3D computer vision and point cloud processing.

Desirable

• Expertise in ML/DL model optimization for real-time applications with limited compute resources.
• Strong contributions to deployed robotic systems, demonstrating field-proven capabilities in perception evaluation and testing.
• Experience with robotics middleware such as ROS (Robot Operating System).
• Knowledge of vehicle dynamics and control systems.
• Experience deploying ML models efficiently on embedded hardware.
• Familiarity with hardware acceleration techniques beyond GPUs, such as TPUs and FPGAs.

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%

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.

Job Summary

May Mobility is entering an exciting phase of growth and our team is expanding quickly. We are looking for a Lead Program Manager to be the link between all vehicle development Stakeholders including Safety, Vehicle Engineering, Autonomy, Manufacturing, Quality, Business Development and Operations. This role will report directly to the Sr. Manager of Program Management and will be responsible for communicating and coordinating the work to meet target deliverables and timing at each program milestone for one or several Autonomous Vehicle platforms.

Essential Responsibilities

• Independently sets timelines and goals for large scale Autonomous Vehicle development  programs and/or other large scale initiatives that involve cross departmental collaboration
• Manage program timelines and track status of deliverables from the Product Definition until the OK to Launch phase for one or multiple Autonomous Vehicle programs
• Identify dependencies across tasks and program teams to ensure continuous alignment
• Anticipates risks and works with Stakeholders to identify and execute mitigation plans
• Communicate with partner vehicle OEM to align program plans to escalate vehicle issues
• Implement and manage change when necessary to meet desired outputs
• Present to stakeholders reports on progress as well as problems and solutions
• Champion prioritization of safety and quality
• Support Engineering leaders in continuous improvement of the vehicle development and program management process
• Develop and leverage relationships across functions to ensure clear communication and seamless follow-through

Skills and Abilities

Success in this role typically requires the following competencies:

• Ability to see the “big picture” while also being willing to do essential daily tasks to complete objectives
• Ability to multitask and prioritize
• Strong technical aptitude and ability to learn; Ability to translate technical ideas to non-technical audiences

Qualifications and Experience

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

Required

• Bachelor's Degree in an Engineering or Product Development discipline
• 7-10 years of experience in program management working with complex products 
• A passion for both process and people-oriented solutions and strong organizational skills

Desirable

• PMP Certification
• Experience working with ADAS or Vehicle Control products 
• Previous experience working for a high-growth and mission-driven startup
• Experience working with Japanese Automotive OEM or Suppliers
  
  

Physical Requirements

• Standard office working conditions which includes but is not limited to:
• Prolonged sitting
• Prolonged standing
• Prolonged computer use
• Travel required? -  Moderate: 0%-10%

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.

Job Summary

The Senior Systems Engineer 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. This role will also have a key focus on projects for Japanese customers, requiring close coordination with May Mobility’s Japan team to understand Japan-specific requirements in support of future autonomous vehicle launches in the region.

Essential Responsibilities

• Leverage a system level understanding of our products and technologies to support cross-functional engineering efforts
• Serve as the primary systems engineering point of contact for projects targeting Japan customers, ensuring effective coordination with the local Japan team.
• Identify, analyze, and translate Japan-specific regulatory, safety, and customer requirements into technical system specifications for fully autonomous vehicles.
• Develop and execute methods for identifying and documenting Japan specific Operational Design Domain (ODD)
• Analyze real-world and simulation results to identify performance trends, uncover potential issues, and provide insights for improvements
• Develop and execute system test and validation plans derived from documented system requirements to ensure product performance and reliability.
• Lead engineering process continuous improvement activities, proposing solutions and gaining buy-in from impacted teams
• Conduct FMEA (Failure Mode and Effects Analysis) and manage the resolution of all identified findings.

Skills and Abilities

Success in this role typically requires the following competencies:

• Strong working knowledge of autonomous vehicle software and systems 
• Strong analytical and problem solving skills
• 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
• Ability to develop, document, and execute system level testing and validation plans
• Curiosity to learn and desire to improve

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
• 5+ years experience in automotive engineering working on software, hardware, or combined hardware/software products and 2+ years experience working on autonomous driving systems
• Knowledge of automotive and autonomous vehicle technologies
• Experience supporting Japan-based projects
• Experience with Python, SQL, and data analysis tools (e.g., Pandas, NumPy, Spark).

Desirable

• A Masters degree in Engineering or equivalent experience
• Experience working in a startup
• Japanese language experience

Physical Requirements

• Standard office working conditions which includes but is not limited to:
• Prolonged sitting
• Prolonged standing
• Prolonged computer use

Travel required? -  Moderate: 10%-20%

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.

In order to support our goals for safe operations and continued autonomy development, we are looking for a manager for the autonomy support team. The autonomy support team is responsible for transforming data from the field into meaningful data such as operational issues, and further defining them into unique measurements to identify and track moving forward. The support team identifies the operational issues and triages them to the root cause to aid the site lifecycle managers the ability to lead development teams to solve operational issues and drive the roadmap. 

As the fleet expands and the volume of driving data generated by field software scales, the team’s current processes are no longer built to support this growth. This role is a transformation hire — responsible for redesigning how field data is ingested, triaged, justified, and tracked end-to-end through to verified resolution in the field. 

For this role, Hybrid means that candidates would be expected to be able to come into the office in Ann Arbor as needed. The candidate would work remotely most of the time with reliable internet access and no limit on data upload/download quantity.

Essential Responsibilities

You will focus on leading the Autonomy Support team and work hands-on with the team to achieve company goals; The work includes:

• Establish meaningful strategic, long-term business goals for the support team
• Own the end-to-end lifecycle of field issues – from discovery/detection and prioritization through fix deployment and field validations – ensuring issues are not closed without verified resolution and measurable impact
• Design and implement scalable processes for ingesting, categorizing, and triaging increasing volumes of field data from vehicle autonomy software; partner with data and tooling teams to automate workflows that cannot keep pace with fleet growth at a manual level
• Define and enforce issue qualification standards, establishing clear thresholds (e.g., severity, recurrence, data evidence) that determine when field observations are escalated into tracked engineering issues
• Build and maintain a systemic framework that enables support engineers to quantify issues with evidence-backed data, directly informing engineering prioritization and development focus
• Partner cross-functionally with Safety, Product, Operations, Customer Success, and Business Development to maintain stakeholder visibility and alignment throughout
• Partner with Operations during production incidents and assume ownership post-triage to drive coordination, escalation, communication, and resolution through closure
• Define and operationalize a clear incident response model (roles, ownership, escalation paths, and communication standards) to ensure consistent and predictable handling of production issues at scale.
• Lead end-to-end process redesign, identifying breakdowns in the current workflows, aligning the team on scalable approaches, and implementing systems that maintain rigor as support volume increases
• Develop and track the team’s KPI and OKRs and ensure metrics are adhered to, identify risks and opportunities for progress
• Own and drive the operating model between Fleet Operations and Autonomy, ensuring continuous alignment on priorities, clear translation of field performance into development inputs, and shared visibility across teams
• Develop & Maintain SLA with an on-call rotation for fleet support during non-core May Mobility hours. 
• Ability to use the debugging tools the support team uses to help in triaging complex issues in order to unblock team members and identify gaps in scaling processes
• Onboarding, continuous training and mentoring of the Autonomy Support team members

Skills and Abilities

Success in this role typically requires the following competencies:

• Data literacy - Ability to analyze large volumes of field data to identify patterns, trends, and systemic issues across support cases, and to translate data into actionable development priorities. 
• Data Communication - comfortable reading, interpreting, and communicating from large structured/unstructured datasets (logs, telemetry, event streams)
• Experience designing or redesigning processes in environments that have outgrown existing workflows, with a focus on scalability and operational repeatability
• Systems thinking — ability to see how field inputs, issue tracking, and engineering outputs interact as a system, not just a queue
• Change management capability to lead a team through operational transformation — communicating the case for change clearly and bringing team members along with alignment and purpose
• Ability to identify process bottlenecks in data-heavy workflows and redesign them for scale
• Ability to right size the solution and / or process for the organization as it grows

Qualifications and Experience

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

Required Qualifications:

• 5+ years experience in management of technical support team focused in complex system designs
• Bachelor's Degree in a technical field
• At least 7 years of relevant work experience
• Experience with problem solving in a customer service environment
• Demonstrated experience redesigning support or operations processes that were no longer fit for scale, including definition of new workflows, tooling requirements, and team adoption plans
• Experience using data-driven frameworks to prioritize competing issues, including the ability to build and communicate evidence-based cases for development team attention
• Experience working cross-functionally with Engineering, Sales, Marketing, Product, and external partners
• Proven track record of prioritizing competing priorities for operations and development
• Strong leadership skills and ability to to manage a team of 5+ people
• Ability to mentor technical team members to achieve their best as well as keep motivation high
• Excellent verbal and written communication skills with the ability to explain complex and technical topics in an easily understood manner
• Advanced knowledge of Jira and Jira reporting and dashboards
• Proficiency with BI tools (e.g., AWS QuickSight, Tableau) for building operational dashboards and reporting that scale with fleet growth
• Rare occasional nights and weekends on-call support for coverage gaps (operational sites run 7-days a week, 365 days a year)

Desirable Qualifications:

• Experience working with large-scale telemetry or log data from software systems, and familiarity with structured issue lifecycle management beyond basic ticketing
• Experience with structured root cause analysis frameworks (e.g., 5 Whys, Fishbone) applied at scale
• Experience with log streaming or event processing tools (e.g., Kafka, Logstream, Splunk)
• Experience analyzing, evaluating and transforming data from multiple sources
• Experience using Google Suite
• Passionate about self-driving cars and their impact on the world
• Familiarity with a start-up environment and pace of business

Physical Requirements

• Standard office working conditions which includes but not limited to:
• Prolonged sitting
• Prolonged standing
• Prolonged computer use

Travel Required?  Minimal: 1%-10%

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.

Job Summary

The Manufacturing Engineering manager leads the team that is responsible for unlocking our AV production at scale. This individual will manage a diverse team whose goal is to optimize May Mobility’s production processes across a network of component suppliers and contract manufacturers. This role requires an individual that will be bridge-builder between Design and Production teams, is an expert of lean methodologies, and has a strong desire to work with emerging technology and new manufacturing challenges.

Essential Responsibilities

• This is a player-coach role where the Manager will be responsible for both demonstrating and developing team competencies in the areas of:
• Lean Manufacturing best practices
• Continuous improvement
• FMEA, Control plans, poke yoke, and control plans
• Process improvement through automation and digital tooling
• Technical transfer to contract manufacturing partners
• Implementing and promoting company priorities through objective targets and measurable performance indicators
• Scale our manufacturing capacity while optimizing cost and ensuring quality
• Manage and oversee major projects: New program Launches, Facility and line optimization, Tooling improvements, vendors RFP, RFQ’s, and SOW’s
• Effectively manage team resources across simultaneous projects
• Drive collaboration and feedback with Design  and Service teams
• Work closely with the quality team to troubleshoot, triage, and resolve internal and supplier quality issues 

Skills and Abilities

Success in this role typically requires the following competencies:

• Demonstrated ability to increase team motivation and effectiveness through effective mentoring, challenging team assumptions, and status quo. 
• Effective verbal and written communication skills to convey ideas, instructions, and feedback clearly and efficiently. 
• Strong decision-making skills to analyze situations, evaluate options, and make timely and informed decisions.
• Ability to plan strategically, anticipate future trends, and develop long-term roadmaps to drive organizational success. 
• Flexibility and willingness to adapt to changing circumstances, priorities, and environments. 
• Strong electronic hardware integration experience. 
• Working knowledge of ERP, PDM, and CAD technologies 

Qualifications and Experience

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

Required

• Bachelor’s degree in Manufacturing Engineering, Electrical Engineering, Mechanical Engineering or related fields.  
• 7+ years of relevant work experience  
• At least 4 years of experience in leading an engineering team and delivering products on time 
• Experience utilizing Lean manufacturing Principles (Kaizen, visual management, Value stream mapping, etc)

Desirable

• Master’s degree 
• Experience working ADAS and low-level actuation in vehicles. 
• Experience with agile engineering development processes. 
• Strong proficiency in program management and cross-functional communication

Physical Requirements 

• Standard office working conditions which includes but is not limited to: 
• Prolonged sitting 
• Prolonged standing 
• Prolonged computer use
• Travel
• Travel required? -  Moderate: 11%-25%

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.

Job Summary

We are seeking a dynamic and safety-focused Field Training Manager to lead a team of advanced autonomous vehicle operators. In this pivotal role, you will serve as the onsite liaison between training and operations. You will bridge the gap between technical operations and workforce development by owning your team’s performance, the quality of their feedback and the implementation of new training programs to support operational excellence. You will not only manage the daily performance of our highest-level operators, but also support the educational infrastructure that allows them to mentor others and scale our operations safely.

As a direct report to the Senior Manager, Field Operations Training, you will play a key role in defining training standards, managing our learning content, and fostering a culture of continuous improvement and psychological safety. 

Essential Responsibilities

• Manage, coach, and support a team of Advanced Autonomous Vehicle Operators, ensuring they adhere to the highest standards of safety and professionalism.
• Support onsite operations management personnel to ensure operators are maximizing autonomous capabilities while maintaining strict safety protocols.
• Review and audit operator reports regarding vehicle behavior, software errors, and disengagements to ensure feedback is clear, effective, and actionable for engineering teams.
• Foster a diverse and inclusive team environment, resolving conflicts and championing career development for direct reports.
• Learn to apply Adult Learning Principles to support the design, implementation, and updating of training programs.
• Help maintain a library of training reference materials, Standard Operating Procedures (SOPs), and job aids that are accessible and up-to-date.
• Mentor Advanced Operators on how to effectively train and develop peers, establishing a scalable peer-mentorship program.
• Collaborate with the Senior Training Manager to evolve the scope of the training program as the technology and fleet size grow.

Who You Are

A Proven Leader: You have experience managing diverse teams and know how to motivate individuals from various backgrounds to achieve a common goal.

An Educator at Heart: You understand that people learn differently. You know how to break down complex technical concepts into digestible explanations.

A Communicator: You possess strong written and verbal communication skills. You can translate technical vehicle data into clear training points and vice versa.

Adaptable: You thrive in fast-paced environments where the scope of work evolves. You are comfortable building the plane while flying it.

Skills and Abilities

• Ability to adjust management styles to suit a diverse team of operators, ranging from technical experts to those new to the technology.
• Skilled in delivering real-time, constructive feedback and conducting formal performance reviews that drive professional growth.
• Proficient in de-escalating team issues and fostering a culture of psychological safety where errors are reported without fear of retribution.
• Confidence in delivering training sessions to large groups and leading "Train the Trainer" workshops for senior operators.
• The unique ability to translate complex engineering feedback into simple, actionable instructions for operators, and conversely, translate operator feedback into clear technical reports.
• A strong grasp of road safety laws and defensive driving techniques to effectively audit operator behavior.
• Demonstrable aptitude as a self-starter and project owner 
• A strong understanding of safety culture/protocol compliance
• Strong emotional intelligence, conflict resolution skills, and the ability to give and receive constructive feedback.

Qualifications and Experience

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

Required Qualifications:

• Bachelor’s Degree or equivalent relevant work experience.
• 3 - 5 years of experience in Training Management, Learning & Development, Operations Management or related areas.
• Valid driver’s license and clean driving record for at least 3 years. 

Desirable Qualifications:

• Experience in both operational leadership and training support.
• Experience in the Autonomous Vehicle, Transportation, or Logistics industries.
• Experience with software/project management programs (e.g. Jira, Asana, etc.)
• Previous experience in a role requiring technical writing or technical reporting.

Physical Requirements

• Available for off-shift schedules, weekends, holidays
• Comfortable spending extended periods in vehicles during live operations (20–30 hours per week)
• Standard office working conditions which includes but not limited to:
• Prolonged sitting
• Prolonged standing
• Prolonged computer use
• Comfortable to undergo regular drug screening in line with DOT regulations

Travel required? -  Moderate: 11%-25%

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.

Job Summary

As Director, ADK Core Engineering, you will oversee all aspects of engineering operations within the core engineering group. Your primary responsibilities include leading multiple engineering teams, defining and executing departmental strategies, and ensuring the timely and successful delivery of engineering projects that follow an iterative, agile methodology.. You will play a pivotal role in driving innovation, fostering collaboration among cross-functional teams, and aligning core engineering efforts with company objectives. Additionally, you will be responsible for managing budgets, setting and tracking performance metrics, and cultivating a culture of excellence and continuous improvement. As a key member of the leadership team, you will contribute to the overall strategic direction of the company and serve as a champion for technological advancement and best practices. Your role will involve providing mentorship and guidance to engineering staff, fostering their professional growth and development, and representing the engineering function in internal and external communications. Overall, your leadership will be instrumental in driving engineering excellence and ensuring the company's continued success in meeting its objectives and delivering value to customers.

Essential Responsibilities

• Manage the integration of next generation sensor technologies, networking, power, and computing  systems into current and upcoming vehicle platforms, while considering cost, performance, size and availability. 
• Lead partnerships with 3rd party engineering firms to define scope of work, monitor progress, and ensure deliverables meet scope, timing and requirements
• Lead the vehicle engineering pertaining to embedded software.
• Ensures close coordination between product management, program management, autonomy and production to ensure the on time development of engineering requirements, design and execution.
• Oversees departmental KPIs, budgets, and people management activities
• Develop, maintain and monitor department objectives and key results (OKRs)
• Ensure that all engineering activities comply with the internal engineering development process
• Support existing platform sustaining engineering activities as needed once vehicles are released to the field in terms of quality, cost,  obsolescence, and user quality of life
• Define the long term technical roadmap and strategic vision, alongside key stakeholders
• Work closely with product management to define the product strategy and product roadmap. 
• Lead core value analysis and value engineering (VA/VE) activities to optimize value of the product and service.
• Work with other teams to develop the autonomous driving system architecture, which meets UL 4600 functional safety requirements. 

Skills and Abilities

Success in this role typically requires the following competencies:

• Ability to inspire and motivate teams, provide clear direction, and lead by example
• Ability to successfully manage and mentor others in leadership (management) roles
• Capacity to envision and articulate long-term, strategic goals, formulate effective strategies, and make decisions that align with organizational objectives
• Excellent verbal and written communication skills to convey complex ideas clearly, influence stakeholders, and foster collaboration
• Skill in understanding and managing emotions, building relationships, and navigating interpersonal dynamics effectively
• Flexibility to thrive in dynamic environments, embrace change, and adjust strategies as needed to achieve goals
• Strong analytical and critical thinking skills to assess situations, evaluate options, and make informed decisions under pressure
• Aptitude for working effectively with cross-functional teams, building consensus, and leveraging diverse perspectives to achieve common goals
• In-depth understanding of the autonomous vehicle, electric vehicle, and automotive landscape
• Understanding of how to lead both hardware and software teams in an agile, test driven approach to move quickly while still ensuring quality and safety of hardware designs

Qualifications and Experience

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

Required

• BS in an Engineering discipline or related field
• 10+ years relevant work experience and proven success leading engineering functions
• Demonstrated people management experience, including hiring, onboarding, retention, coaching, and team building
• Experience setting technical vision and strategy for vehicle systems engineering and autonomous driving subsystems
• Experience working with safety-critical products, preferably automotive or aerospace

Desirable

• MS degree, preferably in Engineering or Business 
• Startup experience
• Autonomous vehicle technology experience
• Experience developing advanced driver assistance systems (ADAS)
• Has led teams in driving continuous improvements into a vehicle after its in market
• Operations management experience
  
  

Physical Requirements

• Standard office working conditions which includes but is not limited to:
• Prolonged sitting
• Prolonged computer use

Travel required? -  Minimal: 1%-10%

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.

Job Summary

The Senior Software Manufacturing Engineer has a comprehensive scope of responsibilities aimed at enhancing production efficiency, reducing costs, improving quality, and troubleshooting production issues. Working cross-functionally within the company and collaboration with external engineering partners in RFPs, SOWs, and design development is a focus for this role. The Senior Software Manufacturing Engineer bridges software development and hardware production, develops manufacturing tools, scripts, and systems to automate testing, programming, and configuration of our Autonomous Drive Kit. This role will engage teams throughout production process; from supply partners, line-side at the integration plant, ,and post-production service

As a Senior with the team, leadership responsibilities include leading PFMEAs, participating in safety review activities, and mentoring junior engineers on relevant best practices.

Essential Responsibilities

• Software Deployment: Develop and maintain software for flashing, testing, and calibrating hardware products during production.
• Production Line Support: Troubleshoot and resolve software-related issues on the manufacturing line to minimize downtime.
• Automation & Tooling: Create scripts and tools to automate testing and data collection for quality control.
• Process Improvement: Analyze production data to identify bottlenecks and implement improvements to assembly processes.
• Validation: Collaborate with hardware teams to validate software functionality during new product introduction (NPI)
• Prepare configuration process and documentation to Assist supply chain with sourcing 
• Responsible for efficiency, cost, and quality improvement projects for production
• Develop in-process check procedures, work instructions and tooling requirements.
• Solicit and formalize requirements to improve manufacturability and design robustness with internal and external stakeholders

Skills and Abilities

Success in this role typically requires the following competencies:

• Familiarity with designing and executing process validations
• Proficient with 3D CAD software of mechanical and/or electrical components 
• Proficient in rapid prototyping, 3-D printing technologies, and basic machining tools
• Proficiency writing embedded code in C/C++
• Excellent communication skills and ability to work across functional teams
• Interest and ability to mentor more junior Engineers
• Ability to read electrical schematics and use oscilloscopes and logic analyzers to debug embedded software
• Deep understanding of autonomous vehicle hardware and sensor technology
• General knowledge of vehicle communication protocols

Qualifications and Experience

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

Required

• Bachelor’s Degree in Mechanical Engineering, Electromechanical Engineering, Industrial Engineering or Computer Science
• Minimum of 5 years' experience in a manufacturing or software engineering capacity
• Demonstrated foundation in data structures and algorithms including the ability to troubleshoot software configured hardware issues
• Strong background in technical and project leadership

Desirable

• Master’s Degree in Engineering
• Knowledge of Sensor or Automotive ECU configuration
• Knowledge of ADAS systems
• Experience developing for bare metal/state based, RTOS, and/or Linux operating system environments
• Experience implementing hardware device drivers and communication protocols such as UART, SPI, I2C, and CAN
• Prior experience integrating with vehicle platform and deep knowledge of vehicle communication protocols
  
  

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%

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.

Job Summary

As an Autonomous Vehicle (AV) Operations Specialist II you will work independently and alongside your teammates to ensure a safe and positive experience for our riders, Autonomous Vehicle Operators (AVOs), and customers by coordinating daily logistics as well as supporting our Autonomous Vehicles during operations. You will report directly to the Site Operations Manager and will be vital in ensuring May Mobility exceeds expectations for customer satisfaction.

Essential Responsibilities

• Ensure that operations during each shift follow rigorous safety guidelines; continuously develop a culture of safety that is beyond reproach
• Follow daily protocols and track site performance metrics to systematically improve outcomes
• Become an expert in quickly collecting, documenting, and reporting feedback on mechanical and vehicle-related issues to the engineering team
• Collaborate with engineers and other team members to troubleshoot and handle escalations that could negatively impact operations
• Create a work environment that values all team members
• Coach autonomous vehicle operators through quality assessments and ride-alongs (where applicable)
• Monitor health of vehicles at all times using company tools for observation
• Ensure all vehicles (and AVOs where applicable) are being monitored while in operation
• Interact with riders as required
• Follow incident response protocol thoroughly and communicate details quickly and clearly to appropriate parties
• Test software changes with focus on safety and communicate clear feedback
• Train and certify new AVOs following approved curriculum (where applicable)
• Collaborate with other sites to maintain consistency and best practices for all; update documentation accordingly
• Represent May to external parties (demonstrations, site visits, Q&As)
• May travel to other sites for coverage, support, and/or training as needed
• Other duties as assigned

Skills and Abilities

Success in this role typically requires the following competencies:

• Strong technical aptitude and ability to learn new software and processes 
• Ability to coach and lead by example
• Strong written and verbal communication skills across multiple platforms; strict attention to detail in every situation
• High comfort level with making judgment calls in ambiguous situations
• Understanding of best practices when it comes to top-notch customer service
• Ability to work effectively with team members at all levels of the organization
• Proficiency with a laptop and Google suite applications (Gmail, sheets, docs, etc.) 

Qualifications and Experience

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

Required Qualifications:

• 3+ years experience in a fast-adapting and customer-focused environment
• 3 + years of supervisory or leadership experience
• Valid U.S. Driver's License

Desirable Qualifications:

• Associates degree or higher in Business, Technical Operations, or related area
• Prior experience in operations or logistics
• Working knowledge of Google Suite

Physical Requirements

• Standard site working conditions which includes but is not limited to:
• Must be able to remain in a stationary position 50% or more of the time
• Must be able to move and / or change positions often when needed
• Prolonged computer use
• Flexibility to work weekends and adjust schedule to align with site operating hours and project needs, including early mornings, evenings, and holidays as required.
• Ability to lift up to 50 lbs
• Ability to stand for prolonged periods of time and climb ladders (infrequent)
• Ability to work outdoors in varying temperatures and weather conditions
• Expected Travel: 5%-15%

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.

Job Summary

We are seeking a dynamic and safety-focused Field Training Manager to lead a team of advanced autonomous vehicle operators. In this pivotal role, you will serve as the onsite liaison between training and operations. You will bridge the gap between technical operations and workforce development by owning your team’s performance, the quality of their feedback and the implementation of new training programs to support operational excellence. You will not only manage the daily performance of our highest-level operators, but also support the educational infrastructure that allows them to mentor others and scale our operations safely.

As a direct report to the Senior Manager, Field Operations Training, you will play a key role in defining training standards, managing our learning content, and fostering a culture of continuous improvement and psychological safety. 

Essential Responsibilities

• Manage, coach, and support a team of Advanced Autonomous Vehicle Operators, ensuring they adhere to the highest standards of safety and professionalism.
• Support onsite operations management personnel to ensure operators are maximizing autonomous capabilities while maintaining strict safety protocols.
• Review and audit operator reports regarding vehicle behavior, software errors, and disengagements to ensure feedback is clear, effective, and actionable for engineering teams.
• Foster a diverse and inclusive team environment, resolving conflicts and championing career development for direct reports.
• Learn to apply Adult Learning Principles to support the design, implementation, and updating of training programs.
• Help maintain a library of training reference materials, Standard Operating Procedures (SOPs), and job aids that are accessible and up-to-date.
• Mentor Advanced Operators on how to effectively train and develop peers, establishing a scalable peer-mentorship program.
• Collaborate with the Senior Training Manager to evolve the scope of the training program as the technology and fleet size grow.

Who You Are

A Proven Leader: You have experience managing diverse teams and know how to motivate individuals from various backgrounds to achieve a common goal.

An Educator at Heart: You understand that people learn differently. You know how to break down complex technical concepts into digestible explanations.

A Communicator: You possess strong written and verbal communication skills. You can translate technical vehicle data into clear training points and vice versa.

Adaptable: You thrive in fast-paced environments where the scope of work evolves. You are comfortable building the plane while flying it.

Skills and Abilities

• Ability to adjust management styles to suit a diverse team of operators, ranging from technical experts to those new to the technology.
• Skilled in delivering real-time, constructive feedback and conducting formal performance reviews that drive professional growth.
• Proficient in de-escalating team issues and fostering a culture of psychological safety where errors are reported without fear of retribution.
• Confidence in delivering training sessions to large groups and leading "Train the Trainer" workshops for senior operators.
• The unique ability to translate complex engineering feedback into simple, actionable instructions for operators, and conversely, translate operator feedback into clear technical reports.
• A strong grasp of road safety laws and defensive driving techniques to effectively audit operator behavior.
• Demonstrable aptitude as a self-starter and project owner 
• A strong understanding of safety culture/protocol compliance
• Strong emotional intelligence, conflict resolution skills, and the ability to give and receive constructive feedback.

Qualifications and Experience

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

Required Qualifications:

• Bachelor’s Degree or equivalent relevant work experience.
• 3 - 5 years of experience in Training Management, Learning & Development, Operations Management or related areas.
• Valid driver’s license and clean driving record for at least 3 years. 

Desirable Qualifications:

• Experience in both operational leadership and training support.
• Experience in the Autonomous Vehicle, Transportation, or Logistics industries.
• Experience with software/project management programs (e.g. Jira, Asana, etc.)
• Previous experience in a role requiring technical writing or technical reporting.

Physical Requirements

• Available for off-shift schedules, weekends, holidays
• Comfortable spending extended periods in vehicles during live operations (20–30 hours per week)
• Standard office working conditions which includes but not limited to:
• Prolonged sitting
• Prolonged standing
• Prolonged computer use
• Comfortable to undergo regular drug screening in line with DOT regulations

Travel required? -  Moderate: 11%-25%

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.

Job Summary

We are looking for an Accounting Manager to add to our Finance team as May Mobility continues to grow. We are looking for a candidate that can build and scale new processes, is motivated by constant process improvement opportunities, and can work well cross-functionally.  This role reports to the Director of Accounting. 

Essential Responsibilities

• Direct monthly financial close process, ensuring accuracy in accordance with both internal and external reporting requirements
• Review and/or prepare journal entries, account reconciliations, and other related analyses associated with monthly financial reporting requirements, including retention of proper documentation for journal entries and account reconciliations
• Provide technical accounting guidance, analysis, and documentation, including implementation of any new accounting standards
• Perform various activities to support the internal control environment, such as approvals of new vendors and weekly expenditures, review of payroll registers and journal entries
• Assist in implementation and documentation of internal controls
• Support financial statement preparation and audits
• Manage outside relationships with other accounting service providers, such as technical accounting and tax matters
• Oversee global consolidations and support international accounting team members
• Ability to manage team members effectively, providing support and coaching as necessary
• Support other special projects as assigned

Skills and Abilities

Success in this role typically requires the following competencies:

• Lead strategic advancement of the department; proactively seeking ways to elevate the technical expertise of the team
• Demonstrated ability to lead, foster and grow a team
• Identifies complex problems and devises optimal and innovative solutions that often cross organizational boundaries
• Orients work within teams to achieve business results
• Demonstrated focus on continuous improvement with regards to processes, planning and execution of activities

Qualifications and Experience

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

Required

• Bachelor’s Degree in Accounting, Finance, Economics, or related field 
• Minimum 7 years working in corporate accounting/finance or public accounting (at least three years in public accounting ideal)
• At least 3 years of Management experience
• Strong understanding of US GAAP
• Strong working knowledge of Excel
• Ability to work independently and as part of a team
• Exceptional problem-solving skills and attention to detail
• Excellent written, verbal and interpersonal communication skills
• Experience managing team members
• Ability to diplomatically approach team members to discuss sensitive financial matters
• Ability to use professional judgment to escalate matters when necessary
• Active CPA license

Desirable

• Master’s Degree in Accounting
• Public accounting experience
• Experience using NetSuite ERP
• Experience working with an automotive or manufacturing company
  
  

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%

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.

Job Summary

The Senior Manager, Customer Operations will oversee a team of 4-8 Site Managers and their respective deployments.  This role is responsible for defining and driving strategic operational excellence, ensuring a safe and pleasant experience for our users, and delivering measurable impact on company-wide financial and efficiency goals.

Essential Responsibilities

• Ensure that operations follow rigorous safety guidelines; continuously develop a culture of safety that is beyond reproach
• Design and lead the implementation of scalable operational frameworks, protocols, and advanced performance reporting across multiple locations to systematically improve outcomes.
• Cultivate a high-performance, inclusive work environment, embody May Mobility values, and mentor and develop emerging leaders to establish a robust talent pipeline.
• Responsible for meeting financial goals and aligning spending with the operating budget across sites
• Ensure exceptional service for both customers and passengers
• Escalate technical and operational issues and advocate for safe solutions for sites
• Maintain thorough knowledge of current products and services to effectively influence and align  stakeholders on operational strategies.
• Create and maintain consistent documented processes for all sites, and oversee execution of those processes
• Drive performance while maintaining safety and user experience
• Lead cross-functional initiatives to optimize end-to-end operational processes, ensuring multi-regional consistency and the adoption of best practices
• Serve as communication pipeline between site staff and other key stakeholders
• Develop and implement operational forecasting models to ensure optimal resource allocation and proactive site-level planning.
• Drive alignment across teams.
• Work closely with other leaders to ensure consistent processes and sharing of best practices.

Skills and Abilities

Success in this role typically requires the following competencies:

• Exceptional written and verbal communication skills
• Ability to effectively communicate and manage teams remotely, with ability to travel as needed
• Ability to build and maintain relationships across technical and nontechnical audiences
• Commitment to drive results and align teams toward key performance goals
• Ability to work effectively with team members at all levels of the organization
• Experience in strategic planning and execution in a dynamic, high-growth environment
• Flexibility to define and implement  adaptive processes, and lead organizational change management initiatives
• Ability to create, maintain, and govern standardized, global process documentation
• Strong strategic decision-making skills with the ability to forecast and mitigate multi-regional operational risks

Qualifications and Experience

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

Required

• Excellent verbal and written communication skills 
• At least 7 years of relevant experience
• Proven experience building, training, coaching and managing small, highly-effective teams
• Associates degree or higher in Business, Technical Operations, or related degree
• Proven track record as a formal people leader in a fast adapting and customer-focused environment
• Proven experience making judgment calls in ambiguous situations 
• Previous experience developing processes and managing projects
• Proven change management experience
• Prior experience in an operations or logistics background
• Working knowledge of Google Suite, Slack, and Atlassian products

Desirable

• Bachelor's degree or higher in Business, Technical Operations, or related degree, or equivalent experience
• Leadership experience in a startup environment
  
  

Physical Requirements

• Standard office working conditions which includes but is not limited to:
• Prolonged sitting
• Prolonged standing
• Prolonged computer use

• Travel required? -  Frequent: 26%-50%

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.

Job Summary

The Director of Perception will be responsible for leading the vision, strategy, and technical roadmap of the Autonomy Perception team at May Mobility.  The Director of Perception plays a key role in advancing May’s core autonomy software stack, ensuring that May’s unique, innovative MPDM architecture operates on high quality data from sensors and sensor processing algorithms.

This is a unique opportunity to sit at the crossroads of cutting-edge autonomous driving technology, transformative mobility, and the products that enable change in the transportation landscape of cities today.

This position reports to the Sr. Director of Autonomy and is responsible for providing world class leadership to our autonomy engineering managers and engineers, in order to propel their professional success as they develop industry-leading technology advancements.

Essential Responsibilities

• Be a technical thought leader to champion May Mobility’s mission, vision, values and company priorities to develop and execute autonomy strategy with fellow executives and engineering leaders.
• Work cross-functionally with Vehicle Engineering, Product, and Operations leaders to solve and deploy solutions to autonomy perception challenges.
• Deliver innovative and robust advances to May’s perception technology including measurable improvements to object detection, classification, tracking, and prediction.
• Ensure May’s core perception technologies operate efficiently and effectively in commercial deployments, including supporting effective triage and resolution of issues related to this technology.
• Maintain an understanding of related research fields including machine learning, end-to-end learned systems, tracking systems, multi-sensor fusion, and behavior prediction.
• Lead design and specification of next-generation sensor suites to maximize May’s perception system performance and optimize cost.  Work with systems and hardware teams to support prototyping and evaluating future systems.
• Develop and maintain key performance indicators (KPIs) to track autonomy performance
• Identify key gaps and challenges in May’s autonomy perception technology. 
• Construct and execute a roadmap to solve key challenges and work with other autonomy leaders to synchronize this roadmap with the roadmaps of other functions.
• Identify monthly, quarterly and yearly milestones to iteratively improve performance in both the short and long term.
• Take responsibility for the overall planning, execution, and success of complex technical projects and provide the team with technical leadership.
• Help set perception team hiring targets. Interview, hire, and manage a diverse team of talented perception engineers and scientists.
• Oversee the escalation of critical issues and opportunities within the autonomy team’s leadership, driving clear recommendations to maximize the effectiveness of the team with respect to company priorities and strategy.

Skills and Abilities

Success in this role typically requires the following competencies:

• Deep technical knowledge and demonstrated success in delivering innovative solutions in one or more of the fields of multi-sensor fusion, object detection, scene segmentation, tracking, and behavior prediction.
• A demonstrated strong attention to detail with the ability to understand, track, and efficiently mitigate technical, integration, and personnel risks.
• Demonstrated success in working in uncertain work environments with an ability to turn concepts and problems that are uncertain into effective, executable plans to resolve these issues.
• A proven ability to get the best out of others, set goals and expectations for others, communicate clearly and honestly, and discuss difficult topics.
• An ability to clearly and concisely communicate technical concepts including root cause analysis, technical challenges and their solutions, and results backed by data.
• Proven ability to work with other peers in related technical areas to jointly solve larger system issues.
• Proven ability to deliver under tight schedules.

Qualifications and Experience

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

Required

• 10+ years of engineering experience
• PhD or masters degree in a relevant, highly technical field (e.g. robotics, computer science, computer engineering, aerospace engineering, physics)
• A demonstrated ability to solve complex autonomy problems as a principal investigator, staff or principal engineer, or director (or equivalent role)
• 7+ years of software-focused engineering experience solving challenging robotics problems in mission critical software and/or robotic systems. 
• Experience leading a team of 10+ engineers - setting goals, leading by example, handling challenging situations and failures
• Previous experience as individual contributor successfully developing and deploying innovative solutions in the autonomous vehicle or related space

Desirable

• 5+ years of management experience
• Experience developing and/or using MPDM
• Previous experience growing a team, crafting hiring plans, designing and conducting interviews, reviewing candidates, and making hiring decisions
• Deep understanding of the challenges facing autonomous vehicles as well as the state of the art in autonomy.
• Previous startup experience
  
  

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%

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.

May Mobility is experiencing a period of significant growth as we expand our autonomous shuttle and mobility services nationwide. We are seeking talented data scientists and machine learning engineers to develop automated methods for contextualizing data collected by our autonomous vehicles. This will enable us to generate valuable insights from our data, making it easily searchable for triaging issues, creating test sets, and building datasets for autonomy improvements. Join us and make a crucial impact on our development and business decisions!

Responsibilities

• Evaluate simulation test results to drive release & safety decisions.
• Work independently with cross functional teams to develop software and system requirements.
• Lead team code quality activities including design and code reviews.
• Communicate complex analytical findings and model performance metrics to both technical and non-technical stakeholders through clear visualizations and presentations.
• Provide technical guidance to team members.

Skills

Success in this role typically requires the following competencies:

• Expertise in analyzing high-dimensional simulation data.
• Experience building ML prediction models.
• Detail-oriented with a focus on validation, testing, and error detection.
• Awareness of the latest advancements in the field, with the ability to translate innovative concepts into practical solutions for May.
• Excellent problem-solving skills with a meticulous approach to model architecture and optimization.
• Ability to provide individual and team mentorship, including technical leadership for complex projects.

Qualifications and Experience

Required

• B.S, M.S. or Ph.D. Degree in Engineering, Data Science, Computer Science, Math, or a related quantitative field.
• 10+ years of hands-on experience as a Data Scientist or ML Engineer with a strong focus on algorithmic design and deep learning.
• Strong proficiency in Python, SQL, and data analysis tools (e.g., Pandas, NumPy, Spark).
• Demonstrated expertise in databases for data extraction, transformation, and analysis.
• Proven experience building and managing large datasets and evaluations.
• Hands-on expertise in architecting and training complex predictive machine learning models.
• Prior experience in mentoring and supporting junior engineers.

Desirable

• Background in Autonomous vehicles, robotics, physics or related fields.
• Hands-on experience working with simulation data.

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.

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 Mobile Applications
• 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? -  Minimal: 1%-10%