May Mobility

Engineer

• Lead a team of engineers in developing simulation tests to validate the May autonomous driving software's performance and safety
• Collaborate with systems, safety, testing, and autonomy engineering teams to ensure simulation coverage of common and rare driving scenarios and ODD elements
• Drive traceability between simulations and scenario and ODD database
• Analyze simulation results to identify performance trends, uncover potential issues, and provide insights for improvements
• Coordinate with Testing and Validation team to ensure simulation results are consistent with real-world testing
• Develop methods for evaluating simulation performance against safety performance indicators
• Identify and drive improvements to simulation technology and infrastructure
• Establish and oversee processes for high-quality simulation development.

Lead Simulation Engineer

Machine Learning Engineer

• Design, implement, and deploy state-of-the-art machine learning models for analyzing multimodal data to generate searchable metadata and facilitating downstream engineering workflows such as quick issue triaging.
• Research and implement novel techniques for sequential feature extraction, weak supervision, and self-supervised learning to efficiently handle long-tail events and continuously improve labeling data quality.
• Curate high-quality datasets by applying advanced data mining techniques to ensure model robustness, performance, and coverage.
• Establish and maintain frameworks for model validation and performance monitoring to drive continuous improvement.

Senior ML Engineer

Data Scientist

• Design, implement, and monitor robust Key Performance Indicators (KPIs) and address performance anomalies.
• Develop dynamic, real-time monitoring solutions and interactive dashboards to track key metrics and automate data quality checks, significantly reducing manual reporting overhead.
• Apply advanced analytical techniques, including specialized Machine Learning and Natural Language Processing (NLP), to conduct deep-dive analyses and uncover the root causes of trend shifts.
• Translate complex model outputs and findings into clear, actionable narratives and presentations.

Senior Data Scientist

Data Engineer

• Design, build, and optimize high-throughput ETL pipelines using PySpark and cloud services to manage the flow of multimodal AV sensor logs
• Collaborate directly with ML Engineers to productionize, scale, and performance-tune the model inference pipelines, focusing on maximizing data throughput and minimizing operational costs
• Implement robust data quality checks, schema validation, and monitoring on all raw input data and on the structured, searchable metadata
• Identify bottlenecks in data movement and processing, improve the speed and efficiency of data preparation, and downstream data retrieval for dashboards and data search functionalities.
• Serve as the liaison between the Data Science teams and the Data Platform team, advocating for and implementing infrastructure improvements necessary for long-term scalability and reliability.

Senior Data Engineer

• 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

Senior Autonomy Controls Engineer

• 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 optimizing 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.

Autonomy Engineer – Perception Optimization

Financial Planning and Analysis

• Lead the budgeting, forecasting, and monthly close processes for all business units.
• Partner with the accounting team on aspects of the monthly, quarterly, and annual close processes, including managing expense accruals, management reporting, and budget vs. actual variance analysis.
• Update the forecast on a rolling basis including inputs for headcount spend, non-headcount spend, and capital expenses. Collaborate with business partners to ensure that the forecast is accurate, precise and achievable.
• Analyze financial and operational results to understand and report on KPIs, variance to forecast, variance to budget, and underlying causes for business performance.
• Prepare and present financial results, risks, and opportunities to business partners and the Senior Leadership Team using professional reports and compelling visuals.
• Collaborate with leaders across the company to ensure resource allocation is aligned with company strategy and provide creative alternatives and recommendations.
• Act as a trusted financial advisor to business partners and the senior leadership team.
• Drive continuous improvement of financial processes and systems to meet the needs of the growing business.
• Develop financial projections, pro forma financial statements, and other analyses (e.g. NPV, breakeven, make vs. buy, payback, etc.) for new business cases and for investor presentations.
• Identify strategic drivers of the business and develop scenario-based forecasts based on the impact of these drivers.
• Effectively communicate insights and plans to cross-functional team members and management, including recommendations backed by data.
• Provide guidance and team development for direct reports as needed.
• Stay current on FP&A industry best practices.
• Actively monitor and analyze external factors such as market trends, competitor actions, technological advancements, and industry regulations to identify potential opportunities and threats.

Director, Financial Planning and Analysis

Systems Engineer

• Develop and test state-of-the-art robotics software in C/C++ to enable reliable and safe operation for Autonomous Vehicles
• Coordinate with cross functional teams to develop software and system requirements for Autonomous Vehicle behavior and controls subsystems
• Participate in team code quality activities including design review, code review, and documentation of Autonomous Vehicle subsystems
• Collaborate with data science team members to design and implement metrics capturing key performance indicators of Autonomous Vehicle control 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

Autonomy Systems Engineer

• Own the many different types of data streams that our systems and operations produce so that they may be used effectively to scale our software development and operations.
• Lead design, manage, and scale our real-time and historical data pipelines to enable our fleet to operate and facilitate continuous development of our system.
• Build infrastructure others can use: define best practices and set technical standards for ingestion, transformation, validation, and testing.
• Identify technical bottlenecks and resourcing gaps, propose scalable solutions or team structure adjustments, and contribute to the technical roadmap while mentoring others to improve team capacity.
• Own data observability, integrity, and monitoring best practices.
• Collaborate across teams to make data accessible via APIs and internal tools.
• Organize and scope team work day-to-day along with performance management cycles.
• Be a role model and a multiplier, coaching and mentoring engineers across the org.

Senior Manager, Data Engineering

Full-stack Engineer

• Design, build, and validate real-time interfaces and decision-making frameworks for human supervision and assistance of autonomous vehicles
• Architect and develop systems for shared autonomy, including remote supervision, teleoperation escalation paths, and operator assistive controls
• Partner with autonomy, UX, and operations teams to design robust, human-centered AV workflows
• Identify and implement best practices for operator intent recognition, decision support, and assistive control strategies
• Lead or collaborate on field validation and simulation efforts with the real-world fleet
• Serve as a technical thought partner across operations, product, and engineering, with optional people leadership responsibilities
• Deliver features that directly impact the safety, scalability, and user experience of May Mobility's autonomy system

Senior Software Engineer, Human-Robot Interaction, Autonomous Vehicles

• Leverage a system level understanding of products and technologies to support cross-functional engineering efforts
• Create and maintain requirement specifications for autonomous systems, including analyzing stakeholder, product, and safety requirements to define technical system and subsystem requirements
• Support system design activities, assessing impact and conformance to requirements
• Collaborate with test and validation teams to define verification criteria for system requirements
• Review legacy requirements to ensure completeness and correctness
• Develop and execute methods for identifying and documenting general and location specific Operational Design Domain (ODD)
• Lead engineering process continuous improvement activities, proposing solutions and gaining buy-in from impacted teams
• Evaluate industry and regulatory requirements for applicability to May Mobility products
• Perform FMEA analysis and track findings to resolution
• Develop training materials outlining process flows and tool usage instructions to ensure regulatory compliance and best practice
• Follow safe work procedures and report workplace hazards, injuries and illness as required

Senior Systems Engineer

Technical Project Manager

• Lead teams in addressing challenging problems within autonomous driving.
• Conduct in-depth, data-driven problem analysis.
• Clarify ambiguous requirements and prioritize competing technical tasks.
• Proactively assess and mitigate risks.
• Maintain detailed status tracking of projects.
• Foster effective cross-functional collaboration with teams including autonomy, vehicle engineering, software, product, finance, and operations.
• Scope, plan, and track autonomy projects, providing leadership in decision-making.
• Understand technical architectures, propose alternatives, clarify priorities, and identify process efficiencies.
• Proactively remove obstacles, identify communication/schedule gaps, support teams with competing priorities, and drive results.
• Build and maintain strong relationships with internal and external partners, aligning their needs with May Mobility's product vision.
• Guide autonomy engineering in developing tools and processes to identify risks and coordinate on-time, high-quality product delivery, with a focus on data-driven decisions.
• Consolidate input from various teams to produce and distribute project work plans, procurement requests, statements of work, program plans, and Gantt charts; lead teams without direct supervisory authority.
• Coordinate and facilitate workshops, managing agendas, tracking progress, and ensuring accountability for outstanding items.
• Provide regular, data-driven status updates on autonomy projects, including progress and risks.
• Ensure effective communication and coordination between development and production teams.
• Drive decisions based on data and champion the acquisition of necessary data for informed decision-making.

Senior Technical Project Manager

Clinical Operations

• Oversee a team of Site Supervisors, Technicians, and contracted Autonomous Vehicle Operators to run seamless shuttle operations.
• Report to the May Mobility Customer Operations Manager and serve as primary site contact.
• Ensure that operations follow rigorous safety guidelines and continuously develop a culture of safety.
• 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 and travel up to 10% as required.

Site Operations Manager II

Engineering Manager

• Lead and grow a team of engineers building microservices and real-time applications
• Design and evolve system architecture for reliability, performance, and scale
• Provide technical direction and mentorship across backend and frontend areas
• Collaborate with product and engineering teams to deliver high-quality features
• Ensure best practices in observability, testing, and operational readiness
• Balance business priorities with technical quality and team health

Lead Simulation Engineer

Senior ML Engineer

Senior Data Scientist

Senior Data Engineer

Senior Autonomy Controls Engineer

Autonomy Engineer – Perception Optimization

Director, Financial Planning and Analysis

Autonomy Systems Engineer

Lead Simulation Engineer

Senior Manager, Data Engineering

Senior Software Engineer, Human-Robot Interaction, Autonomous Vehicles

Senior Systems Engineer

Senior Technical Project Manager

Site Operations Manager II

Software Development Manager, Distributed Systems and Real-Time Applications