Senior Vehicle Communications Architect

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 500,000 autonomous rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us. Job Summary The Senior Vehicle Communications Architect designs the end-to-end network, telematics, and in-vehicle connectivity frameworks that connect the critical components of May Mobility’s Autonomous Driving Kit (ADK), defining how the vehicle’s physical domains, central compute, and cloud systems communicate. As the company explores new platforms, this role delivers the design maturity needed to create secure, high-performance, and scalable systems that are reliable, cost-conscientious, and suitable for collaboration with our OEM partners. Bridging hardware and software to enable AV features, the Senior Vehicle Communications Architect upholds functional safety and cybersecurity, drawing on deep experience in the automotive or autonomous vehicle space and a strong command of relevant industry standards such as ISO 26262, ISO 21448, ISO/SAE 21434, and UL 4600. Essential Responsibilities Define the in-vehicle network architecture and roadmap across high-speed automotive Ethernet, CAN/CAN-FD, LIN, and Time-Sensitive Networking (TSN), scaling to the ECUs, sensors, high-performance compute, and domain/zone controllers spanning the vehicle and the ADK Architect connectivity infrastructure for over-the-air (OTA) updates, telematics, and secure vehicle-to-cloud communications Define the service-oriented architecture (SOA) and middleware communication stacks (EX. Classic and Adaptive AUTOSAR and SOME/IP) to enable seamless communication between physical domains, central compute, and cloud systems Enforce hardware and software interfaces that align with automotive cybersecurity (ISO/SAE 21434), functional safety (ISO 26262), SOTIF (ISO 21448), and AV safety case (UL 4600) requirements Evaluate architecture trade-offs across performance, cost, reliability, safety, and security to deliver design maturity appropriate for OEM partner programs Leverage a system level understanding of our products and technologies to support cross-functional engineering efforts Collaborate with systems engineering, controls, software, and OEM platform partners to align communication interfaces across programs Evaluate industry and regulatory requirements for applicability to May Mobility products Performing FMEA analysis, tracking findings to resolution Follow safe work procedures Skills and Abilities Success in this role typically requires the following competencies: Excellent written, verbal, and presentation skills Ability to multitask and adapt to shifting priorities in a fast-paced work environment Understanding of agile startup and engineering principles and mindset Expertise in automotive communication networks and in-vehicle network architecture, such as automotive Ethernet, CAN/CAN-FD, LIN, and Time-Sensitive Networking (TSN) Experience architecting service-oriented architectures (SOA) and automotive middleware, such as Classic and Adaptive AUTOSAR and SOME/IP Familiarity with OTA update, telematics, and vehicle-to-cloud connectivity architectures Knowledge of network and embedded security principles for safety-critical systems Working knowledge of functional safety, SOTIF, and cybersecurity standards (ISO 26262, ISO 21448, ISO/SAE 21434) and AV safety case frameworks (UL 4600) Ability to balance performance, scalability, cost, reliability, safety, and security in architecture decisions 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 Qualifications and Experience Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience: Required Bachelor’s Degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field from an accredited university 5+ years experience in automotive or autonomous vehicle engineering,