
51 - 200 funcionários
Fundada em 2017
🚗 Transporte
🤖 Inteligência Artificial
Transport • Artificial Intelligence
A May Mobility é pioneira no desenvolvimento de tecnologia para veículos autônomos e soluções de transporte. Eles se concentram em criar opções de transporte público seguras, confiáveis e acessíveis, implantando ônibus sem motorista em ambientes urbanos. Suas soluções visam melhorar a mobilidade urbana, reduzir a congestão do tráfego e fornecer alternativas de transporte ecologicamente corretas. Com uma forte ênfase na segurança de pedestres e passageiros, a tecnologia da May Mobility se integra perfeitamente à infraestrutura existente das cidades para oferecer uma nova visão do transporte público.
🕒 Maio 5
🚗 Michigan – Remoto
💵 $165.000 - $250.000 / ano
⏰ Tempo Integral
🔴 Especialista
👔 Diretor
🦅 Patrocina Visto H1B
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

51 - 200 funcionários
Fundada em 2017
🚗 Transporte
🤖 Inteligência Artificial
Transport • Artificial Intelligence
A May Mobility é pioneira no desenvolvimento de tecnologia para veículos autônomos e soluções de transporte. Eles se concentram em criar opções de transporte público seguras, confiáveis e acessíveis, implantando ônibus sem motorista em ambientes urbanos. Suas soluções visam melhorar a mobilidade urbana, reduzir a congestão do tráfego e fornecer alternativas de transporte ecologicamente corretas. Com uma forte ênfase na segurança de pedestres e passageiros, a tecnologia da May Mobility se integra perfeitamente à infraestrutura existente das cidades para oferecer uma nova visão do transporte público.
• 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.
• 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.
• 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
Candidatar-se🕒 Maio 5
Director of Clinical Science at Natera overseeing clinical program execution in oncology. Collaborating cross-functionally for successful clinical trial design and delivery.
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🗣️🇺🇸🇬🇧 Inglês obrigatório
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1001 - 5000
🧬 Biotecnologia
💊 Farmacêutico
⚕️ Seguro de Saúde
Regional Business Director overseeing Clinical Account Managers and Specialists for Sobi. Driving performance and managing sales strategies for rare disease therapies in the Mid-Atlantic.
🗣️🇺🇸🇬🇧 Inglês obrigatório