Director, System Safety

Emploi pas sur LinkedIn

🕒 il y a 4 mois

🚗 Michigan – Distant

🚗 Michigan – Remote

💵 $165 000 - $250 000 / an

⏰ Temps Plein

🔴 Expert

👔 Directeur

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

👻 Score fantôme 21%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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May Mobility

Site WebLinkedInTous les Emplois

51 - 200 employés

Fondée en 2017

🚘 Automobile

📦 Logistique

🚗 Transport

Automotive • Logistics • Transport

May Mobility est un pionnier dans le développement de la technologie des véhicules autonomes et des solutions de transport. Ils se concentrent sur la création d'options de transport public sûres, fiables et accessibles en déployant des navettes sans conducteur dans les environnements urbains. Leurs solutions visent à améliorer la mobilité urbaine, réduire la congestion routière et offrir des alternatives de transport écologiques. Avec un fort accent sur la sécurité des piétons et des passagers, la technologie de May Mobility s'intègre harmonieusement dans l'infrastructure urbaine existante pour proposer une nouvelle vision du transport public.

Description

• 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.

🎯 Exigences

• 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.

🏖️ Avantages

• 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