
1001 - 5000 funcionários
Fundada em 2020
💼 Consultoria
📦 Logística
🏭 Manufatura
Consulting • Logistics • Manufacturing
A Motional é uma empresa líder no desenvolvimento de veículos autônomos, focando em tornar o transporte sem motorista uma realidade segura, confiável e acessível. Uma joint venture entre o Hyundai Motor Group e a Aptiv, a Motional tem estado na vanguarda da tecnologia sem motorista há décadas, criando veículos autônomos de Nível 4 da SAE para serviços de transporte por aplicativo e entrega. A empresa enfatiza segurança e inovação, aproveitando o aprendizado de máquina avançado e a tecnologia automotiva para construir veículos totalmente autônomos que se integram perfeitamente às redes de mobilidade, proporcionando uma experiência agradável para o transporte diário e entregas.
🕒 Setembro 16
🎰 Nevada, Massachusetts, +1 estados a mais – Remoto
💵 $200.000 - $275.000 / ano
⏰ Tempo Integral
🟠 Sênior
🧑💻 Engenheiro Full-stack
🦅 Patrocina Visto H1B
👻 Score fantasma 2%
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

1001 - 5000 funcionários
Fundada em 2020
💼 Consultoria
📦 Logística
🏭 Manufatura
Consulting • Logistics • Manufacturing
A Motional é uma empresa líder no desenvolvimento de veículos autônomos, focando em tornar o transporte sem motorista uma realidade segura, confiável e acessível. Uma joint venture entre o Hyundai Motor Group e a Aptiv, a Motional tem estado na vanguarda da tecnologia sem motorista há décadas, criando veículos autônomos de Nível 4 da SAE para serviços de transporte por aplicativo e entrega. A empresa enfatiza segurança e inovação, aproveitando o aprendizado de máquina avançado e a tecnologia automotiva para construir veículos totalmente autônomos que se integram perfeitamente às redes de mobilidade, proporcionando uma experiência agradável para o transporte diário e entregas.
• Lead the Safety & Targets team within the Systems Readiness and Performance organization • Drive development and maturation of collision detection and response and imminent collision handling across autonomy, remote vehicle assistance, and operational functions • Define safety requirements, thresholds, response behaviors, and validate them • Own benchmark programs across safety, comfort, and assertiveness • Establish human-driving benchmarks and convert them into measurable acceptance criteria • Advance evasive maneuver and preventability modeling • Define validation coverage, identify gaps, and work cross-functionally to close them • Own hazard analysis, STPA, HAZOP, FMEA, requirements, coverage, and other safety-case evidence • Sustain and expand safety-case claims through external assessment and regulatory review • Productionize crash database analysis, collision-event ingestion and labeling, and automated monitoring reports • Mentor and grow a high-performing engineering team • Partner with Autonomy, Infrastructure, Operations, Legal, and Systems teams to improve safety, comfort, assertiveness, and launch readiness • Drive system design, verification, validation, and performance-target definition for fully driverless IONIQ 5 robotaxis
• Bachelor’s degree and 7+ years of experience in Systems Engineering, Functional Safety, Autonomous Systems, or Robotics, with deep expertise in one and working knowledge of the others; or Master’s degree/PhD and 5+ years of experience • 3+ years of experience leading safety-critical development, validation, or safety assurance programs for autonomous driving or other emerging safety-critical technologies • Proven track record of growing small, high-performing teams • Experience defining quantitative performance targets and acceptance criteria spanning safety, comfort, and assertiveness • Expertise in STPA, HAZOP, FMEA, hazard analysis, and risk assessment • Expertise leveraging large-scale simulation, track, and road data • Familiarity with SOTIF, ISO 26262, UL4600, AVSC behavior competencies, and other industry standards • Proven ability to build consensus across multidisciplinary teams • Experience with collision and crash data analysis, public crash databases, and regulatory incident reporting is desirable • Strong foundation in statistical methodology, data science, and scientific rigor; proficiency in Python, SQL, and data visualization is desirable • Experience with industry benchmarks and human naturalistic driving behavior is desirable • Familiarity with ride comfort and motion-sickness modeling, or assertiveness/conservatism driving-policy metrics is desirable • Experience presenting safety argumentation to external assessors, regulators, or certification bodies is desirable • Experience publishing safety research or white papers, or participating in industry consortia is desirable • Experience collaborating within agile environments and global, distributed teams is desirable • Excellent communication skills and proactive mindset are desirable • Eligibility for employment in the United States is verified through E-Verify
• Medical insurance • Dental insurance • Vision insurance • 401(k) with a company match • Health savings accounts • Life insurance • Pet insurance • Bonus or company equity may be included • Hybrid schedule with in-office time at one of the Boston, Pittsburgh, or Las Vegas locations, or fully remote • Inclusive, diverse, progressive global culture
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