Principal Engineer, Team Lead – Safety & Targets

🕒 il y a 1 mois

🎰 Nevada, Massachusetts, +1 états de plus – Distant

🎰 Nevada – Remote 🍂 Massachusetts – Remote 🔔 Pennsylvania – Remote

💵 $200 000 - $275 000 / an

⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

👻 Score fantôme 2%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.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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Motional

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 2020

💼 Conseil

📦 Logistique

🏭 Fabrication

Consulting • Logistics • Manufacturing

Motional est une entreprise leader dans le développement de véhicules autonomes, dédiée à faire du transport sans conducteur une réalité sûre, fiable et accessible. Joint-venture entre Hyundai Motor Group et Aptiv, Motional est à la pointe de la technologie sans conducteur depuis des décennies, créant des véhicules autonomes de niveau 4 de la SAE pour les services de covoiturage et de livraison. L'entreprise met l'accent sur la sécurité et l'innovation, en s'appuyant sur le machine learning avancé et la technologie automobile pour construire des véhicules entièrement autonomes qui s'intègrent parfaitement dans les réseaux de mobilité, offrant une expérience agréable pour les transports quotidiens et les livraisons.

Description

• 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

🎯 Exigences

• 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

🏖️ Avantages

• 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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