Senior Software Systems Engineer, L3 and L4 – Autonomous Driving

Emploi pas sur LinkedIn

🕒 il y a 4 mois

🏄 California – Distant

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💵 $184 000 - $356 500 / an

⏰ Temps Plein

🟠 Senior

⚙️ Ingénieur Systèmes

🦅 Parrain de Visa H1B

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👻 Score fantôme 36%

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🗣️🇺🇸🇬🇧 Anglais requis

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Logo of NVIDIA

NVIDIA

10 000+ employés

Fondée en 1993

🏥 Santé

🏭 Fabrication

🤖 Intelligence artificielle

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA est une entreprise technologique de premier plan, spécialisée dans le calcul accéléré et l’intelligence artificielle (IA). NVIDIA est à l’avant‑garde des avancées en GPU (processeurs graphiques), cloud computing, centres de données et réalité virtuelle, avec un accent particulier sur les secteurs du gaming, de l’automobile, de la santé et de la robotique. Ses innovations, telles que NVIDIA Omniverse, transforment les processus numériques traditionnels en permettant des simulations haute fidélité et des tâches de rendu de pointe. Ses applications couvrent de nombreux secteurs, des véhicules autonomes avec NVIDIA DRIVE aux solutions de santé avec NVIDIA Clara, ainsi que des analyses et workflows pilotés par l’IA.

Description

• Develop use cases and system requirements for L3 and L4 autonomous driving products based on customer needs, traffic regulations, certification standards, and industry guidelines • Perform system-level analysis to define performance requirements and allocate performance budgets across subsystems • Formulate test cases and define critical performance metrics to ensure compliance with functional and safety requirements • Define and drive online and offline test strategy and execution at both vehicle and component levels • Partner closely with Data Analytics, Test Engineering, and System Integration & Test teams • Ensure the right evaluators and important metrics are developed • Prove that datasets cover sufficient scenarios and requirements • Target appropriate sampling strategies through Data Collection and Real-World Driving • Establish strong multi-functional relationships with collaborators across engineering, safety, validation, and product teams • Drive innovation in requirements decomposition, traceability, and verification processes • Promote and cultivate a strong systems engineering approach across the organization

🎯 Exigences

• MS or PhD in Engineering, Physics, Computer Science, or a related field (or equivalent experience) • 8+ years proven experience in safety-critical systems engineering, system analysis, data analysis, and software architecture • Strong software development background with proven coding skills • Hands-on experience in SOTIF analysis (ISO 21448), functional safety (ISO 26262), and multi-functional architectural trade-off analysis • Strong leadership and interpersonal skills, with the ability to drive alignment across large organizations • Proven understanding of trade-offs between End-to-End deep learning approaches, classical modular perception/planning stacks, and associated validation and test strategies

🏖️ Avantages

• equity • benefits

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