Senior Software Systems Engineer, L3 and L4 – Autonomous Driving

🕒 April 13

🏄 California – Remote

🏄 California – Remote

💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

⚙️ Systems Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 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

🎯 Requirements

• 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

🏖️ Benefits

• equity • benefits

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