
10,000+ employees
Founded 1993
🤖 Artificial Intelligence
🎮 Gaming
Artificial Intelligence • Gaming • Automotive
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.
🕒 April 13
🏄 California – Remote
💵 $184k - $356.5k / year
⏰ Full Time
🟠 Senior
⚙️ Systems Engineer
🦅 H1B Visa Sponsor
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10,000+ employees
Founded 1993
🤖 Artificial Intelligence
🎮 Gaming
Artificial Intelligence • Gaming • Automotive
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.
• 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
• 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
• equity • benefits
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