Lead Safety Architect – Autonomous Vehicles

🕒 April 13

🏄 California, District of Columbia, +3 more states – Remote

🏄 California – Remote 🏛️ District of Columbia – Remote 🐊 Florida – Remote 🌲 North Carolina – Remote ☕ Washington – Remote

💵 $224k - $356.5k / year

⏰ Full Time

🟠 Senior

🏛️ Architect

🦅 H1B Visa Sponsor

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👻 Ghost score 46%

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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

• Lead multi-functional initiatives to define safety architecture and requirements for autonomous vehicles • Deliver safety concepts and analysis to enable continuous and safe software deliveries • Define and improve safety metrics in collaboration with experts in perception, AI, motion planning, and safety architecture • Improve processes and tools for safety analysis and data-driven evaluation • Share safety analysis and readiness results with colleagues and management • Integrate safety measures into NVIDIA DRIVE products • Ensure autonomous vehicle safety at scale and achieve NVIDIA's safety standards

🎯 Requirements

• MS or higher in Computer Science, Robotics, or equivalent experience • 12+ years of relevant industry experience • A structured approach to systems and software development • Proven record of successfully leading multi-functional efforts in architecture, development, or verification • Excellent analytical and problem-solving skills • Strong written and verbal communication skills • ADAS or autonomous vehicle systems or Machine learning and Robotics experience • Knowledge and experience in Data science and statistics • Worked in V&V of safety-critical systems • Knowledge of Sensor technologies, e.g. radar, lidar, camera • Experience with system safety methodologies & practices (FMEA, FTA, STPA,..) and safety standards (ISO 26262, IEC 61508, UL4600, ISO21448, ISO 8800..)

🏖️ Benefits

• Equity • Benefits