
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.
🕒 July 8
🏄 California, South Carolina – Remote
💵 $224k - $356.5k / year
⏰ Full Time
🟠 Senior
🏗️ Platform Engineer
🦅 H1B Visa Sponsor
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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.
• Analyze and demonstrate HW fault metric compliance • Propose new methods and refine existing practices • Carry out analysis using classical approaches such as fault trees alongside model-based techniques • Develop automation to support the analysis of complex multi-layered systems • Analyze and interpret internal and external safety documentation for improvements • Ensure integration of the System, Software and Hardware safety analysis methodologies
• BS, MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience • 12+ years of experience in systems architecture or related fields • Experience working across company boundaries as development partners • Experience in safety analysis of embedded systems at the Hardware and Software Level • Proven competence in performing safety analysis using qualitative and quantitative methods (e.g FTA, FMEA and FMEDAs) • Background in HW SOC and/or board level architecture • Familiarity with safety standards (ISO 26262, IEC 61508, ISO/PAS 21448) • Experience in the evaluation of fault metrics through the combination of built-in HW measures and application coverage
• equity • benefits
Apply Now🕒 July 8
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