
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.
🔥 0 minutes ago
🏄 California, North Carolina, +2 more states – Remote
💵 $136k - $264.5k / year
⏰ Full Time
🟠 Senior
✍️ Designer
🦅 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.
• Apply practical AI workflows for debug assistance, run triage, summarization, documentation, and workflow automation • Build and improve high-speed IO integration, build, simulation, and pre-submit qualification flows for large ASIC IP development • Improve CI reliability, turnaround time, debuggability, and scalability across distributed compute environments • Root-cause complex failures across development, verification, build systems, tools, infrastructure, and compute environments • Convert recurring integration or qualification difficulties into durable automation and process improvements • Define, publish, and use metrics for integration latency, flow health, failure trends, and engineering efficiency • Use metrics to guide priorities, forecast risk, and optimize operated systems • Collaborate with ASIC designers, verification engineers, firmware engineers, methodology teams, and infrastructure partners • Investigate unfamiliar technical areas, understand systems end to end, and drive ambiguous problems to closure
• BS or MS in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience • 5+ years of relevant industry experience • Strong understanding of ASIC development workflows, including builds, simulation, regressions, debug, integration, and qualification • Experience with verification methodology such as UVM or similar • Strong working knowledge of Verilog/SystemVerilog, including RTL development or pre-silicon verification/debug experience • Exposure to VCS, Verdi, Xcelium, or similar simulation and debug tools • Strong programming skills in Python, Perl, or another scripting/systems programming language • Experience with SystemVerilog and object-oriented verification environments • Strong root-cause analysis skills, especially for intermittent or hard-to-isolate infrastructure failures • Ability to independently investigate loosely defined technical problems across domains and deliver working solutions • Passion for infrastructure, automation, and efficiency gains • Curiosity about build, verification, tooling, and infrastructure systems • Practical experience applying AI tools to engineering workflows • Experience defining and using engineering metrics • Experience providing ASIC IP for several products, projects, or SoCs simultaneously
• Equity • Benefits • Access to innovative AI efficiency tools • Inclusive and supportive work environment
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