
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.
🔥 4 minutes ago
🏄 California, New York, +2 more states – Remote
💵 $152k - $287.5k / 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.
• Lead the design, development, and roadmap of AI-Perf, defining benchmarking methodologies, performance metrics, and reproducible experimental workflows • Build scalable and high-performance features to measure latency, throughput, and efficiency across AI models and distributed systems • Partner with AI researchers, platform teams, and engineers to translate experimental challenges into robust, user-friendly performance tooling • Integrate AI-Perf with the Dynamo Inference Stack, other NVIDIA inference stacks, and open-source inference frameworks, delivering end-to-end performance insights for researchers and production users
• Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, or related field—or equivalent experience • 3+ years of experience in systems software, distributed performance engineering, or AI infrastructure research • Expert-level Python skills, including profiling, optimization, automation, and debugging of complex systems • Deep knowledge of distributed systems concepts, including scalability, concurrency, fault tolerance, and performance trade-offs
• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development
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