
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.
🕒 May 16
🏄 California, Oregon – Remote
💵 $168k - $322k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack 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.
• Design and build performance analysis tools and workflows for AI training and inference workloads • Understand how AI performance engineers work and translate their needs into scalable, intuitive tooling • Develop integrations between profiling infrastructure and AI frameworks and workflows • Collaborate with performance engineers, hardware architects, and software teams to ensure profiling capabilities align with real-world AI workloads • Identify performance bottlenecks in AI workloads and develop automated approaches to detect and diagnose them
• M.S., or PhD in Computer Science, Computer Engineering, or a related field (or equivalent experience) • 6+ years of relevant work experience • Deep knowledge of AI workloads, frameworks, and performance characteristics • Experience building tools, workflows, or infrastructure used by other engineers • Strong software development skills (Python, C++ preferred) • Ability to translate user requirements into scalable tooling solutions • Up to date with AI-enabled tooling for software development and performance analysis • Strong interpersonal skills for understanding engineer difficulties and working across multi-functional teams
• equity • benefits
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