
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.
🕒 February 24
🏄 California, Texas, +1 more states – Remote
💵 $152k - $241.5k / year
⏰ Full Time
🟠 Senior
🤖 AI Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 36%
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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.
• Analyzing deep learning networks and developing compiler optimization algorithms • Collaborating with members of the deep learning software framework teams and the GPU architecture teams to accelerate the next generation of deep learning software • Defining public APIs, performance optimizations and analysis, crafting and implementing compiler techniques for AI workloads and future NVIDIA GPUs
• Bachelor’s, Master’s or Ph.D. in Computer Science, Computer Engineering, related field or equivalent experience • 3+ years of relevant work or research experience in performance analysis and compiler optimizations • Experience with compiler technologies (e.g., MLIR, LLVM, XLA, Triton, etc.) • Excellent C/C++ and Python programming and software design skills, including debugging, performance analysis, and test design • Ability to work independently, define project goals and scope, and lead your own development efforts • Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team.
• Competitive salaries • Generous benefits package • Equity
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