
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
🇬🇧 United Kingdom – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 AI Engineer
🇬🇧 UK Skilled Worker 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.
• Drive technical innovation through hands-on development focused on kernel generation and computational graph optimizations for next-generation NVIDIA GPUs • Solve complex compilation problems for AI inference and training workloads and transition breakthroughs into enterprise and consumer products • Partner with software, hardware, and research experts to architect and co-design future silicon • Advance and optimize datacenter-scale AI workload deployments
• BS or MS in Computer Science, Computer Engineering, or a related field, or equivalent experience • 3+ years of relevant industry experience specializing in compiler optimizations, synthesis, and placement • Demonstrated, hands-on experience working with MLIR • Exceptional C/C++ and Python programming and software design skills • Rigorous debugging, performance analysis, and test design skills • Strong communication and interpersonal skills with the ability to collaborate effectively in a dynamic, fast-paced, product-oriented environment • Hands-on experience implementing complex AI workloads on CPU, GPU, and/or custom AI accelerator architectures • Deep understanding of Large Language Model inference and its implications on computer architecture • Understanding of designing and architecting comprehensive compiler frameworks from the ground up
• Competitive salaries • Generous benefits package
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