Senior High Performance AI Engineer

🕒 May 22

🏄 California, Texas, +1 more states – Remote

🏄 California – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 46%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NVIDIA

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Design, build and optimize agentic AI systems for the CUDA ecosystem • Co-design agentic system solutions with software, hardware and algorithm teams • Influence and adopt new capabilities as they become available • Develop reproducible, high-fidelity evaluation frameworks covering performance, quality and developer productivity • Collaborate across the AI stack, from hardware through compilers/toolchains, kernels/libraries, frameworks, distributed training, and inference/serving • Collaborate with model and agent teams • Push the latest developments into NVIDIA products

🎯 Requirements

• Bachelor’s degree in Computer Science, Electrical Engineering, or related field (or equivalent experience); MS or PhD preferred • 8+ years of industry or academia experience with AI systems development • Exposure to building foundational models, agents or orchestration frameworks • Hands-on experience with deep learning frameworks and modern inference stacks • Strong C/C++ and Python programming skills • Solid software engineering fundamentals • Experience with GPU programming and performance optimization (CUDA or equivalent) • Track record building/evaluating deep learning models, coding agents and developer tooling • Demonstrated ability to optimize and deploy high-performance models, including on resource-constrained platforms • Deep expertise in GPU performance optimizations, evidenced by benchmark wins or published results • Publications or open-source leadership in deep learning, multi-agent systems, reinforcement learning, or AI systems; contributions to widely used repos or standards

🏖️ Benefits

• Competitive salaries • Generous benefits package • Equity