Senior High Performance AI Engineer

🕒 September 11

🏄 California, Texas, +1 more states – Remote

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

💵 $152k - $241.5k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

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, including agent architectures, multi-agent workflows, tool use, memory, and orchestration • Build data, environments, verification, reward, and evaluation systems to continuously improve model and agent capabilities • Co-design and optimize agentic systems across NVIDIA's software and hardware stack, from models and inference through compilers, runtimes, libraries, kernels, and GPUs • Collaborate with internal NVIDIA software, model, and hardware teams to bring new capabilities into NVIDIA products

🎯 Requirements

• Bachelor's degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience; MS or PhD preferred • 4+ years of relevant industry or academic experience in AI systems, machine learning, compilers, high-performance computing, or related areas • Hands-on experience in agent systems, coding agents, reinforcement learning, or modern AI inference systems • Strong C/C++, Rust, and Python programming skills • Solid software engineering fundamentals • Experience with GPU programming and performance optimization using CUDA or comparable accelerator platforms • Ability to work effectively across system boundaries • Track record of building high-impact coding agents, autonomous software-engineering systems, or developer tools • Hands-on experience optimizing and deploying with TRT-LLM, SGLang, vLLM, or Transformer Engine • Deep expertise in GPU systems and performance optimization • Publications or open-source leadership in deep learning, agentic AI, reinforcement learning, compilers, high-performance computing, or AI systems

🏖️ Benefits

• Equity • Comprehensive benefits package • Highly competitive salary