Distinguished Engineer – High Performance AI

🕒 January 16

🏄 California, Texas – Remote

🏄 California – Remote 🤠 Texas – Remote

💵 $320k - $488.8k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 Artificial Intelligence

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NVIDIA

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Set strategy and lead execution for agentic AI systems for the CUDA ecosystem, defining roadmaps and measurable success metrics (performance, quality, reliability, developer productivity). • 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 and help drive architecture and key technical decisions —from hardware through compilers/toolchains, kernels/libraries, frameworks, distributed training, and inference/serving—and with model and research/engineering teams. • Scale impact through leadership: mentor and grow senior technical talent.

🎯 Requirements

• Bachelor’s degree in Computer Science, Electrical Engineering, or related field (or equivalent experience); MS or PhD preferred • 17+ years industry and/or academia experience with AI systems development; strong 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; ability to set engineering standards and review architecture at scale. • Experience with GPU programming and performance optimization (CUDA or equivalent). • Proven track record leading large, cross-team efforts from concept through production, including navigating ambiguity, aligning stakeholders, and delivering measurable outcomes.

🏖️ Benefits

• Competitive salaries and a generous benefits package • Eligible for equity