6 days ago
Base Salary
$152k - $242k/yr
Responsibilities
- Design, build, and optimize agentic AI systems for the CUDA ecosystem.
- Co-design agentic system solutions with software, hardware, and algorithm teams.
- Develop reproducible evaluation frameworks covering performance, quality, and developer productivity.
- Collaborate across hardware, compilers and toolchains, kernels and libraries, frameworks, distributed training, inference and serving, and model and agent teams.
- Develop agent abstractions, GPU-centric runtimes, and compiler- or runtime-driven solutions for agent workloads.
Requirements
- Bachelor’s degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience; an MS or PhD is preferred.
- At least 3 years of industry or academic experience developing AI systems.
- Experience with foundational models, agents or orchestration frameworks, deep learning frameworks, and modern inference stacks.
- Strong C/C++ and Python programming skills with solid software engineering fundamentals.
- Experience with GPU programming and performance optimization using CUDA or an equivalent.
- Preferred qualifications include deep learning model development and evaluation, coding agents, developer tooling, high-performance model deployment, GPU optimization, publications, and open-source leadership.
Benefits
- Competitive salary, equity, and a generous benefits package.
- Inclusive and supportive work environment at NVIDIA.
- Applications are accepted at least until September 1, 2026.
Categories
About Nvidia
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.