3 days ago
Base Salary
$152k - $288k/yr
Responsibilities
- Partner directly with internal engineering teams to identify high-impact opportunities for agentic workflows.
- Build multi-agent orchestration and LLM-based systems that autonomously apply changes, validate results, and iterate.
- Develop agentic workflows for code generation, testing, tuning, compiler infrastructure, and high-dimensional optimization.
- Integrate agent systems into Git-native workflows and CI pipelines targeting real GPUs.
- Translate evolving requirements into durable, scalable infrastructure and revise technical direction based on evidence.
- Share reusable agentic engineering methods across NVIDIA and lead complex technical work with minimal direction.
Requirements
- Master’s degree in Computer Science, Engineering, or equivalent experience.
- At least 5 years of experience.
- Strong Python development skills and working knowledge of GPUs or other highly data-parallel systems.
- Demonstrated experience using and supporting AI systems.
- Experience shipping complex projects with minimal direction and partnering directly with internal customer or user teams.
- Experience with one or more of multi-agent orchestration frameworks, LLM workflow automation, compiler infrastructure, intermediate representations, program transformation, autonomous optimization, hardware-aware deep learning performance, code generation systems, or domain-specific languages.
- Experience building evaluation or testing harnesses, internal tools, or frameworks is advantageous.
Benefits
- Equity and benefits are provided.
- Base salary depends on location, experience, and comparable employee pay, with stated ranges for Level 3 and Level 4.
- Applications are accepted at least until October 16, 2026.
Categories
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.