3 days ago
Base Salary
$224k - $357k/yr
Responsibilities
- Develop agentic workflows that automate code generation, testing, tuning, and compiler optimization.
- Build multi-agent orchestration and LLM-native tooling using frameworks such as LangChain and LangGraph.
- Integrate agents into Git-native workflows and CI pipelines so they can build, test, and iterate against real GPUs.
- Partner directly with internal engineering teams to identify high-impact workflow friction and translate requirements into scalable infrastructure.
- Validate and revise technical plans through proof points as early-adopter teams integrate agents into production.
- Build reusable agentic methodologies, tools, or frameworks that help engineering teams adopt effective workflows.
- Lead technical work through changing requirements and make evidence-based architectural decisions.
Requirements
- Master’s degree in Computer Science, Engineering, or equivalent experience.
- 12+ years of professional experience.
- Strong Python development skills.
- Working knowledge of GPUs or other highly data-parallel systems.
- Demonstrated projects or work experience using and supporting AI systems.
- Experience shipping complex projects with minimal direction and appropriately raising challenges or syncing with stakeholders.
- Experience building tools or systems shaped by direct partnership with internal customer or user teams.
- Experience leading technical work through changing requirements and revising direction based on evidence.
- Experience in one or more of multi-agent orchestration or LLM-based workflow automation, compiler infrastructure or program transformation, autonomous search or high-dimensional optimization, hardware-aware deep learning performance optimization, code generation systems, or domain-specific languages.
- Preferred experience with ML or multi-agent evaluation and testing harnesses, internal engineering tools or frameworks, emerging ML hardware, or kernel programming techniques.
Benefits
- Eligible for equity and benefits.
- Base salary range of 224,000 USD to 356,500 USD, determined by location, experience, and comparable employee pay.
- Applications 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.