We are in search of a top-tier AI Agents applied researcher to work closely with hardware architects and software developers to develop end-to-end agentic systems that drive significant enhancements in NVIDIA's products. Our team propels generative AI forward by building and deploying agentic systems that integrate innovative LLMs with domain tools to expedite HW and SW engineering workflows at scale.
What You'll Be Doing:
Build complex agentic systems featuring multi-agent coordination, long-horizon reasoning, and advanced planning frameworks.
Develop full-scale solutions, including domain-specific enterprise agents and high-performance retrieval pipelines (RAG) spanning various data sources.
Develop innovative AI flows to improve hardware and software through collaboration with various engineering roles.
Collaborate with SME's to transform rules of thumb into specific assignments, resources, cues, and guidelines. Define success measures, evaluation data, and feedback loops for agents to make a measurable difference in NVIDIA's HW and SW products.
Set up evaluation backbone using offline golden sets and online telemetry for confident iterations, cost control, and safe improvements.
What We Need To See:
BSc/MSc in CS/CE or related field (or equivalent experience)
10+ years in applied ML/AI or large-scale systems, with 3+ years crafting agentic or LLM-powered applications in production environments.
Proficient in Python; skilled in agentic frameworks, tool use, RAG pipelines, and model adaptation.
Excellence in communication and facilitation: aligning diverse collaborators, documenting decisions/assumptions, and influencing without authority.
Proactive, independent, possessing strong analytical and problem-solving abilities; adept at handling uncertainty to provide practical, gradual benefits.
Ways To Stand Out From The Crowd:
Strong software development experience
Experience with data processing and storage (e.g. SQL databases, NoSQL databases).
Networking background, with knowledge of network architectures and networking concepts
At the intersection of cutting-edge innovation and global impact, we have cultivated an environment where the world's most brilliant minds thrive. We offer industry-leading compensation and a culture built on excellence. If you are a high-impact applied researcher who lives for complex problem-solving and technical mastery, you belong here.
We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation
Skills Required
- BSc/MSc in CS/CE or related field
- 10+ years in applied ML/AI or large-scale systems
- 3+ years crafting agentic or LLM-powered applications in production environments
- Proficient in Python
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
