Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in an inclusive, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are looking for a Senior Staff AI Engineer to join the Finance AI team at NVIDIA. In this role, you'll design, build, evaluate, and operate the AI-powered applications, agents, and automation that Finance runs on. You'll direct your own fleet of coding agents, onboard exciting new tools and technologies, and leverage deep business knowledge to point the right technology at the right problem. This is primarily an applied engineering role — building on top of foundation models — with opportunities to identify and showcase where customized Nemotron models beat prompting and retrieval. What you’ll be doing: • Develop and own agentic systems end to end — from scoping the problem with finance partners through the eval harness, retrieval quality, and cost that keep them reliable in production. • Set the architecture, shared primitives, patterns, and quality bars others build on — mentoring engineers and representing AI engineering to Finance and NVIDIA leadership. • Stay at the frontier of applied AI: test new models, agent frameworks, retrieval techniques, and tooling as they emerge. Run hands-on experiments and turn what you learn into clear build/no-build calls. • Partner with the model team to leverage, fine-tune, and post-train NVIDIA's Nemotron models for finance use cases. What we need to see: • Master's or PhD (or equivalent experience) in computer science, engineering, data science, or a related technical field. • 12+ years building and operating production systems including 3+ years with LLM/agent systems. • A track record as a core technical contributor, shipping multiple LLM-powered applications or agents and owning them in production. • Hands-on experience with skill-based workflows, harnesses, agent orchestration frameworks. • Expertise with advanced retrieval techniques plus deep, hands-on expertise designing evaluations and observability for LLM systems. • Strong Python and solid engineering fundamentals, extensive experience with agentic and adversarial software engineering, an understanding of LLM security and safety risks, and a practical understanding of networks and operating systems. Ways to stand out from the crowd: • Technical influence without authority — able to align engineers and business leaders on hard calls and set direction across teams you don't manage. • Experience with NVIDIA's applied AI stack, plus recognized expertise in applied AI such as conference talks, open-source contributions, or published work. • Large tech company and / or finance-adjacent experience. • Depth across fine-tuning and reinforcement learning techniques. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 30, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Requirements

Must-haves

Develop and own agentic systems end to end — from scoping the problem with finance partners through the eval harness, retrieval quality, and cost that keep them reliable in production.
Set the architecture, shared primitives, patterns, and quality bars others build on — mentoring engineers and representing AI engineering to Finance and NVIDIA leadership.
Stay at the frontier of applied AI: test new models, agent frameworks, retrieval techniques, and tooling as they emerge. Run hands-on experiments and turn what you learn into clear build/no-build calls.
Partner with the model team to leverage, fine-tune, and post-train NVIDIA's Nemotron models for finance use cases.
Master's or PhD (or equivalent experience) in computer science, engineering, data science, or a related technical field.
12+ years building and operating production systems including 3+ years with LLM/agent systems.
A track record as a core technical contributor, shipping multiple LLM-powered applications or agents and owning them in production.
Hands-on experience with skill-based workflows, harnesses, agent orchestration frameworks.
Expertise with advanced retrieval techniques plus deep, hands-on expertise designing evaluations and observability for LLM systems.
Technical influence without authority — able to align engineers and business leaders on hard calls and set direction across teams you don't manage.
Experience with NVIDIA's applied AI stack, plus recognized expertise in applied AI such as conference talks, open-source contributions, or published work.
Large tech company and / or finance-adjacent experience.
Depth across fine-tuning and reinforcement learning techniques.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until October 30, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aillmpython

Platform: eightfold
Effort: medium

Benefits

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