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aimlroles

Senior Staff AI Engineer – Finance

NVIDIA nvidia.com Open · verified Nov 1, 2026
US, CA, Santa Clara Full-time Senior AI Engineering

At a glance

Senior AI Engineering role at NVIDIA. US, CA, Santa Clara · full-time · $200,000–$322,000 base.

SalaryStated by NVIDIA
$200,000 – $322,000
Base salary for this role, in USD per year, as published in the posting.
RoleAI Engineering
SenioritySenior
LocationUS, CA, Santa Clara
EmploymentFull-time
Base pay$200,000–$322,000
PostedOct 30, 2026 · 2d ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Build finance agents from problem definition through evaluation, retrieval tuning and production cost and reliability checks
  • Set reusable architecture and quality standards, mentor engineers and advise Finance and NVIDIA leaders on AI engineering
  • Test emerging models, agent frameworks, retrieval methods and tools, then turn experiments into build decisions
  • Work with the model team to adapt and further train Nemotron models for finance applications

What you bring

  • A master’s or doctoral degree in a technical field, or equivalent experience
  • At least twelve years building and running production systems, including three years with LLM or agent systems
  • A record of shipping multiple LLM applications or agents and remaining accountable for them in production
  • Hands-on skill with agent workflows and orchestration, advanced retrieval, and evaluation and monitoring of LLM systems
  • Strong Python and engineering fundamentals, plus knowledge of LLM security, safety, networks and operating systems

Who this fits

This senior technical role suits an experienced hands-on engineer who can set direction, mentor others and work with Finance partners and leaders. It also calls for practical experimentation with agent systems and close collaboration with the model team.

From the employer

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 other objective job-related factors. The expected base salary range for this position 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 November 3, 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.

Opportunity

AI Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

AI Engineering$200k+

Find me work

By the team behind aimlroles.

Find me work
Opportunity

AI Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind aimlroles.