Senior Staff AI Engineer, Finance

Nvidia

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$200,000–$322,000 / yr
Employment
Full-time
Posted
4 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $212k
This role $261k
$157k $340k
below market most similar roles pay here above market

This role pays more than 84% of similar roles. Most pay $177,137–$247,500 — the blue band above. At the midpoint, this role pays about $261k versus about $212k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1763 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1151 roles with salary data.

Most-posted roles

View all roles at Nvidia

At a glance

TL;DR · Senior Staff AI Engineer, Finance

The Senior Staff AI Engineer – Finance will join the Finance AI team to design, build, evaluate, and operate AI-powered applications, agents, and automation. This applied engineering role involves building on top of foundation models, directing a fleet of coding agents, and identifying where customized Nemotron models outperform prompting and retrieval. Key responsibilities include developing end-to-end agentic systems, setting architectural patterns, mentoring engineers, and partnering with model teams to fine-tune and post-train models for specific finance use cases. The role requires expertise in Python, LLM/agent systems, retrieval techniques, and agent orchestration frameworks. Candidates must demonstrate skills in designing evaluations, observability, and adversarial software engineering while addressing LLM security and safety risks to solve complex business problems within the finance domain.

What does a AI Engineer earn in California?

Median $246150 from 104 postings across 18 companies.

See salary data

What you'll do

  • Design, build, evaluate, and operate AI-powered applications, agents, and automation for Finance.
  • Develop and own agentic systems end-to-end from initial scoping to production reliability.
  • Set the architecture, shared primitives, and quality bars for AI engineering projects.
  • Test and evaluate new models, agent frameworks, retrieval techniques, and emerging tools.
  • Run hands-on experiments to provide clear build/no-build recommendations for the team.
  • Partner with the model team to fine-tune and post-train Nemotron models for finance use cases.
  • Mentor engineers and represent AI engineering interests to Finance and NVIDIA leadership.

What we're looking for

  • Master's or PhD in computer science, engineering, data science, or a related technical field (or equivalent experience).
  • 12+ years of experience building and operating production systems.
  • 3+ years of experience with LLM/agent systems.
  • Proven track record as a core technical contributor shipping and owning multiple LLM-powered applications or agents in production.
  • Hands-on experience with skill-based workflows, harnesses, and agent orchestration frameworks.
  • Expertise in advanced retrieval techniques and designing evaluations and observability for LLM systems.
  • Strong Python skills and solid engineering fundamentals, including networks, operating systems, and LLM security/safety risks.
  • Experience with NVIDIA's applied AI stack, large tech/finance experience, or depth in fine-tuning and reinforcement learning (preferred).

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