Senior Financial Analyst, Hardware Engineering - Fp&a

Nvidia Corporation

Santa Clara, CA, United States
Base: 128,000 usd - 201,250 usd; bonus/equity: eli...
On-site
Ai-enabled tools for analysis
Data visualization dashboards
Financial modeling
NVIDIA is seeking a Senior Financial Analyst for its Hardware Engineering FP&A team in Santa Clara, CA. The ideal candidate will have extensive experience in financial planning and analysis, particularly in R&D and hardware sectors, while leveraging AI tools to enhance financial workflows

Job Summary

  • Support financial planning, budgeting, and forecasting for R&D system development spend, including operating expenses and capital expenditures.
  • Leverage AI‑enabled tools such as Claude, Codex, or Cursor to accelerate financial analysis, automate recurring reporting workflows, and enhance forecast accuracy.
  • Build and deliver dynamic dashboards and management reporting using data visualization tools (e.g., Tableau, Power BI) to provide timely insights into financial performance.

Matching Summary

Match Score: 85

NVIDIA is seeking a Senior Financial Analyst for its Hardware Engineering FP&A team in Santa Clara, CA. The ideal candidate will have extensive experience in financial planning and analysis, particularly in R&D and hardware sectors, while leveraging AI tools to enhance financial workflows.

Salary

Base: 128,000 USD - 201,250 USD; Bonus/Equity: eligible for equity; Benefits: comprehensive benefits package

Skills & Requirements

Must-have

  • AI-enabled tools for analysis
  • Data visualization dashboards
  • Financial modeling
  • R&D and system development spend
  • New Product Introduction (NPI) roadmap

Nice-to-have

  • Intellectual curiosity
  • Interest in science and technology
  • Understanding of market dynamics

Key Requirements

  • 8+ years of progressive experience in FP&A
  • Bachelor’s degree in Finance, Engineering, Data Science, or related
  • Experience using AI-assisted analysis and automation
  • Working knowledge of data center systems, server architecture
  • Proven track record to synthesize large datasets

Work Rights

Not specified

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