Senior Financial Analyst, Hardware Engineering - Fp&a

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA

Senior Financial Analyst for Hardware Engineering FP&A at NVIDIA, focusing on R&D spend, NPI roadmap, and financial planning. The role involves partnering with Engineering and Operations, leveraging AI-enabled tools for analysis and reporting, and identifying optimization opportunities. Requires strong financial modeling, data synthesis, and cross-functional collaboration skills.

What you'd actually do

  1. Support financial planning, budgeting, and forecasting for R&D system development spend, including operating expenses and capital expenditures.
  2. Serve as a core finance partner to Engineering and Operations on the New Product Introduction (NPI) roadmap, owning forecasts for new systems, products, and associated engineering investments.
  3. Leverage AI‑enabled tools such as Claude, Codex, or Cursor to accelerate financial analysis, automate recurring reporting workflows, and enhance forecast accuracy across R&D and system development spend.
  4. Build and deliver dynamic dashboards and management reporting using data visualization tools (e.g., Tableau, Power BI) to provide timely insights into financial performance.
  5. Apply AI‑assisted analytics to identify cost drivers, anomalies, and emerging risks across OPEX, CAPEX, and NRE, translating outputs into clear, executive‑ready insights.

Skills

Required

  • Bachelor’s degree in Finance, Engineering, Data Science, or a related field; MBA or an advanced degree or equivalent experience.
  • 8+ years of progressive experience in FP&A, ideally supporting R&D, hardware, systems, or manufacturing organizations in a global, high‑tech environment.
  • Experience using AI‑assisted analysis and automation to accelerate FP&A workflows to increase throughput and decision velocity in fast paced environments.
  • Strong grounding in financial modeling, including BOM structures, NRE (Non‑Recurring Engineering) investments, and operating expense forecasting.
  • Working knowledge of data center systems, server architecture, and hardware development lifecycles.
  • Proven track record to synthesize large datasets using tools such as SQL, Tableau, or Power BI and translate insights into executive‑level reporting.
  • Demonstrated strength partnering cross‑functionally with Engineering and Operations to align technical roadmaps with financial and governance processes.

Nice to have

  • Experience in semiconductors, hardware, or manufacturing within the technology industry.
  • Intellectual curiosity and a genuine interest in science and technology products and problem‑solving.
  • Strong understanding of technology and market dynamics relevant to NVIDIA’s products and R&D investments.
  • Proven ability to experiment with and scale AI driven finance workflows, including automated variance analysis, narrative generation, or self‑service reporting.

What the JD emphasized

  • Experience using AI-assisted analysis and automation to accelerate FP&A workflows