Financial Analyst Intern, Hardware FP&A
NVIDIA
This job at a glance
- Who can apply
- New grads and up to 27 years · Bachelor's degree
- Must know
- OperationsFinancial analysisBudgetingData visualizationFinancial modelingBusiness analysis
- Work
- On-site in Santa Clara · internship
- Pay
- Not stated by the employer.
- Skill demand
- Financial analysis72%Budgeting68%Operations48%Data visualization20%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 11, 2026 · still open
Sign in free to see which of these skills your resume already shows.
About the Role
NVIDIA is seeking an energetic Finance Intern to join our Hardware Engineering FP&A team at NVIDIA headquarters. This role involves partnering closely with engineering and operations teams to analyze inventory, build demand models, and provide visibility into program economics that influence strategic decisions. The role requires an individual who will thrive in an ambiguous environment and make a big impact. You should have a passion for supporting data-based decisions, constantly look for areas of improvement, and implement automation to reduce manual workload to focus on delivering insights to the business. Proficiency with AI tools and agents to improve efficiency and the quality of your work is expected.
Key Responsibilities
- Support financial analysis, reporting, inventory modeling, and forecasting for engineering programs.
- Build and maintain models that provide visibility into R&D materials planning and investment drivers.
- Analyze inventory trends and identify optimization opportunities across OPEX and CAPEX.
- Collaborate with cross-functional teams to build financial models and dashboards that scale across multiple programs.
- Leverage AI tools and agents to drive process improvements and automation to increase efficiency and accuracy.
- Prepare management reporting packages that deliver clear, actionable insights to leadership.
Requirements & Tech Stack
- Pursuing Bachelor’s degree in Finance, Economics, Data Science or related quantitative field.
- Advanced proficiency in Excel with the ability to build, question, and improve complex financial models and cost projections.
- Ability to synthesize large datasets using tools like SQL, Databricks, or Power BI to integrate cost insights into executive-level reporting.
- Experience using AI tools and agents.
Ways To Stand Out
- Experience or coursework in cost accounting, Bill of Materials (BOM) analysis, inventory valuation, or database management.
- Leadership experience in academic or extracurricular activities.
- Knowledge of Nvidia products, Artificial Intelligence market, and genuine curiosity in STEM.