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 a diverse, 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 Financial Analyst to support NVIDIA’s Israeli research and development (R&D) organization. As part of NVIDIA’s FP&A organization, you will build strong, collaborative partnerships with R&D Engineering Business Management, NPI and the Finance team to strategically advance NVIDIA’s Israeli R&D activities. As an integral member of the FP&A team, your role will be to support key financial activities, including forecasting and variance analysis - providing the highest standard of informative and practical insights to improve our Company’s financial performance. This is a highly visible position for an energetic professional who thrives in a dynamic, fast-paced environment and has excellent communication skills. The ideal candidate will drive financial modeling and reporting execution, collaborating closely with senior team members and business partners to enable data-driven strategic choices.
What you’ll be doing:
Drive end-to-end financial planning and analysis for Networking product build and bring-up activities, managing annual and quarterly forecasts and variance reviews.
Build strong, collaborative partnerships with Networking HW R&D and NPI teams to provide dedicated financial guidance within a constantly evolving environment.
Work closely with Engineering Business Management (EBM) teams to forecast, track, and analyze high-volume builds and bring-up activities in alignment with the company’s product roadmap.
Review, analyze, and challenge Prototype Build Requests (PBRs) from various R&D groups, working closely with costing team to maintain forecast accuracy and ensure alignment with costing assumptions.
Implement advanced AI tools, automation, and data visualization platforms to enhance baseline financial processes, build scalable reporting dashboards, and optimize business decision-making.
What we need to see:
Bachelor’s degree in Finance, Economics, or a related field.
3–5+ years of experience in Finance, with a focus on business financial planning, analysis, modeling, and forecasting.
Experience supporting an Engineering organization for a global, high-tech corporation is an advantage.
Strong data analytical skills, high attention to detail, a strong ownership ethic, and a driven focus on accuracy and accountability.
Problem solver, comfortable multitasking under tight deadlines and managing complex challenges.
Excellent interpersonal and communication skills.
Strong ability to leverage the latest AI tools to optimize workflows and outputs.
Ways to stand out from the crowd:
Semiconductor and/or hardware manufacturing experience in tech.
Experience partnering with or supporting senior engineering and R&D leadership.
Strong understanding of industry technology and market dynamics related to NVIDIA’s products.
Experience with SAP is a plus.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If the above sounds like a fit to you, please reach out!
NVIDIA is committed to fostering a diverse 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, colour, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Skills Required
- Bachelor's degree in Finance, Economics, or a related field
- 3-5+ years of experience in finance with focus on planning, analysis, modeling, and forecasting
- Experience supporting an Engineering organization at a global high-tech company
- Strong data analytical skills and high attention to detail
- Ownership ethic with strong focus on accuracy and accountability
- Ability to multitask and solve problems under tight deadlines
- Excellent interpersonal and communication skills
- Strong ability to leverage the latest AI tools to optimize workflows and outputs
- Semiconductor and/or hardware manufacturing experience
- Experience partnering with or supporting senior engineering and R&D leadership
- Strong understanding of industry technology and market dynamics related to NVIDIA products
- Experience with SAP
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
