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 Solutions Architect to join the Finance AI & Data team at NVIDIA! In this role, you'll act as the bridge between finance and engineering: translating business needs into technical specifications, designing end-to-end solutions, and making sure each one fits and scales within NVIDIA's broader technology landscape. You'll articulate finance's requirements to product teams and co-develop partner solutions that solve measurable business problems. Does this opportunity sound interesting? If so, we'd love to hear from you!
What you'll be doing:
- We seek someone that deeply understands the challenges of the CFO org and map them to the right Nvidian technologies that will solve them.
- Determine how AI, systems, tools, and data compose into a working whole, proactively raising gaps between what business needs and what the technology can do.
- Partner constantly across finance, IT, data, security, and NVIDIA's product and engineering teams.
- Debate data flows and AI harnesses with engineers, help finance leaders articulate workable and scalable designs, and find the solution that gets the job done.
- Understand the high- and low-level architecture of projects spanning AI, ML, data engineering, automation, application, ERP, compliance, and security.
What we need to see:
- A strong understanding of finance and accounting processes and data—FP&A, close, reporting, and controls.
- BS/MS or equivalent experience in Business Analytics, Data Science, Economics, Computer Science, or Finance.
- 5+ years of experience using technology to solve business problems, including at least 2 years in a technical or technical-adjacent role.
- Excellent communication and organizational skills.
Ways to stand out from the crowd:
- Hands-on experience building technical solutions, plus literacy in data modeling and data architecture. An intuitive understanding of where projects fail that lets you guide others around those points.
- Experience in corporate or strategic finance or accounting roles or adjacent areas.
- A track record of leading projects or workstreams and managing across both business and technical groups.
- An enthusiastic early adopter of the latest AI technology – and a realist about expectations. You’ve tried it, you’ve played with it, and you know if it fills an important space in your tool box.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 230,000 USD.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- Strong understanding of finance and accounting processes and data, including FP&A, financial close, reporting, and controls
- Bachelor's or master's degree, or equivalent experience, in Business Analytics, Data Science, Economics, Computer Science, or Finance
- At least 5 years of experience using technology to solve business problems
- At least 2 years of experience in a technical or technical-adjacent role
- Excellent communication and organizational skills
- Hands-on experience building technical solutions and literacy in data modeling and data architecture
- Experience in corporate or strategic finance, accounting, or adjacent areas
- Track record of leading projects or workstreams across business and technical groups
- Experience adopting and evaluating current AI technologies
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.”
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