2 days ago
Base Salary
$152k - $230k/yr
Responsibilities
- Translate finance and CFO organization business needs into technical specifications and scalable end-to-end solutions.
- Map finance challenges to NVIDIA technologies and identify gaps between business requirements and technical capabilities.
- Determine how AI, systems, tools, and data work together in complete solutions.
- Partner with finance, IT, data, security, product, engineering, and external partner teams.
- Debate data flows and AI harnesses with engineers and help finance leaders develop workable designs.
- Provide architecture guidance across AI, machine learning, data engineering, automation, applications, ERP, compliance, and security.
- Lead projects or workstreams across business and technical groups.
Requirements
- Strong understanding of finance and accounting processes and data, including FP&A, close, reporting, and controls.
- BS/MS 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, including at least 2 years in a technical or technical-adjacent role.
- Excellent communication and organizational skills.
- Preferred: hands-on experience building technical solutions and literacy in data modeling and data architecture.
- Preferred: experience in corporate or strategic finance, accounting, or adjacent areas.
- Preferred: track record of leading projects or workstreams across business and technical groups.
- Preferred: practical experience with and enthusiasm for emerging AI technologies.
Benefits
- Competitive salary, equity, and comprehensive benefits package.
- Benefits are available for the employee and family through NVIDIA’s benefits program.
- Base salary range is 152,000 USD - 230,000 USD.
- Applications accepted at least until October 2, 2026.
Categories
Solutions Engineering
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.