NVIDIA has been reinventing computer graphics, PC gaming, and accelerated computing for 30 years. It is a unique legacy of innovation that’s motivated by great technology and outstanding people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. We are seeking an experienced Senior FinOps Engineer to join our Cloud Cost Management team. In this role, you will be responsible for optimizing cloud costs across multiple Cloud Service Providers (CSPs) and driving financial accountability throughout our organization.
What you will be doing:
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Lead cloud cost optimization initiatives across AWS, OCI, Azure, and GCP platforms
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Develop and implement FinOps strategies to reduce cloud spend without sacrificing performance or reliability
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Collaborate with engineering, finance, and product teams to drive cost-efficient cloud usage
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Implement and lead cost allocation and chargeback mechanisms for multi-cloud environments
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Increase awareness of cloud costs through sophisticated reporting and dashboards
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Promote a cost-conscious culture by providing education on FinOps principles and standard methodologies to teams.
What we need to see:
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BS/MS/PhD in Computer Engineering, Computer Science or equivalent experience.
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8+ years of proven experience in cloud engineering or FinOps related roles.
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Deep understanding of cloud cost management and FinOps principles
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Proficiency in redefining raw costs to actionable insights for users, often in combination with other data sets
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Experience with cloud cost management tools
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Excellent interpersonal skills to collaborate with both technical and non-technical collaborators
Ways to stand out from the crowd:
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Deep understanding of cloud cost management and FinOps principles across multiple CSPs
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Experience with data analytics and observability tools (e.g., Databricks, Spark, SQL, Power BI, Grafana)
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Expertise in managing cloud resources, including provisioning, configuration, and monitoring & Certifications in major cloud platforms (AWS, Azure, GCP, OCI
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Bringing to bear Artificial Intelligence for Improved Forecasting and Enhanced Comprehension of Insights
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Strategies for leading commitment-based discounts effectively
The base salary range is 128,000 USD - 287,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
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, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Top Skills
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.”
