The NVIDIA DGXC Data Services team is developing cloud-native services and tools for managing data in accelerated computing environments across hybrid and multi-cloud infrastructures. We are building the next generation of data and storage infrastructure to address the most challenging problems faced by AI practitioners. These challenges include a) efficiently storing petabytes of data on tiered storage, b) providing security and governance via policies, c) connecting and ingesting data from external sources, and d) accelerating data access to prevent data stalls. Solving these challenges is critical for serving AI workloads, training, and inference jobs. You will craft software services to deliver functionality for NVIDIA's internal platforms and our external-facing cloud infrastructure.
What you will be doing:
Provide technical leadership for architecture and design for the engineering group within the org and outside
Design and build cloud services to manage, serve, and secure data for our accelerated computing initiatives.
Connect with other technical leaders across NVIDIA to ensure you are using existing technologies where possible and that we are collaborating appropriately with their systems.
Collaborate with the NVIDIA research team to utilize storage and compute accelerations, such as GPU Direct Storage and DPU.
Engage with customers internally and externally.
What we need to see:
BS in Computer Science, Information Systems, or Computer Engineering (or equivalent experience) with 15+ years of proven experience
Experience building robust services at scale. Build and maintain high-volume / low-latency data platform services.
Solid foundation in algorithms and data structures and their real-world use cases. Experience with Distributed Systems, Databases, and Big Data systems (Spark, Hadoop).
Experience building and shipping services around Kubernetes, Cloud Native, and Cloud Service Providers
Experience with one of the leading cloud providers: AWS, GCP, or Azure. Experience with backend systems and software engineering
Programming experience in a relevant language, e.g., Go, Rust, Python, C/C++, Java.
Understanding of common approaches to software engineering, software architecture, and design. Experience collaborating with teams to write software to support cloud services. Ability to document software and services. Ability to break down projects into practical tasks.
Communicate design, status, and other sophisticated subjects in written, visual, and oral formats. Ability and passion for working across teams and with collaborators on all sides of the project
Ways to stand out from the crowd:
Hands-on experience in building and managing large-scale data platform services.
Experience building products and services to solve enterprise-grade customer data analytics problems. Experience with Object Storage, Metadata Management, Data lake tools, AI/ ML Infra
Computer science background with Distributed Systems as a specialization
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. Our invention, the GPU, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables incredible creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars. NVIDIA is looking for great people like you to help us accelerate the next wave of artificial intelligence.
The base salary range is 272,000 USD - 425,500 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 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.
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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.”
