NVIDIA seeks a Senior Data Engineer for the Vertical Verification Group. You will help build and improve data-driven systems that support complex networking verification and optimize advanced protocol algorithms for NVIDIA's Data Center environments. Collaborate with architects, developers, and network engineers across software, networking, and infrastructure layers to achieve outstanding results. This is an outstanding opportunity to contribute to groundbreaking projects in a strictly innovative environment!
What you’ll be doing:Build, implement, and optimize database architectures and data pipelines
Develop backend services that efficiently interact with external data systems
Improve performance, scalability, and reliability of data storage and retrieval systems
Troubleshoot complex issues in distributed data environments
Contribute to system observability, monitoring, and automation
B.Sc. in Computer Science, Engineering, or a related field (or equivalent experience)
5+ years of software engineering experience with a focus on databases
Strong experience with SQL and/or NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis, etc.)
Understanding of data modeling, indexing, and query optimization
Experience working with decentralized systems and extensive data frameworks
Proficiency in Python, Java, Go, or similar languages
Experience working in Linux environments
Strong analytical and problem-solving skills
Experience with networking concepts and protocols
Hands-on experience with distributed databases or systems managing substantial volumes of data
Familiarity with data streaming technologies (e.g., Kafka)
Experience with cloud-native data platforms and containerized environments
Skills Required
- B.Sc. in Computer Science, Engineering, or related field
- 5+ years of software engineering experience with a focus on databases
- Strong experience with SQL and/or NoSQL databases
- Proficiency in Python, Java, Go or similar languages
- Experience working in Linux environments
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.”
