NVIDIA

Technology

SeniorStaffSoftwareEngineer

$200–391k Santa Clara, California, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Staff Software Engineer at NVIDIA. Skills: database systems, distributed data platforms, GPU-accelerated platforms, AI workloads at scale, Python, Go, C++, Java, Kubernetes, CI/CD. Compose and build software platforms that transform legacy database systems into modern and scalable architectures. Implement secure-by-design database services with enterprise-grade identity, access control, and secrets management”

What You'll Achieve.

ensure flawless operation of critical database services; handle AI/ML data workloads with ultra-low latency

Industry & Context.

Technology
Problems you'll solve

query optimization; data partitioning; large-scale performance tuning; debugging database performance

Eligibility Requirements

on-call rotations

What They're Looking For.

Must Have

BS, MS, or equivalent experience in Computer Science, Software Engineering, Data Engineering, or a related field, 12+ years of software engineering experience with deep expertise in database systems or distributed data platforms, programming skills in Python, Go, C++, or Java, with a track record of building production-grade systems, Proven experience crafting high-performance, high-availability relational database services (MSSQL or equivalent), Experience with container orchestration (Kubernetes) and cloud-native database deployment patterns, background in query optimization, data partitioning, and large-scale performance tuning, Hands-on experience establishing DevOps guidelines, e. g. , CI/CD, monitoring, alerting, SLAs, capacity forecasting, etc., security awareness, including authentication and data compliance

Nice to Have

Open-source contributions in the database, distributed systems, or AI/ML infrastructure space, Expertise in hybrid/multi-region database replication strategies for low-latency AI workloads, understanding of observability and performance profiling tools for complex data systems, Experience in building platforms that directly support AI/ML research and production deployment

What You'll Do.

Compose and build software platforms that transform legacy database systems into modern and scalable architectures

Implement secure-by-design database services with enterprise-grade identity

and secrets management

Run vector & graph database services and query engines to handle AI/ML data workloads with ultra-low latency

Build automation frameworks for provisioning

and failover integrated directly into CI/CD workflows

Build developer-focused tooling for monitoring

and debugging database performance in real time

Contribute to architecture

and guidelines for long-term platform evolution

Participate in on-call rotations to ensure flawless operation of critical database services

How You'll Work.

Team & Collaboration

Contribute to architecture, coding standards, and guidelines for long-term platform evolution

Full Job Description

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 Senior Staff Software Engineer to join our Software Infrastructure team in Santa Clara, CA. This role blends large-scale database transformation with the building and development of GPU-accelerated platforms. You'll develop the software systems, automation frameworks, and high-performance database services that power NVIDIA’s AI workloads at scale. **What you’ll be doing:** * Compose and build software platforms that transform legacy database systems into modern and scalable architectures. * Implement secure-by-design database services with enterprise-grade identity, access control, and secrets management. * Run vector & graph database services and query engines to handle AI/ML data workloads with ultra-low latency. * Build automation frameworks for provisioning, schema evolution, scaling, and failover integrated directly into CI/CD workflows. * Build developer-focused tooling for monitoring, profiling, and debugging database performance in real time. * Contribute to architecture, coding standards, and guidelines for long-term platform evolution. * Participate in on-call rotations to ensure flawless operation of critical database services. **What we need to see:** * BS, MS, or equivalent experience in Computer Science, Software Engineering, Data Engineering, or a

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