Senior Staff Software Engineer

NVIDIA•Santa Clara, CA

21h•Onsite

About The Position

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.

Requirements

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.
Strong 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.
Strong 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.
Strong security awareness, including authentication and data compliance.

Nice To Haves

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.
Strong understanding of observability and performance profiling tools for complex data systems.
Experience in building platforms that directly support AI/ML research and production deployment.

Responsibilities

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.