Senior Staff Software Engineer

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.

• 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, eg, CI/CD, monitoring, alerting, SLAs, capacity forecasting, etc.
• Strong security awareness, including authentication and data compliance.

Ways to stand out from the crowd:

• 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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD for Level?5, and 248,000 USD - 391,000 USD for Level?6. You will also be eligible for equity and benefits.