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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Staff Software Engineer - **Company:** NVIDIA Ltd. - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $200,000.0 - $322,000.0 - **Contract:** Permanent contract - **Skills:** Legacy Database, Java (Programming Language), Artificial Intelligence, Build Automation, Cloud Engineering, Profiling, Computer Programming, Databases, Continuous Integration, Information Engineering, Data Systems, Relational Databases, Database Development, Software Debugging, DevOps, Distributed Data Store, Distributed Systems, Graph Database, Python (Programming Language), Key Management, Machine Learning, Microsoft SQL Server, Performance Tuning, Query Optimization, Software Deployment, Software Engineering, Software Systems, Database Performance, Kubernetes, Information Technology, Low Latency, Free and Open-Source Software, Database Replication, Machine Learning Operations - **Published:** June 2, 2026 - **Apply:** https://www.careerboard.com/us/en/find-jobs-in-United-States/-22C1822B1F822E8BCE/ ## About the Role * 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. ## Description 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. ## Related Videos - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Profiling Symfony & PHP apps with Blackfire](https://www.wearedevelopers.com/videos/265-profiling-symfony-php-apps-with-blackfire) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Postgres in the Age of AI (and Devin)](https://www.wearedevelopers.com/videos/1042-postgres-in-the-age-of-ai-and-devin) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [Coffee with Developers - Stephen Jones - NVIDIA](https://www.wearedevelopers.com/videos/1303-coffee-with-developers-stephen-jones-nvidia) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai)