Senior Staff Software Engineer

Nvidia

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $200,000–$322,000 / yr
Posted: 3 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $191k

This role $261k

$136k most similar roles pay here $342k

This role pays more than 95% of similar roles. Most pay $158,262–$223,750 — the shaded band above. At the midpoint, this role pays about $261k versus about $191k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1005 open roles on FindRole.

Listed pay typically runs $168,000–$270,250 across 993 roles with salary data.

Most-posted roles

View all roles at Nvidia

At a glance

TL;DR · Senior Staff Software Engineer

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As a Senior Staff Software Engineer on the Software Infrastructure team in Santa Clara, CA, you will develop high-performance database services and automation frameworks that power NVIDIA’s AI workloads. Your daily tasks include transforming legacy databases into scalable architectures, implementing secure-by-design database services with robust identity management, and building tooling for real-time monitoring and debugging of database performance. You’ll also contribute to architecture guidelines and participate in on-call rotations to maintain critical database services. The ideal candidate has over 12 years of experience in database systems or distributed data platforms, expertise in Python, Go, C++, or Java, and a strong background in query optimization and large-scale performance tuning. Additionally, familiarity with Kubernetes, cloud-native deployment patterns, and AI/ML infrastructure is essential, along with hands-on DevOps experience and security awareness.

Skills

Python Go Kubernetes CI/CD Prometheus Grafana MSSQL Docker C++ Java DevOps AWS PostgreSQL Terraform GraphQL OpenSearch Redis Fluentd NVIDIA_ML_Platforms GitLab_CI/CD

What you'll do

Develop software platforms to modernize legacy database systems into scalable architectures.
Implement secure-by-design database services with advanced identity and access control features.
Run vector and graph databases to manage AI/ML data workloads efficiently.
Create automation frameworks for provisioning, scaling, and failover in CI/CD workflows.
Build real-time monitoring tools for profiling and debugging database performance issues.

What we're looking for

Over 12 years of software engineering experience with 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 and highly available relational database services.
Experience with container orchestration (Kubernetes) and cloud-native database deployment patterns.
Expertise in query optimization, data partitioning, and large-scale performance tuning.
Strong background in DevOps practices including CI/CD, monitoring, alerting, SLAs, and capacity forecasting.
Deep understanding of observability tools for complex data systems and security awareness.

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