Senior Staff Engineer, Enterprise SaaS Platform and Automation

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.

NVIDIA is hiring a Senior Staff Engineer, Enterprise SaaS Platform & Automation — a role at the inflection point of how enterprise work gets done. NVIDIA IT sits at ground zero of this transformation, with early access to the latest capabilities from Glean, Slack, Microsoft Copilot, OpenAI Codex, Claude, and emerging agentic systems before they reach the broader market. This is not a traditional IT role. We're looking for an engineer who sees manual workflows as   problems to be automated, who builds agentic systems that replace repetitive human work, and who wants to own the engineering behind SaaS onboarding, support automation, vendor integration, and employee productivity tooling across platforms like Microsoft 365, Slack, and Glean.

What you will be doing:

• Design and build agentic systems that automate the full SaaS application lifecycle — onboarding, provisioning, support triage, offboarding — eliminating manual processes across the IT SaaS portfolio.

• Architect and implement automation and integration solutions across Microsoft 365, Slack, Glean, and other enterprise SaaS platforms; define integration patterns and engineering standards for the team.

• Build AI-powered support automation — intelligent triage, self-healing workflows, proactive issue detection — that reduces human intervention and improves employee experience at scale.

• Engineer vendor integration frameworks that automate data flows, contract triggers, and operational touchpoints between NVIDIA systems and SaaS vendors.

• Develop and deploy MCP-based integrations and AI agent pipelines that surface insights, automate decisions, and enable employees to get more done with less friction.

• Instrument platforms for observability — build dashboards, alerts, and analytics that give the team and leadership real-time visibility into SaaS health, adoption, and cost.

• Partner with security and compliance teams to ensure automated workflows meet enterprise standards; build guardrails into automation rather than bolting them on after.

• Mentor engineers and establish engineering best practices — code reviews, runbooks, testing frameworks — that raise the bar for how the team builds and operates.

What we need to see:

• Bachelor's or Master's degree in Computer Science, Computer Engineering, or related field (or equivalent experience).

• 8+ years of engineering experience with a track record of building production-grade automation systems, integrations, or platforms at enterprise scale.

• Strong software engineering fundamentals — Python, APIs, event-driven architectures, workflow orchestration — with the instinct to build rather than configure.

• Hands-on experience with AI/ML frameworks, LLMs, or agentic systems; demonstrated ability to apply AI to real operational problems, not just prototype it.

• Deep familiarity with enterprise SaaS platforms (Microsoft 365, Slack, or similar) and the integration patterns, APIs, and data models that underpin them.

• Strong systems thinking — ability to see the full lifecycle of a problem, design durable solutions, and anticipate failure modes before they happen.

• Clear, direct communicator who can translate engineering decisions into business outcomes for non-technical stakeholders.

Ways to stand out from the crowd:

• Experience building MCP servers, AI agents, or LLM-powered workflows in production environments.

• Track record of measurably reducing manual IT or operations work through automation — quantify it.

• Experience with SaaS vendor management, contract integrations, or procurement automation.

• Passion for employee productivity — you've built tools that real people use every day and you care about the experience.

• Knowledge of enterprise security and compliance requirements for SaaS integrations (OAuth, SCIM, SSO, data residency).

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and passionate people on the planet working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.Applications for this job will be accepted at least until May 25, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.