Job Summary:
NVIDIA has been transforming computer graphics and accelerated computing for over 25 years. They are hiring a Senior Staff Engineer to design and build automation systems for the SaaS application lifecycle, improving employee productivity and integrating various enterprise platforms.
Responsibilities:
• 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.
Qualifications:
Required:
• 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.
Preferred:
• 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).
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.