NVIDIA

Technology

SeniorStaffEngineer,EnterpriseSaaSPlatformandAutomation

$168–322k Santa Clara, California, United States FULL TIME
The Brief

“Senior Staff Engineer, Enterprise SaaS Platform and Automation at NVIDIA. Skills: SaaS Platform Engineering, Automation, Agentic Systems, AI Integration. Design and build agentic systems. Automate SaaS application lifecycle”

What You'll Achieve.

Eliminate manual processes; Reduce human intervention; Improve employee experience at scale; Automate data flows; Automate contract triggers; Automate operational touchpoints; Surface insights; Automate decisions; Enable employees to get more done with less friction; Give team and leadership real-time visibility; Ensure automated workflows meet enterprise build guardrails

Industry & Context.

Technology
Problems you'll solve

Systems thinking; Anticipate failure modes

What They're Looking For.

Must Have

Bachelor's or Master's degree in Computer Science, Computer Engineering, or related field (or equivalent experience), 8+ years of engineering experience, Software engineering fundamentals, Hands-on experience with AI/ML frameworks, LLMs, or agentic systems, Deep familiarity with enterprise SaaS platforms, Systems thinking

Nice to Have

Experience building MCP servers, AI agents, or LLM-powered workflows, Track record of measurably reducing manual IT or operations work through automation, Experience with SaaS vendor management, contract integrations, or procurement automation, Passion for employee productivity, Knowledge of enterprise security and compliance requirements for SaaS integrations

What You'll Do.

Design and build agentic systems

Automate SaaS application lifecycle

Eliminate manual processes

Architect and implement automation solutions

Define integration patterns

Define engineering standards

Build AI-powered support automation

Reduce human intervention

Improve employee experience

Engineer vendor integration frameworks

Automate contract triggers

Automate operational touchpoints

Develop and deploy MCP-based integrations

Develop AI agent pipelines

Enable employees to get more done

Instrument platforms for observability

Partner with security teams

Partner with compliance teams

Ensure automated workflows meet guardrails

Build guardrails into automation

Establish engineering best practices

Raise the bar for team building

Raise the bar for team operation

How You'll Work.

Team & Collaboration

Partner with security teams; Partner with compliance teams; Mentor engineers

Communication Scope

Translate engineering decisions; Business outcomes

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