NVIDIA

2 months ago

Senior Staff Engineer, Enterprise SaaS Platform and Automation

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Design and build agentic automation for the full SaaS application lifecycle (onboarding, provisioning, support triage, offboarding) across enterprise platforms (Microsoft 365, Slack, Glean). Architect AI-powered support automation, vendor integration frameworks, and MCP-based integrations; build observability and security guardrails; mentor engineers and establish engineering best practices to reduce manual work and improve employee productivity at scale.

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key 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.

Pay and Benefits

Salary: USD 168,000 - 322,000 annually

Key Requirements

•Bachelor's or Master's degree in Computer Science, Computer Engineering, or related field (or equivalent experience)
•8+ years of engineering experience with production-grade automation systems, integrations, or platforms at enterprise scale
•Strong software engineering fundamentals — Python, APIs, event-driven architectures, workflow orchestration
•Hands-on experience with AI/ML frameworks, LLMs, or agentic systems
•Deep familiarity with enterprise SaaS platforms (Microsoft 365, Slack, or similar) and integration patterns

Experience:8+ yearsEnterprise softwareSaaSAIIT automation

Education:Bachelor's in Computer ScienceNot specified

Skills:PythonAPIsEvent-drivenWorkflow orchestrationAI/MLLLMsSaaSMicrosoft 365SlackGlean

Tech Stack:PythonAPIsEvent-driven architecturesWorkflow orchestrationAI/ML frameworksLLMsMicrosoft 365SlackGleanOpenAI CodexClaude

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

2 months ago

Senior Staff Engineer, Enterprise SaaS Platform and Automation

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key 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.

Pay and Benefits

Salary: USD 168,000 - 322,000 annually

Key Requirements

•Bachelor's or Master's degree in Computer Science, Computer Engineering, or related field (or equivalent experience)
•8+ years of engineering experience with production-grade automation systems, integrations, or platforms at enterprise scale
•Strong software engineering fundamentals — Python, APIs, event-driven architectures, workflow orchestration
•Hands-on experience with AI/ML frameworks, LLMs, or agentic systems
•Deep familiarity with enterprise SaaS platforms (Microsoft 365, Slack, or similar) and integration patterns

Experience:8+ yearsEnterprise softwareSaaSAIIT automation

Education:Bachelor's in Computer ScienceNot specified

Skills:PythonAPIsEvent-drivenWorkflow orchestrationAI/MLLLMsSaaSMicrosoft 365SlackGlean

Tech Stack:PythonAPIsEvent-driven architecturesWorkflow orchestrationAI/ML frameworksLLMsMicrosoft 365SlackGleanOpenAI CodexClaude

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor