Staff Site Reliability Engineer - AI Platform Runtime

NVIDIA
Santa Clara
Workplace: HybridFull timeUSD 168,000 - 333,500 annuallyFunction: DevOps, Cloud & InfrastructureExperience: 10+ yearsEducation: bachelorsSkills: ["Problem-solving","Communication","Teamwork","Technical leadership","Ownership","Mentorship"]

Lead SRE technical strategy for large-scale, cross-functional initiatives that improve reliability, scalability, and developer productivity. Design and build resilient distributed systems powering next-generation AI-driven enterprise products. Drive automation and observability improvements using metrics and analytics, and collaborate across Cloud, Platform, Security, and AI/ML teams to ensure high availability and secure operations. Mentor engineers and champion best practices in incident management and postmortem analysis.

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FursaFursa
NVIDIA
NVIDIA
3 days ago

Staff Site Reliability Engineer - AI Platform Runtime

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Lead SRE technical strategy for large-scale, cross-functional initiatives that improve reliability, scalability, and developer productivity. Design and build resilient distributed systems powering next-generation AI-driven enterprise products. Drive automation and observability improvements using metrics and analytics, and collaborate across Cloud, Platform, Security, and AI/ML teams to ensure high availability and secure operations. Mentor engineers and champion best practices in incident management and postmortem analysis.
Location: Santa Clara
Workplace: Hybrid
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Lead the technical strategy and roadmap for large-scale, cross-functional SRE initiatives to improve reliability, scalability, and developer productivity.
  • •Design and build resilient distributed systems powering next-generation AI-driven enterprise products and services.
  • •Architect and develop AI agents and AI skills to accelerate platform operations.
  • •Drive automation and observability improvements using metrics and analytics to enhance performance, reliability, and efficiency.
  • •Analyze and troubleshoot complex systems, including incident management and postmortem analysis, while mentoring engineers across teams.

Pay and Benefits

Salary: USD 168,000 - 333,500 annually
Equity and Bonus:Equity

Key Requirements

  • •10+ years of experience in Site Reliability Engineering, Platform Engineering, or Cloud Architect roles.
  • •BS in Computer Science or related technical field (or equivalent experience).
  • •Strong proficiency in Python, TypeScript/JavaScript, or Go with automation and infrastructure-as-code focus.
  • •Experience with infrastructure-as-code tools such as AWS CDK, AWS CloudFormation, Terraform, or CrossPlane.
  • •Deep expertise in systems architecture, networking, Kubernetes, and public cloud services (AWS, Azure, or GCP).
Experience:10+ yearsAICloudPlatform engineeringSite reliability engineering
Education:Bachelor's in Computer Science or related technical field
Skills:Problem-solvingCommunicationTeamworkTechnical leadershipOwnershipMentorship
Tech Stack:PythonTypeScriptJavaScriptGoAWS CDKAWS CloudFormationTerraformCrossPlaneOpenTelemetryKubernetesAWSAzureGCPInfrastructure-as-codeAutomationObservabilityMetrics analytics

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
Glassdoor: 4.3
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