Senior Software Engineer, Unified Access Management Platform

NVIDIA
Santa Clara
Workplace: RemoteFull timeUSD 152,000 - 287,500 annuallyFunction: Software EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["Team collaboration","Mentoring","Knowledge sharing"]

Build and operate NVIDIA Cloud’s foundational Identity and Access Management services through the Unified Access Management (UAM) platform. Lead initiatives for new UAM features and integrations, own end-to-end design, coding, and production rollouts, and partner with service teams to drive delivery of key organizational objectives. Participate in on-call support and help ensure secure, scalable access control across NVIDIA cloud services.

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FursaFursa
NVIDIA
NVIDIA
3 days ago

Senior Software Engineer, Unified Access Management Platform

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Source: Company careers pageValidated by: Fursa AI
Last checked: 22 hours agoStatus: Live

Job Summary

Build and operate NVIDIA Cloud’s foundational Identity and Access Management services through the Unified Access Management (UAM) platform. Lead initiatives for new UAM features and integrations, own end-to-end design, coding, and production rollouts, and partner with service teams to drive delivery of key organizational objectives. Participate in on-call support and help ensure secure, scalable access control across NVIDIA cloud services.
Location: Santa Clara
Workplace: Remote
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Introduce innovative features and integrations on the UAM platform.
  • •Collaborate with diverse service teams to deliver critical organizational objectives.
  • •Own end-to-end design, coding, and production rollout of UAM features and integrations across NVIDIA cloud services.
  • •Ensure successful integration and adoption of UAM with other cloud services.
  • •Participate in on-call support schedules for after-hours service support.

Pay and Benefits

Salary: USD 152,000 - 287,500 annually
Equity and Bonus:Equity

Key Requirements

  • •BS or MS in Computer Science, Electrical Engineering, Computer Engineering, or related field (or equivalent experience).
  • •5+ years of proven experience in deep learning, machine learning, computer vision, or applied AI.
  • •Experience building cloud services at scale (millions of transactions, low latency, high availability).
  • •Expert-level knowledge of AWS Cloud, Kubernetes (k8s), and the GitOps model.
  • •Understanding of authorization strategies including ACL, RBAC, and ABAC, with a team-player mindset who mentors others.
Experience:5+ yearsDeep learningMachine learningComputer visionApplied AIIdentity and Access ManagementCloud-nativeCloud at scale
Education:Bachelor's
Skills:Team collaborationMentoringKnowledge sharing
Tech Stack:AWSKubernetesK8sGitOpsACLRBACABACCNCFGCPAzureOCIAWS LambdaGoogle Cloud FunctionsAzure FunctionsCodexClaudeCloud native

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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