Senior Software Engineer, Unified Access Management Platform

Nvidia

Confirmed live today High trust

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Work type
On-site
Location
Santa Clara, CA
Employment
Full-time
Posted
81 days ago
Freshness
Confirmed live today

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Similar $188k
$141k $243k
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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Senior Software Engineer, Unified Access Management Platform

The Senior Software Engineer, Unified Access Management Platform joins the team responsible for the coordinated access control platform at NVIDIA. This role involves building and operating foundational services for Identity and Access Management through a policy as code system. You will spearhead initiatives to introduce innovative features, collaborate with diverse service teams, and take ownership of the end-to-end process for designing, coding, and rolling out features to production. Key responsibilities include participating in on-call support and ensuring integration with cloud services. Required skills include expert-level knowledge of AWS Cloud, Kubernetes, and the GitOps model, along with experience in deep learning, machine learning, computer vision, or applied AI. You must understand authorization strategies like ACL, RBAC, and ABAC to solve high-scale, low-latency cloud service problems.

What does a Software Engineer earn in California?

Median $214500 from 1193 postings across 76 companies.

See salary data

What you'll do

  • Spearhead initiatives to introduce innovative features and integrations on the UAM Platform.
  • Design, code, and roll out new features to production for the Unified Access Management Platform.
  • Ensure successful integration and adoption of UAM with other cloud services across NVIDIA.
  • Enhance the scalability and reliability of foundational cloud services.
  • Boost the operational efficiency of foundational cloud services.
  • Participate in on-call support schedules to provide essential after-hours service support.

What we're looking for

  • Possess a BS or MS in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field, or equivalent experience.
  • Demonstrate 5+ years of proven experience in deep learning, machine learning, computer vision, or applied AI.
  • Display experience on cloud services at scale with millions of transactions, low latency, and high availability.
  • Possess verifiable expert-level knowledge of AWS Cloud, Kubernetes (k8s), and the GitOps model.
  • Validate understanding of authorization strategies including ACL, RBAC, and ABAC.
  • Act as a team player who actively mentors others and shares knowledge.
  • General understanding of Cloud Native Computing Foundation (CNCF) projects (preferred).
  • Experience building “function as a service” cloud services such as AWS Lambda, Google Cloud Functions, or Azure Functions (preferred).

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