Senior Software Engineer, Identity and Security - Profiling Services

Posted Yesterday
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2 Locations
In-Office
152K-242K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design and implement identity, authorization, and service-trust controls for a collaborative cloud profiling service. Strengthen credential handling, auditing, isolation, and operational resilience; build secure, reproducible infrastructure and delivery practices. Partner with engineering and security teams to translate requirements into practical controls, improve release safety and recovery, and establish signals for incident response and ongoing improvement.
Summary Generated by Built In

NVIDIA's Developer Tools team is seeking a Senior Software Engineer to strengthen identity, security, and reliability for profiling services. Performance data can contain sensitive technical and operational information that requires thoughtful protection. This role turns security requirements into practical controls and dependable operating practices. You will partner across engineering and security teams to deliver solutions that users and operators can trust.

What you’ll be doing:

  • Design and build identity, authorization, and service-trust capabilities for a collaborative cloud application.

  • Translate security and access requirements into controls that are practical for users and product teams.

  • Strengthen credential handling, auditing, isolation, and protection of sensitive performance data.

  • Build secure, reproducible infrastructure and delivery practices for supported environments.

  • Improve release safety, recovery, and operational resilience for services and persistent data.

  • Establish useful security and reliability signals for incident response, resource management, and ongoing improvement.

  • Partner with engineering and security teams to identify risks, validate controls, and address failures before release.

What we need to see:

  • BS or MS in Computer Science, Information Security, or a related field, or equivalent experience.

  • 5+ years of experience building and operating production identity, security, platform, infrastructure, or reliability systems.

  • Candidates should have deep expertise in identity and authorization systems or secure platform engineering and production reliability. Ability in adjacent fields is encouraged, but expertise in all areas is not required.

  • Practical experience implementing trusted sign-in, browser and service credentials, and resource authorization using standards such as OAuth 2.0 or OpenID Connect.

  • Working knowledge of securely configuring, deploying, and operating containerized services through automation.

  • Strong software engineering ability in at least one service or automation language, including maintainable code, tests, and production diagnostics.

  • Sound threat-modeling and distributed-systems judgment demonstrated through service trust, isolation, partial failure, credential handling, or abuse-resistance decisions.

  • A record of defining a bounded MVP under ambiguity, collaborating across organizational boundaries, and turning architecture into an operated production capability.

Ways to stand out from the crowd:

  • Experience implementing workload identity, token exchange, delegated access, mutual TLS, policy-based authorization, or authorization-aware caching.

  • Experience securing or operating real-time connections and shared state across multiple service instances.

  • Hands-on work building telemetry and operating containerized services with cloud-native tooling.

  • Experience implementing audit, retention, export, deletion, privacy, or compliance controls for sensitive technical data.

  • Practical coding skills in Python, C++, or Rust, encompassing the capability to write, review, and direct production-quality infrastructure software. Experience with Rust is highly valued.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 1, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Skills Required

  • BS or MS in Computer Science, Information Security, or related field, or equivalent experience.
  • 5+ years building and operating production identity, security, platform, infrastructure, or reliability systems.
  • Deep expertise in identity and authorization systems or secure platform engineering and production reliability.
  • Practical experience implementing trusted sign-in, browser and service credentials, and resource authorization using standards such as OAuth 2.0 or OpenID Connect.
  • Working knowledge of securely configuring, deploying, and operating containerized services through automation.
  • Strong software engineering ability in at least one service or automation language, including maintainable code, tests, and production diagnostics.
  • Sound threat-modeling and distributed-systems judgment demonstrated through service trust, isolation, partial failure, credential handling, or abuse-resistance decisions.
  • Record of defining a bounded MVP under ambiguity, collaborating across organizational boundaries, and turning architecture into an operated production capability.
  • Experience implementing workload identity, token exchange, delegated access, mutual TLS, policy-based authorization, or authorization-aware caching.
  • Experience securing or operating real-time connections and shared state across multiple service instances.
  • Hands-on work building telemetry and operating containerized services with cloud-native tooling.
  • Experience implementing audit, retention, export, deletion, privacy, or compliance controls for sensitive technical data.
  • Practical coding skills in Python, C++, or Rust; experience with Rust highly valued.

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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