Nvidia
Nvidia

60 Nvidia Senior Security Engineer Jobs Hiring Near You

Senior Security Engineer

New York, NY · On-site

$125K - $171K/yr

At NVIDIA, we are are redefining the future of computing! From accelerated AI to large scale ... On the Security Platform Engineering team, we focus on building the data foundations that power ...

Senior Software Engineer, Security

Santa Clara, CA · On-site

$134K - $184K/yr

NVIDIA has been transforming computer graphics and accelerated computing for over 25 years. They ... seeking a Senior Software Engineer focused on securing infrastructure and AI cluster systems ...

We are seeking to hire an experienced Senior Manager to join the investing team in Santa Clara, CA ... Leading due diligence in collaboration with NVIDIA product, engineering and research teams

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Collaborate with compiler, runtime, and kernel engineers to improve portability and performance ...

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Nvidia Jobs Information

What is it like to work at Nvidia?

Nvidia is known for its collaborative and innovative culture, prioritizing teamwork and creativity to drive technological advancements. The company's structure is organized into various teams, including research and development, engineering, and sales, with a focus on fostering open communication and knowledge sharing across departments. Working at Nvidia may appeal to candidates who are passionate about artificial intelligence, graphics, and high-performance computing, as the company offers opportunities to contribute to cutting-edge projects and collaborate with experts in the field.
Infographic showing various Senior Security Engineer job openings at Nvidia in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 86% Physical, 12% Hybrid, and 2% Remote job distribution.
Senior Security Engineer

Senior Security Engineer

Nvidia

New York, NY • On-site

$125K - $171K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

At NVIDIA, we are are redefining the future of computing! From accelerated AI to large scale infrastructure, the security of our platforms and data is critical to everything we build. On the Security Platform Engineering team, we focus on building the data foundations that power detection, automation, and AI driven security operations across the company.

How does raw security telemetry become usable intelligence? We build the platform that makes it possible. This role helps design and operate the security data platform that transforms signals from endpoint, identity, network, and cloud environments into standardized, high quality datasets. These datasets power the work of security engineers and researchers across NVIDIA. The role sits at the intersection of security engineering, data engineering, and platform architecture, enabling advanced detection, automation, and analytics across the company!

What you'll be doing:

This role focuses on building and operating the data platform that powers security operations across NVIDIA.

  • Design and operate telemetry ingestion pipelines that collect and process data from endpoint, identity, network, cloud, and other enterprise security sources.

  • Normalize and enrich telemetry into structured datasets using standardized schemas and entity models so signals from different systems can be correlated consistently.

  • Build and maintain data models and graph ready structures that connect users, devices, identities, and activity across the security ecosystem.

  • Provide governed access to security datasets through APIs, query interfaces, and streaming pipelines used by Detection, Automation, AI, and Analytics teams.

  • Define lifecycle and retention strategies across hot, cold, and archive storage tiers to balance performance, scalability, and cost.

  • Work closely with enterprise data engineering and security engineering teams to align on architecture, data fabric strategy, and shared platform capabilities.

  • Maintain clear documentation of data sources, schemas, and entity definitions so teams across NVIDIA can reliably build on the platform.

What we need to see:

  • Bachelor's degree in Computer Science, Engineering, Cybersecurity, Data Engineering, or a related technical field, or equivalent experience.

  • 6+ years of experience designing and operating large scale data pipelines in a security or enterprise data environment.

  • Strong understanding of security telemetry including endpoint, identity, network, cloud, and email data sources.

  • Experience working with modern data platforms and ingestion technologies such as Databricks, Snowflake, Kafka, Spark, Flink, or similar systems.

  • Hands on experience with data normalization frameworks or standards such as OCSF, ECS, or equivalent approaches.

  • Understanding of data access patterns including APIs, query layers, views, and role based access control.

  • Ability to collaborate across teams and clearly document complex data systems for a broad technical audience.

Ways to stand out from the crowd:

  • Experience working with security platforms such as CrowdStrike NG SIEM, Splunk, or Microsoft Sentinel.

  • Familiarity with SIEM data models, detection engineering workflows, and SOAR integrations.

  • Experience with graph databases or entity relationship modeling for security data.

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 27, 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.

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About Nvidia

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NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993