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Security Engineer Nvidia Jobs (NOW HIRING)

Sustainable Talent

AI Security Engineer

Santa Clara, CA · On-site +1

$90 - $130/hr

Sustainable Talent is partnering with Nvidia a global leader who's been transforming computer ... We are looking for Generative AI Security Engineer to support our client's team based out of in ...

Sustainable Talent

AI Security Engineer

Santa Clara, CA · On-site

$90 - $130/hr

Sustainable Talent is partnering with Nvidia a global leader who's been transforming computer ... We are looking for Generative AI Security Engineer to support our client's team based out of in ...

Sustainable Talent

AI Security Engineer

Santa Clara, CA · On-site +1

$90 - $130/hr

Sustainable Talent is partnering with Nvidia a global leader who's been transforming computer ... We are looking for Generative AI Security Engineer to support our client's team based out of in ...

NVIDIA

Senior Network Engineer - Deployments

Santa Clara, CA

$121.20K - $166.10K/yr

NVIDIA Senior Network Deployment Engineer NVIDIA has been transforming computer graphics, PC gaming ... Collaborate cross-functionally with internal IT teams, security, data center teams, facilities, and ...

Damco

Sr. Embedded Security Engineer

Poway, CA

$128.20K - $168K/yr

Sr. Embedded Security Engineer US Citizen Only with Active Secret Clearance Location: Poway, CA ... Hardware: Experience with Xilinx FPGAs and NVIDIA Jetson embedded modules. * Crypto: Implementing ...

Damco Solutions

Sr. Embedded Security Engineer

Poway, CA

$128.20K - $168K/yr

Sr. Embedded Security Engineer US Citizen Only with Active Secret Clearance Location: Poway, CA ... Hardware: Experience with Xilinx FPGAs and NVIDIA Jetson embedded modules. * Crypto: Implementing ...

Vals AI

Security Engineer

San Francisco, CA

Security Engineer We are looking for a strong security engineer to join our team at Vals AI. You ... Our team has prior work experience at NVIDIA, Meta, Microsoft, Palantir and HRT. Collectively, we ...

Field AI

Infrastructure Security Engineer

Irvine, CA

$153.50K/yr

Infrastructure Security Engineer FieldAI's Irvine team is where embodied AI meets real robots, real ... We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA ...

Kaav Inc.

DevOps Engineer

Sunnyvale, CA

$62.75 - $86/hr

DevOps Engineer Nvidia Corp is seeking a hands-on and highly motivated DevOps Engineer to join its ... Ensure best practices in security, system reliability, and efficiency. Required Qualifications

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Security Engineer Nvidia information

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$61.5K

$152.8K

$205.5K

How much do security engineer nvidia jobs pay per year?

As of Jun 3, 2026, the average yearly pay for security engineer nvidia in the United States is $152,773.00, according to ZipRecruiter salary data. Most workers in this role earn between $143,000.00 and $158,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Security Engineer at Nvidia, and why are they important?

To thrive as a Security Engineer at Nvidia, you need a strong background in cybersecurity principles, network security, and vulnerability assessment, typically supported by a degree in computer science or a related field. Familiarity with tools and technologies such as SIEM platforms, intrusion detection/prevention systems, and security certifications like CISSP or CEH is often required. Analytical thinking, effective communication, and problem-solving skills help you respond to threats and collaborate across teams. These skills and qualities are vital for safeguarding Nvidia’s data, infrastructure, and intellectual property in a constantly evolving threat landscape.

How does a Security Engineer at Nvidia typically collaborate with software development and IT teams?

As a Security Engineer at Nvidia, collaboration with software development and IT teams is a core part of the role. Security Engineers work closely with developers to review code and identify vulnerabilities early in the software development lifecycle, often participating in design discussions and threat modeling sessions. They also partner with IT teams to implement and monitor security controls, respond to incidents, and ensure compliance with internal and industry standards. This cross-functional collaboration helps maintain a secure environment while supporting innovation and business goals.

What does a Security Engineer do at Nvidia?

A Security Engineer at Nvidia is responsible for designing, implementing, and maintaining security measures to protect the company's systems, networks, and data. They work on identifying vulnerabilities, conducting risk assessments, and developing strategies to mitigate threats. Additionally, they collaborate with other teams to ensure that Nvidia's products and infrastructure meet the highest security standards, respond to security incidents, and help build secure software and hardware solutions.

What is the difference between Security Engineer Nvidia vs Security Analyst Nvidia?

AspectSecurity Engineer NvidiaSecurity Analyst Nvidia
Required CertificationsCompTIA Security+, CISSP, CEHCompTIA Security+, GIAC Security Essentials
Work EnvironmentDesigns and implements security systems, often in development teamsMonitors security alerts, analyzes threats, and responds to incidents
Employer & Industry UsageTech companies like Nvidia, focusing on product security and infrastructureIT security teams within Nvidia or similar tech firms

Security Engineers Nvidia focus on designing and implementing security solutions, while Security Analysts Nvidia monitor and respond to security threats. Both roles require similar certifications and are integral to Nvidia's cybersecurity efforts, but they differ in daily responsibilities and focus areas.

Infographic showing various Security Engineer Nvidia job openings in the United States as of May 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 84% Physical, 8% Hybrid, and 8% Remote job distribution, with an average salary of $152,773 per year, or $73.4 per hour.
AI Security Engineer

AI Security Engineer

Sustainable Talent

Santa Clara, CA • On-site, Remote

$90 - $130/hr

Full-time

PTO

Posted 16 days ago

Job description

Sustainable Talent is partnering with Nvidia a global leader who's been transforming computer graphics, PC gaming, and accelerated computing for over 25 years. We are looking for Generative AI Security Engineer to support our client's team based out of in Santa Clara, CA with remote/ hybrid work options.

This is a full-time (W-2) contract role. We offer competitive pay $90/hr - $130/hr based on factors like experience, education, location, etc. and provide full benefits, PTO, and amazing company culture!

As a Machine Learning Engineer, you'll work alongside NVIDIA's research and engineering teams, focused on AI Safety for LLMs, including multi-lingual, multi-modal, and reasoning models. We value expertise in data science paired with a robust data engineering foundation. This role is directed at assessing, and improving the safety and inclusivity of our LLM models in a scalable fashion. We seek someone proficient in programming and scripting for comprehensive data manipulation, analysis, and model fine-tuning. We believe in proactive problem-solving, minimal supervision, and being exceptional teammates who collaborate, think, and learn as one unit. Let's make a difference together!

What you'll be doing:

  • Develop datasets and moderator models for evaluating LLM models and end-to-end systems for Content Safety, ML Fairness. These LLM models can be txt-to-txt or multimodal-to-txt.
  • Develop datasets for training LLM models with SFT and RL techniques, for Content Safety, ML Fairness, Security and more.
  • Research and implement cutting-edge techniques for bias detection and mitigation in LLMs and systems.
  • Define and track key metrics for responsible LLM behavior and usage.
  • Follow the best practices of automation, monitoring, scale, safety.
  • Contribute to our repositories and develop safety tools to help ML teams be more effective.
  • Data pre-processing and analysis: Collaborate with data scientists and data engineers to collect, clean, pre-process, and transform large and wide datasets.
  • Conduct exploratory data analysis (EDA) to uncover insights and identify patterns that boost the model performance.
  • Collaborate with multidisciplinary teams: Collaborate with product engineers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.

What we need to see:

  • Bachelor's or Master's Degree in Computer Science or related field or equivalent experience.
  • 2+ years of work experience as a Machine Learning Engineer or Deep Learning Scientist or a similar role, with a consistent record of successfully delivering ML solutions.
  • Strong programming skills in languages such as Python. Experience with frameworks like TensorFlow, PyTorch, or scikit-learn.
  • Proficiency in data manipulation, analysis, and visualization using tools like NumPy and pandas.
  • Deep understanding of machine learning algorithms, statistical models, and data structures.
  • Familiarity with software development practices and version control systems (e.g., Git).
  • Good at problem solving and analytical ability.
  • Excellent collaboration and communication skills.

Ways to stand out from the crowd:

  • Experience with GenAI Security including Prompt Injection Stability, Model Extraction, Confidentiality/Data Extraction, Integrity, Availability and Adversarial Robustness.
  • Experience with one or more of the following areas within Content Safety: Hate/Harassment, Sexualized, Harmful/Violent, or other specific areas from your application.
  • Experience with alignment/fine-tuning of LLMs - including regular LLMs as well as VLMs (Vision Language Model) or any-to-text
  • Experience with multimodal and/or multilingual Content Safety, legal and regulatory compliance.
  • Passion for AI and a demonstrated commitment to advancing the field through innovative research, prior scientific research and publication experience.

Sustainable Talent is a M/F+, disabled, and veteran equal employment opportunity and affirmative action employer.

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