Six Figure Work

Research Scientist, AI and Systems Security - PhD New College Grad 2026

NVIDIA

Company websitenvidia.com (NVIDIA, opens in new tab)

Base salary $168,000  to $264,500

Employer-published annual base salary, USD. Advertised base range in Westford, MA +1 more

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  • LocationWestford, MA +1 more
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (2 h ago) · observed since
All places named
  • Westford, MA
  • Santa Clara, CA

About this job

We are looking for a Research Scientist to advance security, safety, and privacy across three complementary research areas: (1) security of AI models and systems; (2) AI-enabled design and verification of secure computer systems; and (3) AI for cybersecurity. The first area includes making AI models, agents, data pipelines, runtimes, and accelerated computing platforms secure, safe, private, and resilient to attack, misuse, data leakage, and other failures. AI-enabled design and verification includes using AI, together with systems and formal techniques, to design, analyze, implement, and verify secure hardware and software systems. AI for cybersecurity includes applying AI to vulnerability discovery, secure systems development, threat detection, incident analysis, and automated defense.

Across these three areas, we aim to build secure, safe, and private systems from first principles by co-designing hardware, software, AI models, algorithms, and operational controls. Our goal is to provide strong, measurable, and where possible verifiable protection while preserving performance, energy efficiency, and usability. We welcome researchers with depth in one area and interest in contributing across the broader agenda.

NVIDIA is a leader in accelerated computing and AI systems. This role offers the opportunity to shape the security and safety foundations of emerging AI platforms, develop new approaches for AI-enabled secure system design and verification, and advance AI-powered cybersecurity in collaboration with research, product, and engineering teams.
 

What you'll be doing:

  • Advance the security, safety, and privacy of AI models and systems across the full lifecycle, including data collection, training, model and agent behavior, inference, deployment, and platform operations.

  • Develop AI-enabled methods to design, analyze, implement, and verify computer systems, including hardware architectures, system software, runtimes, compilers, and applications; rigorously evaluate security, safety, privacy, performance, and efficiency tradeoffs.

  • Advance AI for cybersecurity by developing techniques for vulnerability discovery, secure code generation and review, threat detection, incident analysis, security validation, and automated defense.

  • Collaborate across hardware, software, research, and product teams; publish original research; and help translate research advances into practical systems and developer capabilities.
     

What we need to see:

  • A Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a related field, with a strong research background in security, AI/ML, computer architecture, operating systems, formal methods, programming languages and compilers, software systems, or other related areas.

  • A record of research excellence demonstrated through publications, open-source systems, patents, technology transfer, or substantial research collaborations.

  • Deep expertise in at least one of the three research areas—security of AI models and systems, AI-enabled design and verification of secure computer systems, or AI for cybersecurity—with the ability to connect that depth to challenges across the hardware/software stack.

  • Strong experimental research and prototyping skills, including the ability to build systems, define threat models, design meaningful evaluations, and analyze security and performance tradeoffs.

  • Strong programming skills in C, C++, Python, and/or relevant systems and machine-learning frameworks, along with clear written and verbal communication skills.
     

We are looking for creative, collaborative, and self-directed researchers who want to secure AI models and systems, use AI to help design and verify secure computer systems, and expand what AI can do for cybersecurity. Candidates do not need to be experts in all three areas, but should be excited to work across disciplines and help turn new ideas into high-impact research and technology.
 

NVIDIA has continuously reinvented itself over two decades. This is our life’s work — to amplify human imagination and intelligence. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers! We have some of the most hardworking, resourceful and dedicated people in the world working for us. Are you a security researcher who loves the challenge of exploring and crafting techniques that will impact our future products? If so, we want to hear from you!

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 168,000 USD – 264,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 10, 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.

Source: NVIDIA on Workday · View original posting (opens in new tab)

Pay in context

This role's base floor ($168,000) is above 63% of the 228 Data & ML roles in Massachusetts listed on this site; 1 other lists the same floor. Their median floor is $154,400; the middle half runs from $128,662 to $180,000.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 8, 2026.

This range next to 6 other live NVIDIA roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live NVIDIA roles with the nearest advertised base floor
RolePublished base
Research Scientist, AI and Systems Security - PhD New College Grad 2026 (this listing)$168,000 - $264,500
L11 System Product Development Engineer$168,000 - $258,750
Senior Software Engineer, Network Visibility Platform - DGX Cloud$168K - $322K
Hardware Validation Procedures and Documentation Lead$168,000 - $258,750
Senior Software Engineer, Platform Engineering$168K - $322K
PhD Research Scientist, Fundamental Generative AI - New College Grad 2026$168,000 - $264,500
AI Engineering Manager - Finance$168K - $322K

Same $100K to $400K scale as every card. All NVIDIA roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-11-06
Where this pay comes from

Location as the employer wrote it: US, MA, Westford • US, CA, Santa Clara

base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 168,000 USD – 264,500 USD.

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.

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