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Nvidia Engineering Jobs in New York (NOW HIRING)

Nvidia

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

... engineering actions with infrastructure, operations and product teams. * Participating in cross-functional projects to integrate machine learning capabilities into various NVIDIA products. What we ...

Nvidia

Senior Solution Engineer, Networking

New York, NY · On-site

$60.50 - $78/hr

The NVIDIA Enterprise Experience (NVEX) Solutions Engineering team is looking for a senior Computer or Software Engineer. This person will establish expertise in ground-breaking network technology ...

Nvidia

Senior Software Engineer - AI Inference

New York, NY · On-site

$134K - $176K/yr

NVIDIA is the platform upon which every new AIpowered application is built. We are seeking a Senior Software Engineer - AI Inference to advance opensource LLM serving by contributing directly to ...

Nvidia

Senior VLSI CAD Software Engineer

New York, NY · On-site

$134K - $176K/yr

Collaborate with internal engineering customers worldwide to envision new tools and define their requirementsbe doing, *who* they'll be working with, and *how* their work will fit into NVIDIA's work ...

Nvidia

HPC Middleware Developer

Holmdel, NJ · On-site

MSc or equivalent experience in computer science / software engineering. Ways to stand out from the ... NVIDIA is widely considered to be one of the technology world's most desirable companies to work ...

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Nvidia Engineering information

What are the key skills and qualifications needed to thrive as an Nvidia engineer, and why are they important?

To thrive in Nvidia Engineering, candidates typically need strong proficiency in computer engineering, software development, and a solid understanding of hardware architecture, often backed by a relevant degree such as Electrical Engineering or Computer Science. Familiarity with tools like CUDA, C/C++, Python, and version control systems, as well as experience with GPU programming, are highly valued, and certifications such as Nvidia's Deep Learning Institute credentials can enhance a candidate's profile. Excellent problem-solving, team collaboration, and communication skills set top performers apart in this role. These skills and qualifications enable engineers to contribute effectively to complex, innovative projects that drive Nvidia's technological advancements.

What is an Nvidia engineer?

An Nvidia Engineering job involves designing, developing, and optimizing hardware or software solutions in areas such as graphics processing, AI, and high-performance computing. Engineers at Nvidia work on cutting-edge technologies, including GPUs, deep learning frameworks, and system architecture. Roles vary from hardware design and verification to software development and AI research, depending on expertise. Strong skills in programming, computer architecture, and problem-solving are typically required.

What types of projects do Nvidia engineers typically work on, and how is teamwork structured within the engineering department?

Nvidia Engineers commonly engage in projects related to GPU development, AI and deep learning solutions, software driver optimization, and next-generation hardware innovation. Project teams are often multidisciplinary, bringing together software, hardware, and systems engineers to collaborate closely on end-to-end product development. Engineers frequently work in agile, fast-paced environments, attend regular team stand-ups, and participate in cross-functional meetings. This collaborative structure fosters creativity, accelerates problem-solving, and ensures high-quality product delivery while offering team members exposure to diverse technologies and career growth opportunities.

What are the most commonly searched types of Nvidia Engineering jobs in New York?

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For Nvidia Engineering jobs in New York, the most frequently searched job titles are:

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Nvidia Engineering jobs near you
Infographic showing various Nvidia Engineering job openings in New York as of August 2026, with employment types broken down into 87% Full Time, 8% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Security Research Engineer, AI Safety and Security Engineering

Nvidia

New York, NY • On-site

Full-time

Posted 16 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies

Job description

NVIDIA, widely recognized as one of the world's most desirable employers, believes open-weight models are foundational to American AI leadership, cybersecurity, and defense through broad scientific scrutiny. As part of this mission, our AI Safety & Security Engineering team builds and evaluates AI-powered tooling that finds, validates, and patches software vulnerabilities, recognizing that finding a bug is only the beginning. We are seeking a Security Research Engineer to advance our Validate and Patch capabilities by establishing what counts as a confirmed vulnerability and defining what constitutes a truly correct, safe fix. In this critical role, you will apply rigorous security judgment to well-defined categories of vulnerabilities. These affect NVIDIA-internal targets. You will turn complex analysis into repeatable methods that improve software people rely on daily.

Validation here requires meticulous care to confirm reports are real and reachable rather than noise, while patching requires ensuring fixes repair flaws, protect existing behavior, and hold up under strict revalidation. Working alongside harness and evaluation engineers, you will establish high engineering standards, document your reasoning for independent security reviews, and ensure your methods run reliably with fully traceable evidence. AI-assisted workflows are an integral part of this job, but so is maintaining a healthy, disciplined skepticism about their outputs. Beyond immediate fixes, your work will teach the entire program what trustworthy patching looks like while actively helping decide which vulnerability classes the team tackles next. Ultimately, we hold our results to an exceptionally high bar and value specific, verifiable proof of your technical expertise-such as CVEs, advisories, or original security tools-over polished phrasing.

What You'll Be Doing:

  • Validation methods: Develop techniques that confirm vulnerabilities are real and reachable.

  • Patch methods: Advance approaches for generating and verifying safe fixes.

  • Quality standards: Define correctness, regression, and revalidation standards with reviewers.

  • Applied research: Work bounded vulnerability classes against internal targets.

What We Need To See:

  • Bachelor's degree (or equivalent experience) with 12+ years in security research or software engineering.

  • Security foundations: Hands-on vulnerability research, fuzzing, program analysis, or secure development in C, C++, or Python.

  • Fix quality: Rigor about what makes a fix correct and safe, including regression and behavior preservation.

  • AI-assisted workflows: Comfort using AI-assisted tools for analysis and development.

Ways to Stand Out from the Crowd:

  • Public research: CVEs, advisories, or publications in vulnerability research.

  • Analysis tooling: Experience building or extending fuzzers, static analyzers, or symbolic-execution tools.

  • Agentic ML: Familiarity with LLM-based coding or analysis agents.


With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and versatile people in the world working with us, and our engineering teams are growing fast in some of the most impactful fields of our generation: Confidential Computing and Data. If you're a creative engineer who enjoys autonomy and shares our passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 2, 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

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

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