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Nvidia Engineering Jobs in New York (NOW HIRING)

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 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

Product Manager, AI for Quantum

New York, NY · On-site +1

Collaborating with research, engineering, and product teams both across and outside NVIDIA to build the crucial AI models, tools, APIs, libraries, and workflows needed to accelerate quantum computing

Nvidia

Senior VLSI CAD Software Engineer

New York, NY · On-site

$134K - $176K/yr

... 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 What we need to see: MS CS ...

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

The most popular types of Nvidia Engineering jobs in New York are:

What are popular job titles related to Nvidia Engineering jobs in New York?

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

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The top searched job categories for Nvidia Engineering jobs in New York are:

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Cities in New York with the most Nvidia Engineering job openings:

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 94% Full Time, 3% Part Time, 2% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Evaluation and ML Systems Engineer, AI Safety and Security Engineering

Nvidia

New York, NY • On-site, Remote

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

NVIDIA is widely recognized as one of the most sought-after employers, with some of the most dedicated people in the world working for us! We believe open-weight models are foundational to American AI leadership and cybersecurity, and that trust in AI grows through participation, transparency, and broad scientific scrutiny. Our AI Safety & Security Engineering team builds and evaluates AI-powered tooling that helps find, validate, and patch software vulnerabilities. In a field full of big claims, our rule is simple: evidence first. We are looking for an Evaluation/ML-Systems Engineer to own how we measure the program. You will play a critical role in separating real capability from anecdote. You will make our numbers mean something, and keep them meaning it as the program grows. Your benchmarks will define what progress means for the program. Every conclusion the program reaches should trace back to benchmarks, runs, and code you helped make reproducible.

Measurement is not a support function here; it is how the program knows what is true. You will design the metrics, choose the baselines, and write the protocols that make comparisons fair. You will build the infrastructure that keeps every result tied to the run that produced it. When a number looks surprising, your systems will make it easy to check. You will automate the boring parts of measurement so people can focus on the questions.

You will partner with security researchers and platform engineers to design experiments people can trust and rerun. We review results internally before we rely on them, and your work makes that review possible. You will also help the team learn to read its own evidence honestly. Together you will build a shared habit of checking claims before repeating them.

What You'll Be Doing:

  • Evaluation infrastructure: Build the benchmarking and reproducibility systems we depend on.

  • Metrics and protocols: Define the metrics and protocols we measure against.

  • Traceability: Map every result to the code and runs that produced it.

  • Evidence discipline: Keep findings reviewable and conclusions traceable.


What We Need To See:

  • Bachelor's degree (or equivalent experience) with 5+ years in ML engineering or evaluation.

  • Evaluation experience: Designing benchmarks, metrics, and statistically sound comparisons for ML systems.

  • Measurement rigor: A careful, skeptical approach to metrics, baselines, and claims.

  • Engineering skills: Solid Python engineering for shared infrastructure, including experiment tracking and data pipelines.

Ways to Stand Out from the Crowd:

  • Security evaluation: Exposure to evaluating security tooling or pipelines.

  • Agentic systems: Experience measuring agent or LLM behavior.

  • Community work: Contributions to public benchmarks or evaluation frameworks.


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 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 July 30, 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

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