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Cuda Programming Jobs in New York (NOW HIRING)

Senior ML Infrastructure Engineer

Edison, NJ · On-site

$112K - $152K/yr

This is a hands-on role that sits at the intersection of platform engineering and applied ML, and requires someone who is equally comfortable debugging a CUDA out-of-memory error and designing a ...

... CUDA, PTX assembly, and architecture-specific techniques • Apply advanced performance optimization methods such as memory coalescing, warp-level programming, tensor core acceleration, and compute ...

Experience with low-level GPU programming (CUDA/Triton) or hardware co-design. * Familiarity with the challenges of training Large Language Models (LLMs) * Familiarity with the challenges of ...

Software Engineer - Systems

New York, NY · On-site

$200K - $275K/yr

Strong foundation in operating systems and systems programming * Proven track record in performance ... PyTorch, CUDA) is also a plus * Experience with Rust is a bonus * Willingness to work in-person at ...

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Cuda Programming information

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$30

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How much do cuda programming jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for cuda programming in New York is $59.47, according to ZipRecruiter salary data. Most workers in this role earn between $48.12 and $69.42 per hour, depending on experience, location, and employer.

What is the salary of NVIDIA CUDA developer?

The salary of an NVIDIA CUDA developer typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Skilled CUDA programmers with advanced knowledge of parallel computing and GPU architecture tend to earn higher salaries.

What jobs use CUDA?

Jobs that use CUDA include roles such as GPU programmer, software developer, data scientist, and machine learning engineer, especially in fields like high-performance computing, artificial intelligence, and scientific research. These roles often require knowledge of parallel programming, C++, and GPU architecture, and involve developing or optimizing software to run efficiently on NVIDIA GPUs.

Are CUDA programmers in demand?

CUDA programmers are in high demand due to the growing use of GPU computing in fields like artificial intelligence, scientific research, and data processing. Skills in parallel programming, GPU architecture, and CUDA toolkit are highly valued, and job opportunities are expected to increase as these technologies expand across industries.

How much do CUDA engineers make?

CUDA engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in parallel programming and GPU optimization can command higher salaries, especially in tech hubs or companies with advanced AI and high-performance computing needs.

What is the difference between Cuda Programming vs GPU Developer?

AspectCuda ProgrammingGPU Developer
Required CredentialsKnowledge of CUDA, C/C++, parallel computingKnowledge of GPU architecture, CUDA, OpenCL, C/C++
Work EnvironmentHigh-performance computing, scientific research, AIGraphics, gaming, scientific visualization, AI
Industry UsageTech companies, research labs, AI firmsGaming, entertainment, tech, research

While Cuda Programming focuses specifically on writing code using NVIDIA's CUDA platform for parallel processing, GPU Developers have a broader role that includes designing, optimizing, and implementing GPU-based solutions across various platforms and technologies. Both roles require knowledge of GPU architecture and programming languages like C/C++, but GPU Developers often work on a wider range of applications beyond CUDA-specific projects.

What job categories do people searching Cuda Programming jobs in New York look for? The top searched job categories for Cuda Programming jobs in New York are:
What cities in New York are hiring for Cuda Programming jobs? Cities in New York with the most Cuda Programming job openings:
Infographic showing various Cuda Programming job openings in New York as of July 2026, with employment types broken down into 9% As Needed, 57% Full Time, 4% Part Time, 15% Temporary, 14% Nights, and 1% Summer. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $123,692 per year, or $59.5 per hour.

Senior CUDA Technical Marketing Engineer

Nvidia

New York, NY

Full-time

Posted 12 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 246 rated software companies


Job description

Are you a computational scientist, engineer or data scientist passionate about working with developers? NVIDIA is seeking a Senior Technical Marketing Engineer (TME) to share the CUDA platform with our developer community. TMEs are drawn from outstanding software engineers and scientists who enjoy helping and teaching developers to use NVIDIA technology to make ground-breaking advances. We want someone who understands the GPU developer perspective and speaks their language.

Your primary responsibilities will be to create and deliver technical content to teach developers how to use the CUDA platform successfully. You should be comfortable working in a dynamic environment and have experience with CUDA and NVIDIA GPU technologies. Your ability to work independently is important. We make heavy use of conferencing tools, but some travel is required for this role. You are empowered to find the best way to get your job done and do what it takes to make our developers successful.

What you'll be doing:

  • Dig deep into new and important CUDA features, evaluate them and experiment with them to provide developer-centric insights to help inform product development.

  • Craft compelling technical content, such as tutorials, guides, and blog posts to help enhance developer effectiveness using CUDA.

  • Deliver technical workshops, webinars, and presentations to educate and empower developers to build innovative solutions using NVIDIA's CUDA Platform.

  • Capture market insights and developer feedback to advise product roadmap decisions and find opportunities for innovation and differentiation.

  • Work effectively across NVIDIA with groups such as Product Management, Product Marketing, Engineering and Technical Sales to achieve business goals.

What we need to see:

  • MS or PhD in Engineering, Mathematics, Physical Sciences, or Computer Science or equivalent experience.

  • 5+ years relevant work experience as a developer with a focus on GPU compute platforms, including competency in C++ and Python.

  • Strong technical experience working with developer ecosystems.

  • Excellent communication skills particularly in the presentation of highly technical material.

  • Ability to work collaboratively across multi-functional teams.

  • Self-motivated and independent with the ability to multi-task effectively with minimal day-to-day direction.

Ways to stand out from the crowd:

  • Contributions to open-source projects or involvement in developer communities.

  • Author of published developer content like blogs, white papers, explainers, etc.

  • Examples of innovative solutions or projects you've developed using CUDA Platform.

  • Experience organizing or speaking at developer meetups, conferences, or hackathons.

NVIDIA is renowned globally as a top-tier technology innovator and employer. Our team thrives on creativity, collaboration, and a shared drive to tackle ambitious challenges. If you're a technically-minded, developer-focused engineer eager to share the CUDA platform with our developers, we want to hear from you!

With highly competitive salaries, a comprehensive benefits package, and an excellent engineering work culture, NVIDIA is widely considered to be one of the industry's most desirable employers.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 224,250 USD for Level 3, and 168,000 USD - 258,750 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 24, 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

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Hours and flexibility

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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