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Cuda Programming Jobs in New Rochelle, NY (NOW HIRING)

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 ...

Software Engineer - Systems

New York, NY

$189K - $224K/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 ...

Work across a mix of programming languages: C / C++ / Python / CUDA and other low-level GPU languages. * Build large-scale AI/ML systems that are observable, performant, and flexible. Help improve ...

Experience with NVIDIA GPU programming and CUDA * Experience with distributed training frameworks, such as DeepSpeed, FSDL, Ray * Experience with inference frameworks like vLLM * Experience with ...

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Cuda Programming information

See New Rochelle, NY salary details

$28

$55

$84

How much do cuda programming jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for cuda programming in New Rochelle, NY is $55.94, according to ZipRecruiter salary data. Most workers in this role earn between $45.29 and $65.29 per hour, depending on experience, location, and employer.

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.

Are CUDA programmers in demand?

CUDA programmers are in high demand due to the growing need for high-performance 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 grow as industries adopt GPU acceleration for complex tasks.

What does a CUDA programming developer do?

A CUDA programming developer writes software that leverages NVIDIA's CUDA platform to perform parallel processing on GPUs, optimizing computational tasks such as scientific simulations, machine learning, and image processing. They typically work with C++ and CUDA-specific libraries, debugging and optimizing code for high performance in environments that require intensive data processing.

What job categories do people searching Cuda Programming jobs in New Rochelle, NY look for?

The top searched job categories for Cuda Programming jobs in New Rochelle, NY are:

What cities near New Rochelle, NY are hiring for Cuda Programming jobs?

Cities near New Rochelle, NY with the most Cuda Programming job openings:

Infographic showing various Cuda Programming job openings in New Rochelle, NY as of August 2026, with employment types broken down into 1% Internship, 79% Full Time, 14% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $116,347 per year, or $55.9 per hour.

Campus AI Research Engineer (Full-Time)

Manhattan, NY • On-site

$300K/yr

Other

Posted 27 days ago


Job description

We are seeking world‑class engineers to collaborate with our research, trading, and engineering teams to build state‑of‑the‑art ML systems that solve some of the most complex problems in quantitative finance. Whether optimizing training pipelines on high‑performance computing clusters, developing low‑latency inference systems, or pushing the boundaries of AI research from concept to production, you’ll have the opportunity to work on impactful projects in a fast‑paced, collaborative environment. If you are driven by technical challenges, eager to work with large‑scale systems, and passionate about advancing AI/ML capabilities, we want to meet you.

What You’ll Do
  • Apply state‑of‑the‑art techniques to complex and challenging domains.
  • Work closely with researchers and quants to build flexible and reusable frameworks for financial AI/ML.
  • Optimize training pipelines to make the best use of our HPC resources.
  • Integrate AI/ML models into production systems where latency matters.
  • Work across a mix of programming languages: C / C++ / Python / CUDA and other low‑level GPU languages.
  • Build large‑scale AI/ML systems that are observable, performant, and flexible. Help improve productivity by reducing the iteration cycle time on research.
  • Other duties as assigned or needed.
Skills You’ll Need
  • Creative thinkers who are driven, self‑motivated, and eager to solve challenging problems
  • Proficiency in Python and/or C++
  • Proficiency in PyTorch, JAX, TensorFlow, and/or similar frameworks
  • Ability to thrive in a collaborative, team‑oriented environment
  • Expertise in GPU or accelerator programming (CUDA, Triton, SYCL, ROCm, or equivalent)
  • Experience building AI/ML systems at scale (hundreds of TBs of training data, low‑latency or high‑throughput inference requirements)
  • Excellent written and verbal communication skills in English
  • Reliable and predictable availability

International Students are encouraged to apply. We accept students eligible for CPT/OPT and we sponsor work visas for full‑time positions.

The estimated base salary for this role is $300,000 per year.

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