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Part Time Cuda Jobs (NOW HIRING)

Booz Allen Hamilton, Inc.

AI/ML Engineer, Mid

Dayton, OH · On-site

$77K - $176K/yr

Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of applications and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

AI/ML Engineer, Mid

Dayton, OH · On-site

$77K - $176K/yr

Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of applications and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Intel

AI Software Engineering Intern

Folsom, CA · On-site

This role is ideal for a student who can work part-time (16 hours/week) for 6 months to 1 year and ... Graphics experience (GPU / CUDA) Job Type:Student / Intern Shift:Shift 1 (United States of America ...

Intel

AI Software Engineering Intern

Hillsboro, OR · On-site

This role is ideal for a student who can work part-time (16 hours/week) for 6 months to 1 year and ... Graphics experience (GPU / CUDA) Job Type:Student / Intern Shift:Shift 1 (United States of America ...

Sciton

Computer Vision (Software) Engineer

Palo Alto, CA · On-site

$170K - $190K/yr

GPU/CUDA acceleration * FPGA, NPU, or hardware-accelerated vision pipelines * Memory-mapped I/O ... PART-TIME Full-Time POSITION Computer Vision (Software) Engineer LOCATION Palo Alto, HQ Pay Range ...

Booz Allen Hamilton, Inc.

AI/ML Engineer, Senior

Dayton, OH · On-site

$99K - $225K/yr

Experience in GPU programming, including CUDA or RAPIDs * Experience with AWS and containerization ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

... CUDA * Experience with infrastructure as code frameworks and services, including Terraform or ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

HPC Engineer, Mid

Beavercreek, OH · On-site

$61K - $141K/yr

Experience with GPU computing, including CUDA and ROCm, or GPU-accelerated workflows * Experience ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Part Time Cuda information

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$14

$39

$85

How much do part time cuda jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for part time cuda in the United States is $39.36, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $57.45 per hour, depending on experience, location, and employer.

What are part-time CUDA jobs?

Part-time CUDA jobs involve working with NVIDIA's CUDA platform, which is used for parallel computing on graphics processing units (GPUs), but on a part-time schedule. These roles typically require programming skills in languages like C++ or Python and experience with CUDA for tasks such as accelerating computations or developing GPU-accelerated applications. Part-time positions offer flexibility, allowing professionals or students to contribute to CUDA-based projects without committing to a full-time schedule.

What is the difference between Part Time Cuda vs Part Time Data Analyst?

AspectPart Time CudaPart Time Data Analyst
Required CredentialsCUDA programming certifications, technical skillsData analysis certifications, SQL, Excel
Work EnvironmentTech companies, R&D labs, software firmsBusiness, finance, marketing sectors
Employer & Industry UsageTech industry, software developmentCorporate, consulting, research firms

Part Time Cuda roles focus on GPU programming and technical development, often in tech or software companies. In contrast, Part Time Data Analyst positions involve analyzing data sets to inform business decisions, common in various industries like finance and marketing. While both roles require analytical skills, CUDA emphasizes technical programming expertise, whereas Data Analysis centers on data interpretation and reporting.

What are some common challenges faced by part-time CUDA developers, and how can they effectively manage their workload?

Part-time CUDA developers often face the challenge of balancing complex parallel programming tasks within limited working hours. Because CUDA development can involve debugging intricate code and optimizing GPU performance, it's crucial to maintain clear communication with the team and set realistic expectations for deliverables. Utilizing version control systems and thorough documentation can help developers stay organized and ensure smooth handoffs during collaboration. Regular check-ins and prioritizing tasks also contribute to effective workload management in a part-time setting.

What are the key skills and qualifications needed to thrive as a CUDA Developer, and why are they important?

To thrive as a CUDA Developer, you need strong programming skills in C/C++, a deep understanding of parallel computing concepts, and experience with GPU architectures, typically supported by a related degree in computer science or engineering. Familiarity with NVIDIA CUDA Toolkit, GPU profiling/debugging tools, and parallel computing libraries is essential. Analytical thinking, problem-solving, and effective teamwork are crucial soft skills for optimizing code and collaborating on complex projects. These skills enable efficient development of high-performance GPU-accelerated applications, ensuring computational tasks are handled effectively and innovatively.
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Part Time Cuda jobs near you
Infographic showing various Part Time Cuda job openings in the United States as of July 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $81,860 per year, or $39.4 per hour.
Research Scholar ( Part-time)

Research Scholar ( Part-time)

New York University

New York, NY • On-site

$30/hr

Full-time, Part-time

Posted 19 days ago

New York University rating

8.3

Company rating: 8.3 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

103rd of 552 rated colleges and universities

Job description

Description
PART TIME RESEARCH SCHOLAR
New York University Tandon School of Engineering
The Department of Mechanical & Aerospace Engineering at NYU Tandon School of Engineering is seeking to hire a Part Time Research Scholar to work with Prof Vikram Kapila.
New York University (NYU) is one of the top private universities in the United States, and the Tandon School of Engineering, located in Brooklyn, NY, is deeply committed to excellence in teaching and learning. Tandon fosters student and faculty innovation and entrepreneurship that make a difference in the world.
Responsibilities
Candidates will be responsible for:
  • Expand existing "zero-code" framework based on large-language models (LLM), visual-language models (VLM), and a local perception pipeline
  • Create, implement, and test uses cases for robotics teaching and learning based on LLM, VLM, and perception models
  • Develop a tool based on mobile devices (tablets, smartphones, etc.) to simulate physical circuits with on-device sensors and Unity framework to create test modules for education
  • Working knowledge of modern ML frameworks, development, and testing pipeline
  • Exceptional communication and time management skills
  • Ability to work both independently and within a team
  • Demonstrated proficiency in C, C++, Python, and CUDA
  • ML model training is required.

The successful candidate will have a demonstrated background in large language models, vision language model, robotics, and various programming environments listed above.
Expected start date and period of employment
Expected start date is: July 1, 2026. This position is expected to be for Summer 2026 from July to August. Part time appointments would require a work schedule of 20 hours per week.
Salary range
In compliance with NYC's Pay Transparency Act, the salary for this position is $30 per hour.
Qualifications
Candidates should have at least a Masters in Mechanical Engineering or a related field. Candidates will be required to present eligibility to work in the United States.
Application Instructions
Application instructions
Applicants should submit the following information:
  • Cover letter
  • up-to-date CV that includes a complete list of publications,
  • names and contact information for three references.
  • Other additional information needed (e.g., research statement, publications)

All application materials should be submitted electronically via Interfolio.
Review of applications will begin as soon as possible and will continue until the position is filled.

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About New York University

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Since its founding in 1831, NYU has been an innovator in higher education, reaching out to an emerging middle class, embracing an urban identity and professional focus, and promoting a global vision that informs its 20 schools and colleges. Today, that trailblazing spirit makes NYU one of the most prominent and respected research universities in the world, featuring top-ranked academic programs and accepting fewer than one in eight undergraduates. Anchored in New York City and with degree-granting campuses in Abu Dhabi and Shanghai as well as 12 study away sites throughout the world, NYU is a leader in global education, with more international students and more students studying abroad than any other US university.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1831

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