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Part Time Cuda Developer Jobs (NOW HIRING)

Data Engineer

San Diego, CA · On-site

$61K - $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 ...

... 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 ...

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 ...

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 ...

Python, C#, Typescript, Java, Kotlin, Swift, GoLang, Cuda * Documented knowledge in Secure-Element ... We are open to ideas, including flexible work arrangements, job sharing or part-time job seekers.

$86K - $198K/yr

Experience with Git, including GitHub, GitLab, or Azure DevOps, CI / CD, test automation, and ... Experience with GPU and HPC optimization such as CUDA and multi-GPU orchestration, physics-based ...

AI Engineer

El Segundo, CA · On-site

$77K - $176K/yr

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

AI Engineer

Bethesda, MD · On-site

$77K - $176K/yr

Experience with GPU programming, including CUDA or RAPIDs * Experience with modern cloud computing ... 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 Developer information

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$17

$52

$81

How much do part time cuda developer jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for part time cuda developer in the United States is $52.84, according to ZipRecruiter salary data. Most workers in this role earn between $40.38 and $64.66 per hour, depending on experience, location, and employer.

What is the difference between Part Time Cuda Developer vs Part Time GPU Programmer?

AspectPart Time Cuda DeveloperPart Time GPU Programmer
Required CredentialsKnowledge of CUDA, C++, GPU architectureKnowledge of GPU APIs, CUDA, OpenCL, C++
Work EnvironmentTech companies, research labs, software firmsGaming, simulation, scientific computing sectors
Industry UsagePrimarily in high-performance computing and AIGraphics rendering, scientific simulations
Search & Comparison IntentJob-specific, technical skills, part-time rolesRelated GPU development roles, part-time opportunities

While both roles involve GPU programming, a Part Time Cuda Developer focuses specifically on CUDA-based development for high-performance computing, whereas a Part Time GPU Programmer may work across various GPU APIs like OpenCL or Vulkan, often in graphics or simulation contexts. The roles overlap in skills but differ in application focus and industry usage.

What are some common challenges faced by part-time CUDA developers, and how can they overcome them?

Part-time CUDA developers often face challenges such as staying updated with rapidly evolving GPU technologies and efficiently managing limited project hours. Since CUDA development requires specialized knowledge of parallel computing and hardware optimization, part-time roles may have less time for deep dives into debugging and performance tuning. To overcome these challenges, it's important to set clear communication with the team about project expectations, prioritize learning through concise resources, and leverage established code libraries. Regular synchronization with full-time developers and participating in code reviews can also help maintain alignment on project goals and technical standards.

What are part time CUDA developers?

Part time CUDA developers are software engineers who specialize in creating, optimizing, and maintaining programs that use NVIDIA's CUDA platform for parallel computing, but work less than a full-time schedule. Their main responsibility is to help accelerate computational tasks by leveraging GPU resources, often for applications in fields like machine learning, scientific computing, or video processing. Part time roles can be ideal for companies needing specialized CUDA expertise on a flexible or project-based basis, or for professionals seeking work-life balance. These developers typically need strong backgrounds in C/C++ programming and parallel algorithms, along with experience in GPU architectures.

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

To thrive as a Part Time Cuda Developer, you need strong programming skills in C/C++ and parallel computing concepts, along with experience in GPU development using NVIDIA CUDA. Familiarity with CUDA Toolkit, GPU profiling/debugging tools, and possibly certifications in GPU programming are often required. Effective problem-solving, self-motivation, and time management are critical soft skills, especially when working part-time or remotely. These skills ensure the ability to deliver optimized, high-performance code and meet project deadlines in computationally intensive environments.
More about Part Time Cuda Developer jobs
What are the most commonly searched types of Cuda Developer jobs? The most popular types of Cuda Developer jobs are:
Infographic showing various Part Time Cuda Developer job openings in the United States as of June 2026, with employment types broken down into 50% As Needed, and 50% Nights. Highlights an 87% Physical, 6% Hybrid, and 7% Remote job distribution, with an average salary of $109,905 per year, or $52.8 per hour.
Computer Vision AI Engineer

Computer Vision AI Engineer

Booz Allen Hamilton, Inc.

Mclean, VA • On-site

$99K - $225K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 22 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 57 rated business consultants


Job description

Job Description
Remote Work:
Hybrid
Job Number:
R0238503
Location:
McLean,VA,US
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Additional Locations:
  • Aurora, Colorado, USA
  • Chantilly, Virginia, USA
  • Colorado Springs, Colorado, USA
  • El Segundo, California, USA

Computer Vision AI Engineer
The Opportunity:
Booz Allen Hamilton is seeking an innovative and experienced AI Developer specializing in Computer Vision to join our growing team for Space solutions. In this role, you will leverage your expertise in artificial intelligence, data science, and machine learning engineering to train, test, deploy, and maintain models that learn from data.
You will collaborate with cross-functional teams to develop and deploy advanced computer vision models and systems, bringing significant technological advancements that drive mission success.
In this role, you'll contribute to the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You'll grow within a large community of machine learning engineers across the company and collaborate with a team of dedicated Space industry and AI professionals to deliver world-class solutions to solve missile warning problems in near-real-time.
What You'll Work On:
  • Develop and implement deep learning computer vision models, with a focus on sensor fusion and target tracking.
  • Collaborate with multidisciplinary teams to design, develop, test, and deploy technical solutions in Python, C++, and Rust.
  • Develop and maintain Fire Control Systems, ensuring robustness and accuracy in real-time applications.
  • Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision applications.
  • Contribute to the architecture and implementation of embedded systems programming using C, C++, or Rust.

Join us. The world can't wait.
You Have:
  • 7+ years of experience in sensor fusion and target tracking
  • Experience in deep learning for computer vision, including the use of transformer-based models such as DINO, CLIP, or SAM
  • Experience in artificial intelligence, data science, machine learning engineering, or software engineering
  • Experience with developing technical solutions using Python, C++, or Rust
  • Secret clearance
  • Bachelor's degree in Science, Technology, Engineering, or Mathematics

Nice If You Have:
  • Experience with embedded systems programming in C, C++, or Rust
  • Experience in GPU programming, including CUDA or RAPIDs
  • Experience with developing in-space solutions
  • Knowledge of modern software design patterns, including micro-service design and orchestration in Kubernetes deployment
  • TS/SCI clearance
  • Master's degree in Computer Science, Artificial Intelligence, or a related field

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914