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Temporary Gpu Programming Jobs (NOW HIRING)

Merican

OpenXR App Developer

Redmond, WA · On-site

$48 - $50/hr

Job Type: Temporary Assignment Work Type: Onsite 3+ years of professional software development ... Understanding of rendering/perf constraints for XR (72/90/120 FPS targets, GPU/CPU bottlenecks ...

Columbia University

Systems Administrator

New York, NY · On-site

$80K - $90K/yr

End Date if Temporary: * Hours Per Week: 35 * Standard Work Schedule: * Building: Morningside ... GPU cluster. The successful applicant will learn all aspects of running a research data center ...

Uw

Research Scientist/Engineer 1

Seattle, WA · On-site

$70K/yr

Additional Requirements: 1. Programming & data: Python (numpy/pandas), basic R (Seurat/tidyverse ... First Shift (United States of America) Temporary or Regular? This is a regular position FTE ...

Merican

Senior AI Engineer - Privacy

Bellevue, WA · On-site

$117K - $162K/yr

Temporary Assignment Work Type: Onsite * The Senior AI Engineer - Privacy will design, build, and ... and GPU/compute resources. * Build and maintain CI/CD pipelines for AI model deployment using ...

Bedrock Robotics

Hardware Engineer

San Francisco, CA · On-site

$145K - $192K/yr

High performance/power edge compute including multi-CPU platforms with significant GPU resources ... wide temp ranges, IP, and solar loading * High speed signaling including GSML, multi gigabit ...

Exyte GmbH

Assess new technologies (liquid cooling, high-density GPU cooling, exhaust filtration advancements ... temp/humidity/pressurization) o Chilled water, hot water, boilers, hydronics, pumps, and HVAC ...

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How much do temporary gpu programming jobs pay per year?

As of Jun 19, 2026, the average yearly pay for temporary gpu programming in the United States is $64,974.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,500.00 and $80,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Temporary GPU Programmer, and why are they important?

To thrive as a Temporary GPU Programmer, you generally need strong proficiency in parallel programming, C/C++, and deep knowledge of GPU architectures, often supported by a degree in computer science or a related field. Familiarity with technical tools like CUDA, OpenCL, and GPU profiling/debugging systems is typically required. Problem-solving ability, attention to detail, and effective communication are standout soft skills for this role. These skills ensure efficient development, optimization, and troubleshooting of GPU-accelerated applications in a fast-paced, project-based environment.

What types of projects or tasks are commonly assigned to temporary GPU programming roles?

Temporary GPU programming roles typically focus on short-term, high-impact projects such as optimizing existing code for parallel processing, accelerating specific algorithms, or supporting research and development teams with prototype implementations. You may be tasked with profiling and enhancing the performance of applications using frameworks like CUDA or OpenCL, or assisting with machine learning model training and inference on GPU hardware. Collaboration with data scientists, software engineers, and domain experts is common, and your contributions often involve delivering tangible speedups or enabling new computational capabilities within tight timelines.

What is a Temporary GPU Programmer?

A Temporary GPU Programmer is a professional hired on a short-term basis to develop, optimize, or maintain software that runs on Graphics Processing Units (GPUs). These programmers typically work with languages like CUDA, OpenCL, or DirectX to accelerate complex computations or graphics rendering. Temporary roles may be project-based, such as optimizing machine learning models, scientific simulations, or enhancing graphics in games and applications. Companies often hire temporary GPU programmers to meet specific deadlines, handle workload spikes, or bring in specialized expertise for certain tasks.
What are the most commonly searched types of Gpu Programming jobs? The most popular types of Gpu Programming jobs are:
Temporary Gpu Programming jobs near you

Computational Scientist BIOHPC, Temporary

351002 - BF-HPC

Dallas, TX • On-site

Full-time

Medical, PTO

Posted 28 days ago

Job description

WHY UT SOUTHWESTERN?
With over 75 years of excellence in Dallas-Fort Worth, Texas, UT Southwestern is committed to excellence, innovation, teamwork, and compassion. As a world-renowned medical and research center, we strive to provide the best possible care, resources, and benefits for our valued employees. Ranked as the number 1 hospital in Dallas-Fort Worth according to U.S. News & World Report, we invest in you with opportunities for career growth and development to align with your future goals. Our highly competitive benefits package offers healthcare, PTO and paid holidays, on-site childcare, wage, merit increases and so much more. We invite you to be a part of the UT Southwestern team where you'll discover a culture of teamwork, professionalism, and a rewarding career!
JOB SUMMARY
The research computing infrastructure for UT Southwestern Medical Center is the Biomedical High Performance Computing (BioHPC) resource that includes an HPC cluster containing conventional and GPU-based nodes for parallel computing, large-scale data storage, and integration of HPC with high-performance desktop workstations. The Computational Scientist - BioHPC will work on the daily operations of the HPC system, provide user support and training, and collaborate on high-end computational research projects.
This position includes an initial training period during which the individual will serve as an intern, with transition to a permanent role contingent upon successful performance. The role supports high-performance computing (HPC) operations and computational research activities in biomedical informatics.
Job Duties
  • Support faculty and research teams from all BioHPC member departments at UTSW in adapting computational strategies to the specific features of the BioHPC infrastructure.
  • Work with a range of systems and technologies such as compute cluster, parallel file systems, high speed interconnects, GPU-based computing, and database servers.
  • Automation of continuous integration and continuous deployment (CI/CD) pipelines to deliver software in the HPC environment, including containerized environments.
  • Develop software and methods to explore, analyze and visualize very complex and high dimensional biological and biomedical data sets.
  • Design and optimize workflows for the high-performance compute environment for data collection, data integrity, stable data flow, and ensuring data security during transfer and at rest.
  • Participate with UTSW faculty in the design and execution of collaborative research studies in biomedical informatics, providing expertise on the HPC environment.
  • Interact with users to understand computational research needs and develop/deliver training on the application and usage of computational systems to help accelerate the pace of scientific discovery across UTSW's research community.
  • Performs other duties as needed.
Education and Experience
Required
  • Education Bachelor's Degree In Computer Science, Engineering, Physics, or other field related to biomedical and computational research or Preferred Education Master's Degree or PhD Experience
  • Experience with HPC and/or demonstrated success in publishing computational science results is a strong plus.
Security
This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information.
EEO Statement
UT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. As an equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age, disability, genetic information, citizenship status, or veteran status.

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