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Gpgpu Jobs (NOW HIRING)

Qualcomm

Staff GPU AI Engineer

San Diego, CA · On-site

$141K - $212K/yr

Familiarity with a GPGPU API such as SYCL, CUDA or OpenCL. * Understanding of data structures and algorithms, including object-oriented programming * 6+ years industry experience Minimum ...

Procom Consultants Group

Computer Technician

Santa Clara, CA · On-site

$21.50 - $28.50/hr

Must follow a set of steps to run GPGPU workloads and generate measurement data. Candidates will also be using software tools to capture traces and run simulations. Must be fluent in MS Excel and ...

3dB Labs, Inc.

C++ Software Engineer

West Chester, OH · On-site

... GPGPU software implementation using CUDA • Development of software for Linux operating systems (our primary target platform) • Digital signal processing and signals and systems theory • ...

3dB Labs

C++ Software Engineer

West Chester, OH · On-site

$70K - $140K/yr

GPGPU software implementation using CUDA * Development of software for Linux operating systems (our primary target platform) * Additional Experience that would be a plus with our target application ...

3dB Labs

C++ Software Engineer

West Chester, OH · On-site

$70K - $140K/yr

GPGPU software implementation using CUDA * Development of software for Linux operating systems (our primary target platform) * Additional Experience that would be a plus with our target application ...

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Gpgpu information

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$94.5K

$141.2K

$185.5K

How much do gpgpu jobs pay per year?

As of Jul 15, 2026, the average yearly pay for gpgpu in the United States is $141,171.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,500.00 and $155,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced when optimizing code for GPGPU applications?

Developers working with GPGPU (General-Purpose computing on Graphics Processing Units) often encounter challenges such as managing memory efficiently, ensuring proper synchronization between threads, and maximizing parallelism to fully utilize GPU resources. Debugging and profiling can also be more complex compared to CPU programming due to the highly parallel and asynchronous nature of GPU execution. Collaborating closely with software engineers and hardware specialists is common to address performance bottlenecks and ensure scalable, high-performing applications.

What is the difference between Gpgpu vs GPU Developer?

AspectGpgpuGPU Developer
Required CredentialsKnowledge of parallel programming, CUDA/OpenCLProgramming skills, CUDA/OpenCL, graphics APIs
Work EnvironmentHigh-performance computing, data centersGraphics rendering, game development, visualization
Industry UsageScientific computing, AI, data analysisGaming, multimedia, visualization

Gpgpu (General-purpose computing on graphics processing units) focuses on using GPUs for non-graphics tasks like scientific computing and AI. GPU Developers typically work on graphics rendering, game engines, and multimedia applications. While both roles require knowledge of CUDA or OpenCL, Gpgpu specialists emphasize parallel computing for data processing, whereas GPU Developers focus on graphics and visual effects.

What are the key skills and qualifications needed to thrive as a GPGPU (General-Purpose computing on Graphics Processing Units) Developer, and why are they important?

To excel as a GPGPU Developer, you need strong programming skills in C/C++, parallel computing, and a deep understanding of GPU architectures, often backed by a degree in computer science or a related field. Familiarity with tools and frameworks like CUDA, OpenCL, and profiling/debugging tools is typically required, along with relevant certifications being beneficial. Analytical thinking, problem-solving, and the ability to collaborate within multidisciplinary teams are crucial soft skills for this role. These competencies enable developers to optimize computational workloads, improve application performance, and drive innovation in high-performance computing environments.

What is GPGPU?

GPGPU stands for General-Purpose computing on Graphics Processing Units. It refers to the use of a GPU, which is traditionally used for rendering graphics, to perform computation in applications typically handled by the CPU. This approach leverages the parallel processing power of modern GPUs to accelerate tasks such as scientific simulations, data analysis, and machine learning. GPGPU programming often involves using languages like CUDA or OpenCL to write code that runs on the GPU. By offloading certain computations to the GPU, overall performance and efficiency can be significantly improved.
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Gpgpu jobs near you
Infographic showing various Gpgpu job openings in the United States as of July 2026, with employment types broken down into 2% Internship, 94% Full Time, and 4% Contract. Highlights an 96% Physical, and 4% Remote job distribution, with an average salary of $141,171 per year, or $67.9 per hour.
Sr DSP Software Engineer / C++ Linux OS

Sr DSP Software Engineer / C++ Linux OS

LaBine and Associates

Marlborough, MA • On-site

Full-time

Posted yesterday

Job description

The Software Digital Signal Processing Engineer positions are in the missile defense, electrical design directorate, receiver exciter and signal processing department.
Responsibilities include working within Linux, Unix and Real Time Operating System developing C/C++ implementation of signal processing algorithms and time critical control functions involved in and direct control of sensor systems. This position will also include working closely with other software and systems engineers to efficiently implement and test the software requirements.
Required Skills:
  • 2+ years or relevant experience
  • Application development experience that includes testing and debugging in C++/C on Linux or Unix environments
  • Ability to do software design, implementation and test
  • Working understanding of parallelism and concurrency as applied to algorithm implementation on shared memory and distributed systems
  • Direct experience implementing complex signal processing algorithms in C++ meeting latency and throughput performance requirements or experience in implementing complex control operations in software with defined performance timelines
  • Experience in developing and optimizing algorithms for performance.
  • Experience in multithreaded, multiprocessor software development using pthreads, OpenMP, or MPI programming models on clustered deployments
  • Experience developing applications for GPGPU using CUDA or OpenCL
  • Familiar with software configuration management and development process control (i.e. CMMI)
  • Experience in using version control tools such as ClearCase
  • Continuous integration and test experience in a hardware/software laboratory environment
  • Strong communication skills
  • Ability to work independently and in a team
  • A high degree of creativity and ability to solve a wide range of difficult problems
  • Ability to obtain a Secret security clearance
  • Bachelor's degree in an engineering or scientific discipline. Advanced degree desirable.

U.S. Citizenship status is required as this position will need a U.S. Security Clearance within 1 year of the start date.
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About LaBine and Associates

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LaBine and Associates is a full service talent acquisition firm specializing in executive search for a myriad of industries. Through our partnerships with experienced associates, we can also provide staffing support, expert consultants, and interim executives for your company’s needs. We have deep industry knowledge with understanding in multiple industries. Our specialists include experts in banking/finance, HR/Legal, Technology, Health Care, Life Sciences, Engineering, Energy, Supply Chain, Mining, Agribusiness and manufacturing.

Industry

Professional, scientific, and technical services

Company size

11 - 50 Employees

Headquarters location

San Mateo, CA, US

Year founded

2013

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