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Gpgpu Jobs (NOW HIRING)

Qualcomm

GPU AI Compiler Engineer

San Diego, CA · On-site

Required : • Strong C/C++ programming skills • Familiarity with LLVM • Familiarity with a GPGPU API such as SYCL, CUDA or OpenCL. • Understanding of data structures and algorithms, including ...

Qualcomm

GPU AI Compiler 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 * 2+ years industry experience Preferred Skills:

Aitech

$90K - $125K/yr

... GPGPU-based AI applications, and advanced cybersecurity for mission-critical systems. Joining us means you'll be working at the forefront of technology with projects that span across land, sea, air ...

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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 Jun 24, 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 engineers make $500,000?

Senior engineers in specialized fields such as software engineering, hardware engineering, or machine learning often reach or exceed a $500,000 annual salary, especially with experience, advanced skills, and in high-demand industries like technology or finance. Executive or leadership roles in engineering companies can also command this level of compensation, often including bonuses and stock options.

What is an example of a GPGPU?

A GPGPU (General-Purpose Graphics Processing Unit) is a GPU used for non-graphics tasks such as scientific computing, data analysis, or machine learning. An example is NVIDIA's CUDA-enabled GPUs, which allow developers to perform parallel processing for complex computations.

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.

What jobs make $10,000 a month without a degree?

In the field of GPU programming or related tech roles, high-paying jobs such as freelance GPGPU developers, specialized software engineers, or consultants can earn $10,000 or more monthly through project-based work or contracts. These roles often require strong skills in parallel computing, CUDA or OpenCL, and experience with high-performance hardware, but may not require a formal degree if expertise is demonstrated. Success in such positions depends on skill level, portfolio, and industry demand.

Why is Gen Z struggling to get jobs?

Gen Z faces challenges in securing jobs due to high competition, evolving skill requirements such as proficiency in digital tools and programming, and economic factors like inflation and recession concerns. For roles like GPGPU development, employers often seek candidates with strong technical skills, relevant certifications, and experience with parallel computing environments.
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Gpgpu jobs near you
Infographic showing various Gpgpu job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $141,171 per year, or $67.9 per hour.
Senior Embedded Software Engineer - Python, C++, LabView GPU/GPGPU

Senior Embedded Software Engineer - Python, C++, LabView GPU/GPGPU

Technology Navigators

Austin, TX

$122K - $161K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Job description

Company Description

Founded in 1999, Technology Navigators is an Austin born and based high-tech recruiting and staffing firm that has experienced and professional recruiters who know the people you need to know to grow! We place high value on our relationships so candidates can feel confident that our staff of professionals will keep in close contact with you throughout your search and beyond. Technology Navigators values our candidates' unique talents, skills and experiences and strive to showcase their best qualities to our clients.

Job Description

No sponsorship available. No third-party candidates.

Our client is an industry-leading organization that is revolutionizing the recycling industry by combining cutting-edge data analytics with artificial intelligence to change the way metal is salvaged. This company is passionate about creating a better, more sustainable future and has the technology to make it happen.

This is your chance to get in on the ground floor of a company with top-of-the-line technology, incredible benefits, and a fun, collaborative work culture. They need you, a highly experienced Senior Software Engineer, to join the technical team located in scenic Austin, Texas.

What you get to do:

-Optimize the codebase for enhance availability, increased reliability, and an improved user experience

-Deliver quality documentation of Twitch and Clip software's logical functionality

-Develop and deploy sensor fusion sorter prototype using C++ and Python

-Collaborate with cross-functional teams to provide technical direction and leadership

-Take part in code reviews and testing initiatives to maintain code quality

Qualifications

What you need to succeed:

-6+ years of embedded software engineering experience working with Python and C++ multithreaded software architecture

-Extensive hands-on experience with DIO/DAQ and GPU/GPGPU

-Demonstrable experience in all phases of the software development lifecycle (SDLC) in Agile environment(s)

-Strong working knowledge of Azure, Azure DevOps, and embedded systems

-Excellent documentation skills

Additional Information

What's in it for you:

This company has an excellent benefits package to enable quality care and healthy work/life balance for its valued employees. You'll be eligible for health, dental, vision, and life insurance packages (including an HSA option), 401k with company matching, ample PTO, employee assistance programs, a retirement plan, tuition reimbursement, and a referral program.

Don't wait - apply online today to learn more about this new opportunity in Austin, Texas!

Apply