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Gpgpu Jobs (NOW HIRING)

3dB Labs

C++ Software Engineer

West Chester, OH · On-site

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 ...

STR

Senior Software Engineer

Woburn, MA · On-site +1

$134K - $184K/yr

GPGPU (CUDA) experience; Intel math and performance optimization libraries (MKL, IPP); Generic math libraries (BLAS, LAPACK) * Software development tools including continuous build, unit testing ...

Tencent

Sr. Cloud AI Infrastructure Engineer

Palo Alto, CA · Hybrid

$145K - $273K/yr

Expertise in GPGPU architectures or other mainstream AI accelerator architectures . 3.Programming & Frameworks: Proficient in parallel computing frameworks; deep understanding of low-level operator ...

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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.
More about Gpgpu jobs
What cities are hiring for Gpgpu jobs? Cities with the most Gpgpu job openings:
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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.
Software Engineer, C++ Middleware and Runtime Infrastructure

Software Engineer, C++ Middleware and Runtime Infrastructure

PlusAI

Santa Clara, CA • On-site

$120K - $200K/yr

Full-time

Posted 4 days ago

Job description

You will develop and optimize the core infrastructure that facilitates reliable, low-latency execution of on-vehicle robotics software. Your mission extends beyond building a rock-solid foundation for autonomous driving - you will also equip engineers with the tools needed to analyze system behavior, identify performance bottlenecks, and enhance robustness.
In this role, you will contribute to existing frameworks, libraries, and tools while also designing and implementing new components across various mission-critical domains.
Responsibilities:
  • Design and optimize low-latency interprocess communication and data flow monitoring.
  • Develop high-performance event logging and structured telemetry.
  • Implement safety-enhanced memory allocators and efficient memory provisioning policies.
  • Build lock-free data structures and algorithms to support real-time system requirements.
  • Work on network communication and coherency protocols.
  • Develop on-the-fly component health monitoring and rapid response mechanisms for critical events.
  • Manage on-vehicle configurations and system state validation.
  • Optimize low-level OS interactions and fine-tune system performance.
  • Ensure that your work is performed in accordance with the company's Quality Management System (QMS) requirements and contribute to continuous improvement efforts.
  • Ensure team compliance with QMS, monitor quality, and drive process improvements.

Required Skills:
  • BS in Computer Science, Electrical Engineering, or related field.
  • Solid hands-on coding experience using C++14(or later)
  • Strong understanding of Linux development tools, including build systems, compilers, debuggers, and performance analyzers.
  • Excellent written and verbal communication skills.
  • Proactive problem-solving mindset: ability to identify, propose, and implement solutions.

Preferred Skills:
  • Experience in writing, debugging, and profiling multithreaded C++ applications.
  • Familiarity with robotics-related libraries such as ROS.
  • Knowledge of real-time OS, database internals, network programming, GPGPU, or robotics.

Salary Range:
  • $120,000 - $200,000 a year

Our compensations (cash and equity) are determined based on the position, your location, qualifications, and experience.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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