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Temporary Gpu Programming Jobs (NOW HIRING)

quadric, Inc

Design Verification Intern

Burlingame, CA · On-site

$45 - $60/hr

... Engineering, or a related field. * Familiarity with verification methodologies for CPU or GPU ... The hourly rate for this temporary internship position is $45.00/hour to $60.00/hour. The actual ...

quadric, Inc

Design Verification Intern

Burlingame, CA · On-site

$45 - $60/hr

... Engineering, or a related field. * Familiarity with verification methodologies for CPU or GPU ... The hourly rate for this temporary internship position is $45.00/hour to $60.00/hour. The actual ...

quadric, Inc

Design Verification Intern

Burlingame, CA · On-site

$45 - $60/hr

... Engineering, or a related field. * Familiarity with verification methodologies for CPU or GPU ... The hourly rate for this temporary internship position is $45.00/hour to $60.00/hour. The actual ...

Deepslate

Site Reliability Engineer (m/f/d)

New Bremen, OH · On-site +1

$59.25 - $78.50/hr

Bulletproof Our Voice AI Engine You don\'t build temporary workarounds; you build automated ... Experience managing GPU workloads and scaling AI/ML infrastructures. Background in network ...

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How much do temporary gpu programming jobs pay per year?

As of May 30, 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
Design Verification Intern

Design Verification Intern

quadric, Inc

Burlingame, CA • On-site

$45 - $60/hr

Temporary

Posted 12 days ago

Job description

Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code.
Note: Our preference is for this internship to be based out of our Burlingame, California office. Candidates should be based in the Bay Area or able to relocate for the internship period and available to work on site.
Requirements
Required
  • Currently pursuing a Bachelor's, Master's, or PhD in Computer Science, Electrical Engineering, or a related field.
  • Familiarity with verification methodologies for CPU or GPU designs.
  • Proficient in either SystemVerilog, SystemC or C/C++. UVM is a plus.
  • Prepared to collaborate with architects and designers to document test plans, write and debug tests, and generate coverage.
  • Demonstrated capability in problem-solving, debugging, and clear technical communication.

Preferred
  • Coursework or project experience with Computer Architecture, RTL Design, ML systems, or performance engineering.
  • Exposure to assembly or low-level code generation.
  • Adept with scripting languages like Python and using LLMs to get things done.

Benefits
At Quadric, we value Integrity, Humility, and Happiness. What we expect from one another is simple and clear: Initiative, Collaboration, and Completion. We are a collaborative team focused on building something extraordinary in the edge computing space.
The hourly rate for this temporary internship position is $45.00/hour to $60.00/hour. The actual rate offered will depend on a number of factors, including the specific level of the role, years and depth of relevant experience and education, technical skills and competencies, and work location.
Quadric interns receive hands-on experience working alongside industry experts in AI and semiconductor technology, with access to mentorship and meaningful project ownership from day one.
Founded in 2016 and based in downtown Burlingame, California, Quadric is building the world's first supercomputer designed for the real-time needs of edge devices. Quadric aims to empower developers in every industry with superpowers to create tomorrow's technology, today. The company was co-founded by technologists from MIT and Carnegie Mellon, who were previously the technical co-founders of the Bitcoin computing company 21.
Quadric is proud to be an equal opportunity employer. We are committed to creating an inclusive environment where people from all backgrounds can do their best work. We consider all qualified applicants without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
If this role resonates with you, we encourage you to apply even if your experience does not perfectly match every qualification. We value potential, curiosity, and a willingness to learn just as much as direct experience. Skills and growth come in many forms, and we would love to hear your story.
By submitting an application, you acknowledge that Quadric will collect and process your personal information as part of the hiring process. Please review our Privacy Policy to understand how we handle your data.
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About Quadric.io

Sourced by ZipRecruiter

Industry

Semiconductor and electronic component manufacturing

Company size

11 - 50 Employees

Headquarters location

Burlingame, CA, US

Year founded

2016

Social media

Twitter

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