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Gpu Jobs (NOW HIRING)

Apple

GPU Benchmark Analysis Architect

Cupertino, CA · On-site

$206K/yr

Analyze GPU workloads performance and bottlenecks various devices. Implement and/or suggest improvements to remove the identified bottlenecks.Build targeted microbenchmarks to help understand ...

Mastech Digital

GPU RTL/FW Engineer

San Jose, CA · Remote

$120/hr

We are currently seeking a GPU RTL/FW Engineer for our client in the Electronics domain. We value our professionals, providing comprehensive benefits and the opportunity for growth. This is a ...

Nvidia

Senior GPU System Architect

Santa Clara, CA · Hybrid

Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming ...

Nvidia

OR · On-site

$129.40K - $175.80K/yr

NVIDIA's GPU Architecture Group is looking for architects to contribute to the design of our proprietary profiler subsystem, the apparatus embedded in every GPU that enables our profiling and ...

Protingent

GPU Design Verification Engineer

San Jose, CA · On-site

$90 - $100/hr

GPU Design Verification Engineer Position Description : Protingent Staffing has an exciting contract GPU Design Verification Engineer opportunity with our client located in San Jose, CA. * We are ...

Apple

GPU Power Efficiency Engineer

Austin, TX

As a member of the Silicon Technologies GPU team, you will work across functions including Architecture, Power, Performance, Silicon Validation, Thermals and Technology. The job involves analyzing ...

Qualcomm

GPU Compiler Engineer

San Diego, CA · On-site

Engineering Group, Engineering Group > GPU ASICS Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation ...

Apple

GPU Performance Analysis Engineer

San Diego, CA · On-site

The GPU Performance Analysis Engineer will be responsible for delivering high-quality, low-power graphics IP that meets our performance and power goals. You will collaborate closely with the ...

Qualcomm

GPU HLM Engineer

San Diego, CA · On-site

Engineering Group, Engineering Group > GPU ASICS Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation ...

Apple

GPU Benchmark Analysis Architect

Cupertino, CA

$212K - $386.30K/yr

Description Analyze GPU workloads performance and bottlenecks various devices. Implement and/or suggest improvements to remove the identified bottlenecks. Build targeted microbenchmarks to help ...

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How much do gpu jobs pay per hour?

As of May 30, 2026, the average hourly pay for gpu in the United States is $54.94, according to ZipRecruiter salary data. Most workers in this role earn between $54.09 and $64.90 per hour, depending on experience, location, and employer.

What is a GPU job?

A GPU job refers to a computing task that utilizes a Graphics Processing Unit (GPU) for acceleration. GPUs are specialized processors designed for parallel processing, making them ideal for tasks like machine learning, scientific simulations, and rendering. Many software applications offload intensive computations to GPUs to improve performance and efficiency. Jobs related to GPUs can involve programming, optimization, and hardware configuration in fields like AI, gaming, and data analysis.

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

To thrive as a GPU Engineer, you need a solid background in computer engineering, mathematics, and programming languages such as C++ or CUDA, often supported by a relevant degree. Familiarity with GPU architectures, parallel computing frameworks, and tools like OpenCL or Vulkan is typically required. Analytical thinking, problem-solving, and teamwork are essential soft skills for innovating and debugging complex systems. These abilities are crucial for optimizing performance, ensuring compatibility, and driving advancements in graphics and computational workloads.

What are some common challenges faced by GPU engineers when optimizing performance for various applications?

GPU engineers often encounter challenges such as balancing high computational throughput with power efficiency, ensuring compatibility across different hardware architectures, and optimizing code for parallel processing. They must also troubleshoot bottlenecks in memory bandwidth and latency that can impact performance. Collaboration with software developers and hardware architects is crucial to identify and resolve these issues, and staying updated with the latest advances in GPU technologies is essential for continued success.

What is a GPU?

A GPU, or Graphics Processing Unit, is a specialized electronic circuit designed to rapidly manipulate and alter memory to accelerate the creation of images and graphics for display. While originally developed for rendering graphics in video games and visual applications, GPUs are now widely used for parallel processing tasks in areas such as artificial intelligence, data science, and scientific computing. Their architecture allows them to handle thousands of operations simultaneously, making them much faster than traditional CPUs for certain workloads.

What is the difference between Gpu vs Data Scientist?

AspectGpuData Scientist
Required CredentialsKnowledge of parallel computing, programming skills (CUDA, OpenCL)Degree in Computer Science, Statistics, or related fields; programming skills
Work EnvironmentHardware-focused, technical, often in R&D or engineering teamsData analysis, modeling, research in various industries
Industry UsageTech, gaming, AI, machine learningFinance, healthcare, tech, marketing

Gpu specialists focus on hardware and parallel processing for computing tasks, while data scientists analyze data to extract insights. Both roles require technical skills, but Gpu roles are more hardware-oriented, whereas data scientists focus on data analysis and modeling.

More about Gpu jobs
What cities are hiring for Gpu jobs? Cities with the most Gpu job openings:
What are the most commonly searched types of Gpu jobs? The most popular types of Gpu jobs are:
What states have the most Gpu jobs? States with the most job openings for Gpu jobs include:
What job categories do people searching Gpu jobs look for? The top searched job categories for Gpu jobs are:
Gpu jobs near you
Infographic showing various Gpu job openings in the United States as of May 2026, with employment types broken down into 97% Full Time, 1% Part Time, and 2% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $114,281 per year, or $54.9 per hour.
GPU Benchmark Analysis Architect

GPU Benchmark Analysis Architect

Apple

Cupertino, CA • On-site

$206K/yr

Full-time

Posted 26 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

At Apple, our Platform Architecture group is responsible for connecting our hardware and software into one unified system. You'll collaborate with engineers across Apple to design how all of our technologies work in unison, drive development of our renowned system-on-a-chip architecture and develop forward-looking prototype systems and software...Our team is responsible for improving Apple silicon and Apple products through targeted analysis of GPU workloads and proposing improvements at all aspect of the GPU subsystem...In this role, you will analyze existing and new workloads to identify performance bottlenecks in the hardware and/or software architecture and implementation. Working with your colleagues, you will address performance limitations and provide recommendations for Apple hardware and software improvements...In addition to working directly with developers, you will identify patterns of current and emerging workloads, analyze their performance on Apple silicon, Provide feedback to the silicon and software teams for potential improvements.
Analyze GPU workloads performance and bottlenecks various devices. Implement and/or suggest improvements to remove the identified bottlenecks.Build targeted microbenchmarks to help understand strengths and weaknesses of various GPUs and usage patterns.Guide the development of forward looking GPU workloads to best represent where the industry is headed.Help improve Apple products by identifying areas of improvements at the GPU architecture and implementation, driver, compiler and API level.
Bachelor's degree or equivalent job-related experience in Computer Engineering, Computer Science, or a related field20+ years of work experience in GPU software performance optimizationKnowledge of computer architecture fundamentalsBackground in software engineering, performance analysis tools, methods, and the performance optimization processExperience and proficiency in some of the C/C++ family programming languages, and scripting languages such as PythonExperience and proficiency with all popular high level graphics APIsExperience in software development for GPUsExperience with AI, graphics, or other GPU performance benchmarks and workloads
Someone who views performance problems as a challenge, a puzzle to solveExperience with GPU performance toolsExperience profiling GPU workloads to understand performance issuesSystem wide understanding of data and command flow: from developer to silicon and the layers in between including high level graphics APIs, driver, firmware, compiler down to the GPU hardware implementationAbility to prototype and benchmark algorithms on GPU,, analyze performance metrics, and create high-level complexity modelsKnowledge of operating system internals and compiler technologiesTechnical aptitude and curiosity. Ability to collaborate effectively with team members, partners, and stakeholders

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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