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Gpu Compiler Engineer Jobs (NOW HIRING)

What you could be doing as a Graduate GPU Modeling and Compiler Engineer? Your job responsibilities will be diverse including architecture, technology research, hands-on prototyping, experimental ...

Senior Compiler Engineer - DL

Santa Clara, CA · On-site

$122K - $168K/yr

The role involves analyzing deep learning networks, developing compiler optimization algorithms ... GPU architecture • CUDA or OpenCL programming experience • Experiences in systems with ...

GPU compiler test engineer Location: San Diego, CA Experience: 4+ Years Duration: Full Time Minimum Qualifications Required: Good hands on experience of Software Releases, Integration and ...

GPU compiler test engineer Location: San Diego, CA Experience: 4+ Years Duration: Full Time Minimum Qualifications Required: Good hands on experience of Software Releases, Integration and ...

Senior Compiler Engineer Infrastructure

Redmond, WA · On-site +1

$121K - $165K/yr

Our compiler organization makes its mark on every GPU NVIDIA produces. By improving how our internal compiler stacks align with open source and by modernizing the tools our developers rely on, you ...

Senior Compiler Engineer Infrastructure

Santa Clara, CA · On-site +1

$127K - $173K/yr

Our compiler organization makes its mark on every GPU NVIDIA produces. By improving how our internal compiler stacks align with open source and by modernizing the tools our developers rely on, you ...

Senior Compiler Engineer - AI

Austin, TX · On-site

$121K - $160K/yr

An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ... We are seeking an AI Compiler Engineer with deep expertise in compiler technologies to join our ...

Senior Compiler Engineer Infrastructure

Austin, TX · On-site +1

$107K - $146K/yr

Our compiler organization makes its mark on every GPU NVIDIA produces. By improving how our internal compiler stacks align with open source and by modernizing the tools our developers rely on, you ...

Senior Compiler Engineer - AI

Redmond, WA · On-site

$117K - $160K/yr

NVIDIA is a leader in computer graphics and AI technology, seeking a Senior Compiler Engineer with ... GPU architecture. • Demonstrated proficiency in Python and C/C++. • Strong mathematical and ...

Senior DL Compiler Engineer -CUDA Tile

Redmond, WA · On-site

$112K - $152K/yr

... GPU architectures. Responsibilities : • Design and implement compiler transformations • Develop MLIR-based dialects and lowering passes • Optimize the performance of tile-based kernels to ...

Senior Compiler Engineer - AI

Santa Clara, CA · On-site

$143K - $189K/yr

An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ... We are seeking an AI Compiler Engineer with deep expertise in compiler technologies to join our ...

Senior Compiler Engineer - AI

Redmond, WA · On-site

$137K - $180K/yr

An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ... We are seeking an AI Compiler Engineer with deep expertise in compiler technologies to join our ...

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Gpu Compiler Engineer information

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How much do gpu compiler engineer jobs pay per year?

As of Jul 11, 2026, the average yearly pay for gpu compiler engineer in the United States is $83,291.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,500.00 and $108,000.00 per year, depending on experience, location, and employer.

What are GPU Compiler Engineers?

GPU Compiler Engineers are specialized software engineers who design, develop, and optimize compilers that translate high-level programming code into machine code that runs efficiently on Graphics Processing Units (GPUs). Their work enables developers to harness the full power of GPUs for tasks such as graphics rendering, scientific computing, and machine learning. These engineers often work closely with hardware teams to ensure compatibility and performance, and they play a critical role in advancing GPU technology.

What are some common challenges faced by GPU Compiler Engineers in optimizing code for different hardware architectures?

GPU Compiler Engineers often encounter challenges when adapting and optimizing code for a wide variety of GPU architectures. Each hardware platform may have unique instruction sets, memory hierarchies, and performance characteristics, requiring tailored compiler optimizations. Balancing performance, portability, and correctness is an ongoing challenge, especially when supporting multiple vendors or generations of hardware. Close collaboration with hardware engineers and performance analysts is essential to ensure the compiler produces efficient code that leverages the strengths of each GPU architecture.

What is the difference between Gpu Compiler Engineer vs Gpu Software Engineer?

AspectGpu Compiler EngineerGpu Software Engineer
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related; knowledge of compiler designBachelor's or Master's in Computer Science or related; strong programming skills
Work EnvironmentResearch and development teams focused on compiler optimization and hardware integrationSoftware development teams working on GPU applications, drivers, or SDKs
Industry UsagePrimarily in hardware and compiler companies, GPU manufacturers

The Gpu Compiler Engineer specializes in developing and optimizing compilers for GPU hardware, focusing on translating high-level code into efficient machine instructions. In contrast, the Gpu Software Engineer works on creating GPU-related software, such as drivers, SDKs, or applications. While both roles require strong programming skills and knowledge of GPU architecture, the compiler engineer emphasizes compiler design and optimization, whereas the software engineer focuses on software development and integration.

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

To thrive as a GPU Compiler Engineer, you need a strong background in computer science, with expertise in compiler design, parallel programming, and GPU architectures, typically supported by a relevant degree. Familiarity with tools and languages such as LLVM, CUDA, OpenCL, and performance profiling systems is essential. Analytical thinking, problem-solving ability, and effective collaboration are crucial soft skills for success in this role. These skills ensure the development of high-performance, reliable compiler solutions that optimize GPU-based applications and support innovation in computing.
More about Gpu Compiler Engineer jobs
What cities are hiring for Gpu Compiler Engineer jobs? Cities with the most Gpu Compiler Engineer job openings:
What states have the most Gpu Compiler Engineer jobs? States with the most job openings for Gpu Compiler Engineer jobs include:
Infographic showing various Gpu Compiler Engineer job openings in the United States as of July 2026, with employment types broken down into 9% As Needed, 89% Full Time, 1% Part Time, and 1% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $83,291 per year, or $40 per hour.
Senior GPU Modeling & Compiler Engineer

Senior GPU Modeling & Compiler Engineer

ARM

Austin, TX • Hybrid

$161K - $218K/yr

Other

Posted 7 hours ago


Job description

We’re looking to hire a junior to mid-level candidate to join out GPU Architecture team at Arm in Austin, TX.
The ideal candidate will have:
* A strong understanding of GPU architecture
* Experience modeling new architectural features in a large C++ codebase
* Working knowledge of compiler technology, with the ability to make small compiler changes and validate them through testing
 
Arm is an exciting place to work, offering the opportunity to help shape the future of GPU technology alongside a talented and collaborative team.  If this sounds like a good fit for your background and interests, feel free to reach out for more details.

The Central Technology Team within Arm develops key technologies which will form the foundation of future products.

You will join a multinational, collaborative and highly motivated Graphics Hardware Architecture team in Central Technology to help craft the direction of our world leading Mali™ Graphics products. The Mali™ Graphics Processor is the #1 shipping GPU.

What you could be doing as a Graduate GPU Modeling and Compiler Engineer?


Your job responsibilities will be diverse including architecture, technology research, hands-on prototyping, experimental investigations, engaging with product groups, and working closely together with the engineering team to deliver premier IP.

You can expect to work with leading GPU Architects to prototype architectural improvements in the GPU, validate and propose innovative architecture ideas. Your work will make a difference and enable Arm to deliver industry leading future GPU IPs for generations!

We are looking for individuals who:


Hold (or are on track to hold) a PhD degree or equivalent experience in Computer Science, Computer or Electrical Engineering before September 2026. Candidates with alternative degrees, such as a Masters, will also be considered with relevant industry experience.

  • Strong academic background in high performance computer architecture and a clear understanding of the tradeoffs involved between GPU and CPU architectures.
  • Strong programming ability in C,/C++, as well as scripting languages, and the ability to work efficiently with large codebases and debug complex problems.
  • Proficiency in hardware/software development.

Qualities that will help your application stand out:

  • Timing accurate simulator development and architectural simulations.
  • Knowledge of compiler internals such as register allocation methods.
  • Familiarity with the vulkan graphics pipeline.
  • Personal projects, hackathons, or internships etc., curiosity about technology outside of the classroom, and a willingness to learn unfamiliar tools and systems. 
  • A history of thinking creatively, communicating and presenting effectively, together with a practical, organized and analytical approach to work.


Additional Information:


We encourage early applications as we review them on a first come/first served basis.

In Return:


In addition to a competitive salary and comprehensive rewards package, you'll also receive the support, autonomy and opportunity to excel in your career.

With a mid-year, and year-end review you'll have two windows each year to progress recognizing the pace at which you could grow. Attend our 'Grad-teach-Grads' workshops, guest speaker series and various social events to expand your knowledge. Want to take this a step further? Join our Graduate Committee and home in on your planning, networking and co-ordination skills.

You'll also be invited to our exclusive Global Graduate Conference (GGC)! A yearly occurrence exclusive for Graduates allowing you to hear from executive members, inspiring speakers and make connections for life.

With many of our leaders and technical specialists having originally joined as a Graduate, will you be next?

#LI-MX1


Salary Range:$161,500-$218,500 per year

We value people as individuals and our dedication is to reward people competitively and equitably for the work they do and the skills and experience they bring to Arm. Salary is only one component of Arm's offering. The total reward package will be shared with candidates during the recruitment and selection process.

Accommodations at Arm

At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.

Hybrid Working at Arm

Arm's approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team's needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.

Equal Opportunities at Arm

Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don't discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Employment Type: Established