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Gpu Compiler Engineer Jobs (NOW HIRING)

Engineering Group, Engineering Group > GPU ASICS Engineering General Summary: As a leading ... and compiler software to support GPU products. • Writes detailed technical documentation and ...

GPU Compiler Lead

Sunnyvale, CA · On-site

$175K - $250K/yr

Lead internal teams of compiler engineers and coordinate with partners and external contributors ... Deep understanding of GPU architectures * Experience with code analysis and IR (LLVM, MLIR, ISPC)

An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ... This team is comprised of worldwide leading compiler engineering experts who provide leading edge ...

OR · On-site

An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ... This team is comprised of worldwide leading compiler engineering experts who provide leading edge ...

Senior Compiler Engineer

Santa Clara, CA · On-site

$149.60K - $284.58K/yr

Collaborate with GPU hardware architects to define new microarchitecture features and instruction set architecture (ISA) for future Intel GPUs * Conduct generated code analysis to identify ...

We are searching for a Senior Backend Compiler Engineer with experience in LLVM code generation for an exciting and fun role in our GPU Software organization. Our Compiler team is responsible for ...

Engineering Group, Engineering Group > GPU ASICS Engineering General Summary: Join Qualcomm Technologies Inc GPU Compiler team to develop software solutions for the world class GPU products. Adreno ...

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Gpu Compiler Engineer information

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How much do gpu compiler engineer jobs pay per year?

As of May 29, 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 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.

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 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 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.

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:
What job categories do people searching Gpu Compiler Engineer jobs look for? The top searched job categories for Gpu Compiler Engineer jobs are:
Infographic showing various Gpu Compiler Engineer job openings in the United States as of May 2026, with employment types broken down into 3% As Needed, 82% Full Time, 6% Temporary, 3% Contract, and 6% Nights. Highlights an 30% Physical, and 70% Hybrid job distribution, with an average salary of $83,291 per year, or $40 per hour.
GPU Compiler Engineer

GPU Compiler Engineer

Qualcomm

San Diego, CA • On-site

Full-time

Posted yesterday


Job description

Company:
Qualcomm Technologies, Inc.
Job Area:
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 experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm GPU Engineer, you may architect, design, implement, verify, and/or optimize the performance and power of GPU cores. Qualcomm Engineers collaborate with cross-functional teams to meet and exceed customer needs.
Minimum Qualifications:
• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
OR
Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 3+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
Preferred Qualifications:
• Master's degree or PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
• 2+ years of relevant GPU experience.
• 1+ year of work experience in a role requiring interaction with senior leadership (e.g., Director and above).
• 1+ year in a technical leadership role with direct reports (only applies to positions with direct reports).
Principal Duties and Responsibilities:
• Leverages advanced GPU knowledge and experience to architect, design, implement, verify, and/or optimize the performance and power of GPU cores.
• Builds functional model simulations, develops software, and tests for various graphics to verify correctness and ensures advanced performance and power goals are met.
• Designs, programs, and runs comprehensive graphics tests using tools and methods under different scenarios and benchmarks to verify functionality, performance, power, and stability and identify issues.
• Collaborates with cross-functional teams, third-party vendors, and external users to guide implementation and ensure alignment with needs and goals.
• Develops critical driver and compiler software to support GPU products.
• Writes detailed technical documentation and feature descriptions for complex GPU projects to guide users and/or customers to implement output.
Level of Responsibility:
• Works independently with minimal supervision.
• Provides supervision/guidance to other team members.
• Decision-making may affect work beyond immediate work group.
• Requires verbal and written communication skills to convey information. May require basic negotiation, influence, tact, etc.
• Has a moderate amount of influence over key organizational decisions.
• Tasks require multiple steps which can be performed in various orders; some planning, problem-solving, and prioritization must occur to complete the tasks effectively.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$161,800.00 - $242,600.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.

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About Qualcomm

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Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1985