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Qualcomm

GPU Compiler Engineer - Multiple Levels

Markham, ON, Canada

Pay: $121,000.00 - $171,000.00
Job type: Full-time
Posting language: English
Posted: Sep 17, 2026

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Original job description

Company:

Qualcomm Canada ULC

Job Area:

Engineering Group, Engineering Group > GPU ASICS Engineering

General Summary:

*********Open to hiring in US and Canada

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.

New Headcount

Minimum Qualifications:

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ 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 1+ year of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.

Preferred Qualifications:

Master's degree or PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
10+ years of compiler experience, or 10+ years of compiler + GPU related experience (e.g., driver or game experience).
2+ years 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:

Applies GPU knowledge to assist in the architecture, design, implementation, verification, and/or optimization of the performance and power of GPU cores.
Assists in building functional model simulations, developing software, and testing for various graphics to verify correctness.
Programs and runs graphics tests using tools and methods to assess functionality, performance, and power.
Collaborates with team members to guide implementation and ensure alignment with needs and goals.
Assists in the development of driver and compiler software to support GPU products.
Writes technical documentation and feature descriptions for GPU projects.

Applicants: 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 [email protected] 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).

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.

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.

Pay range and Other Compensation & Benefits:

$121,000.00 - $171,000.00

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.

If you would like more information about this role, please contact Qualcomm Careers.

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More about this job

Responsibilities

The engineer will architect, design, and optimize GPU cores while collaborating with cross-functional teams to meet performance and power goals. They will also assist in developing driver and compiler software and perform functional model simulations to verify graphics correctness.

Requirements

Candidates must hold a degree in Computer Engineering, Computer Science, or Electrical Engineering with relevant industry experience. Preferred qualifications include 10+ years of experience in compiler or GPU-related fields and experience in technical leadership roles.

Skills

GPU architecture
Compiler design
Software engineering
Hardware engineering
Systems engineering
Performance optimization
Power optimization
Functional model simulation
Graphics testing
Driver development
Technical documentation
Leadership
Cross-functional collaboration

Benefits

Annual discretionary bonus program
Annual RSU grants
Competitive benefits package

Visa sponsorship

Not detected in the job text

Keywords

GPU
Compiler
ASIC
Engineering
Software Engineering
Hardware Engineering
Systems Engineering
Graphics
Driver Development
Performance Optimization
Power Optimization
Functional Modeling
Simulation
Technical Leadership
Qualcomm
Computer Engineering
Computer Science
Electrical Engineering
RSU
Architecture

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