Posted 2 months ago
AI/Machine Learning Engineer (Embedded Systems, Inference Efficiency)
@ Qualcomm Canada ULC
Markham, Ontario
Overview
Qualcomm Canada ULC is hiring an AI/Machine Learning Engineer for its Low Power AI Solution team to research model efficiency, compression and ML system optimization for on-device inference. The work covers efficient architecture design, quantization, pruning, distillation, compiler stack optimization and software-hardware co-design for Qualcomm AI accelerators. The posting states a salary range of $114,400 to $164,400 and a discretionary bonus with RSU grants.
Responsibilities:
- Conduct research on inference efficiency and ML system optimization
- Prototype software-hardware co-design solutions for low-power AI accelerators
- Collaborate with modeling, compiler and hardware teams
- Influence future accelerator features and model deployment
Requirements summary:
- Proven research record in inference efficiency and ML systems
- Deep expertise in model compression and efficient inference
- Strong compiler stack and ML system optimization background
- Hands-on model development pipeline experience for AI accelerators
Tools & skills
Benefits mentioned
Source and dates
Source type not verified · eightfold
- Employer posting date
- 2026-09-16
- First seen by our source
- 2026-10-09
- Source record updated
- 2026-11-07
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Mid level |
| Department | Software development |
| Experience | 2+ years |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Encouraged to apply | People with disabilities |
| Education | Bachelor’s degree (required), Master’s degree (preferred), Doctorate (preferred) |
| Fields of study | Computer Science, Engineering, Information Systems, Electrical Engineering |
| Perks mentioned | Performance bonus, Stock or equity |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Qualcomm Canada ULC
| Field | Value |
|---|---|
| Open jobs on Jobsy | 107 |
Company:
Qualcomm Canada ULCJob Area:
Engineering Group, Engineering Group > Machine Learning EngineeringGeneral Summary:
As a member of the Low Power AI Solution team, you will conduct advanced research on model efficiency, model compression techniques, and ML system optimization to push the boundaries of efficient on‑device inference. You will lead and contribute to high-impact research initiatives, understand hardware–software interactions at a fundamental level, and collaborate with global teams to develop systems that shape future Qualcomm AI accelerator capabilities. New Position
Key Responsibilities
- Conduct cutting-edge research in inference efficiency and ML system optimization: efficient architecture design, model compression, PEFT, compiler stack optimization etc.
- Prototype and develop system solutions with software–hardware co-design to align architectural choices, dataflows, and memory behavior with Qualcomm’s low-power AI accelerators for optimal model deployment
- Collaborate closely with modeling, compiler, and hardware teams to convert research into production-ready low power AI solutions, enabling real-world applications and commercial impact.
- Influence future accelerator features and model deployment and contribute to Qualcomm’s strategic initiatives in efficient AI and embedded intelligence.
Requirements
- Proven research excellence on inference efficiency and ML system, demonstrated by publications, community contributions, or equivalent evidence of impact.
- Deep expertise in neural network architectures, model compression (e.g., quantization, pruning, knowledge distillation) and efficient inference algorithm
- Strong background on compiler stack and ML system optimization for AI accelerators (e.g., graph transformation, graph tiling and scheduling, tensor layout/memory optimization)
- Strong understanding of Machine Learning fundamentals, strong programming skills with ML frameworks
- Hands-on experience with model development pipelines for AI accelerator, including training, fine-tuning, evaluation, and performance optimization.
Preferred Qualifications
- PhD in Computer Science, Electrical Engineering, or related fields or MS with AI research, or related work experience.
- Extensive experience in deep learning research and impactful publications in top-tier machine learning venues (NeurIPS, ICML, ICLR, CVPR, ICCV, ACL, EMNLP etc.).
- Experience in on-device model deployment and optimization algorithms for AI hardware accelerators
- Experience working with a variety of stakeholders and ability to communicate complex outcomes to a wide range of audiences.
Minimum Qualifications:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.OR
Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field.
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:
$114,400.00 - $164,400.00The 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.
Journal
Only you can see this. Kept on this device, and in your account when you sign in.