Talent.com
Senior Research Engineer, Machine Learning Systems
Senior Research Engineer, Machine Learning SystemsQualcomm • Markham, Ontario, Canada
No longer accepting applications
Senior Research Engineer, Machine Learning Systems

Senior Research Engineer, Machine Learning Systems

Qualcomm • Markham, Ontario, Canada
30+ days ago
Job type
  • Full-time
Job description


Company:

Qualcomm Canada ULC

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

As a member of Low Power AI solution team, you will play a critical role at deploying AI models on Qualcomm's low power AI accelerator. The position focuses on mapping high level machine learning operators to low level hardware instructions, involving various optimization techniques: graph transformation, scheduling, memory planning, individual operator implementation, quantization, etc. Your expertise at machine learning is expected to enhance inference efficiency and accuracy of different models on Qualcomm's hardware architecture. New Position.

Key Responsibilities

  • Explore and prototype novel or emerging ML model architectures optimized for on-device, low-power inference, including vision, audio, and multimodal workloads.
  • Drive model–hardware co-design by aligning architectural choices, operators, dataflows, and memory behavior with Qualcomm’s low-power AI accelerators.
  • Design, evaluate, and refine quantization, mixed-precision, sparsity, and compression techniques, with careful analysis of accuracy–performance–power trade-offs.
  • Develop and optimize computational graphs, including operator fusion, scheduling strategies, and memory-aware execution.
  • Conduct rigorous performance and accuracy investigations using profiling tools, hardware counters, and targeted experiments.
  • Collaborate closely with compiler, runtime, and hardware teams to convert exploratory prototypes into production-viable execution paths.
  • Influence future accelerator features, compiler capabilities, and deployment strategies through technical insights and experimental results.

Required Skills & Experience:

  • Strong track record in machine learning research or advanced applied ML development, with demonstrated focus on inference efficiency.
  • Deep understanding of ML model architecture, operator behavior, and inference-time performance characteristics.
  • Hands-on experience with quantization and reduced-precision inference (e.g., INT8/INT4, FP8/FP4, mixed precision, PTQ/QAT).
  • Proven ability to prototype, analyze, and iterate on ideas under strict compute, memory, and power constraints.
  • Proficiency in Python and C/C++, with comfort working across modeling, systems, and low-level execution layers.
  • Strong background in computer architecture and hardware-aware optimization, particularly for AI accelerators.
  • Ability to reason about computational graphs, tensor layouts, and memory movement at a detailed level.

Preferred Qualifications:

  • Master’s degree in Computer Science, Engineering, Information Systems, or a related field, and 1+ year of experience in Hardware Engineering, Software Engineering, Systems Engineering, or a related area; OR PhD in Computer Science, Engineering, Information Systems, or a related field
  • Experience targeting or co-designing for custom accelerators, NPUs, DSPs, or GPUs.
  • Familiarity with compiler-assisted ML optimization, graph transformations, or operator scheduling.
  • Experience with multimodal or sensor-driven models.
  • Evidence of technical leadership, such as driving complex investigations, publishing, patenting, or shaping internal technical direction.
  • Comfort operating in ambiguous, research-heavy problem spaces with minimal upfront specification.

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 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).

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 - $164,400.00

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.

.
Create a job alert for this search

Senior Research Engineer, Machine Learning Systems • Markham, Ontario, Canada

Similar jobs

Machine Learning Manager (Pricing model)

SPECTRAFORCEGreater Toronto Area, Canada, Canada
Full-time

Job Title: Machine Learning Manager (.Location: Toronto, ON, Hybrid- 2-3 days onsite.This role is a shared service supporting all LOBs.Area of focus- Pricing model/ discretionary customer pricing s...Show more

 • Promoted

Senior Research Engineer, Machine Learning Systems

The Institute for Performance and LearningToronto
Full-time

Engineering Group, Engineering Group >.As a member of the Low Power AI solution team, you will play a critical role at deploying AI models on Qualcomm's low power AI accelerator.The position focuse...Show more

 • Promoted

Senior Machine Learning Engineer

WorkdayToronto
Full-time

At Workday, we are building the intelligence layer that powers the future of work for millions of global users.Our AI organization is responsible for seamlessly embedding cutting‑edge machine learn...Show more

 • Promoted

Senior Machine Learning Engineer

Blue JToronto, Ontario, Canada
Full-time

Blue J’s ambition is to be the world leader in generative AI for tax experts.Our AI tax research software is widely regarded as the best in the market.We are racing ahead with an exciting product d...Show more

 • Promoted

Senior Machine Learning Engineer for Personalization Systems Development

Loblaw Companies LimitedToronto, ON, CA
Full-time

Transform the eCommerce landscape as a Senior Machine Learning Engineer.Lead innovative personalization systems, including next-gen recommendation engines and generative AI projects using massive-s...Show more

 • Promoted

Senior Machine Learning Engineer

TEEMAToronto, ON, CA
Full-time +1

Senior Machine Learning Engineer TSD.Full-time, 1 Permanent Vacancy.Monday to Friday, 35 hours per week.The City of Toronto is expanding its AWS based Enterprise Data Platform is seeking a Senior M...Show more

 • Promoted

Senior Machine Learning Engineer

Insight GlobalToronto, ON, CA
Full-time

You’ll join a collaborative, fast‑paced team working on cutting‑edge ML problems that directly impact how millions of Canadians shop.We offer competitive compensation, continuous learning opportuni...Show more

 • Promoted

Senior Machine Learning Engineer Focused on Actuarial AI Applications

Manulife FinancialToronto
Full-time

Advance actuarial intelligence with your expertise as a Senior Machine Learning Engineer.Create state-of-the-art AI applications that tackle complex actuarial challenges and enhance business decisi...Show more

 • Promoted

Senior Machine Learning Engineer - Platform

SamsaraToronto, Ontario, Canada
Full-time

Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, a platform that enables organizations that depend on physical operations to harness IoT data to develop actionable ...Show more

 • Promoted

Senior Machine Learning Engineer - Systems

EvenUpToronto, ON, CA
Full-time

Senior Machine Learning Engineer - Systems.EvenUp is on a mission to close the justice gap using technology and AI.We empower personal injury lawyers and victims to get the justice they deserve.Our...Show more

 • Promoted

Senior Engineer Specializing in AI & Machine Learning Systems

Publicis Groupe Holdings B.VToronto, ON, CA
Full-time

Transform business challenges through AI as a Senior AI & ML Engineer.Design and deploy scalable AI solutions in a flexible hybrid setting for impactful results.Your role will involve working on in...Show more

 • Promoted

Senior Machine Learning Engineer - Recommender Systems

Thomson ReutersToronto, ON, CA
Full-time

A leading technology firm in Toronto is looking for a Senior Machine Learning Engineer to develop scalable and secure machine learning solutions.Responsibilities include technical implementation, d...Show more

 • Promoted

Senior Engineer Specializing in AI & Machine Learning Systems

Publicis GroupeToronto, ON, CA
Full-time

Transform business challenges through AI as a Senior AI & ML Engineer.Design and deploy scalable AI solutions in a flexible hybrid setting for impactful results.Your role will involve working on in...Show more

 • Promoted

Innovative Lead Research Engineer in Machine Learning Systems

RefinitivToronto, Ontario, Canada
Full-time

Lead the charge in AI technology as an Innovative Lead Research Engineer, specializing in machine learning and agile software development within a hybrid work model.Drive impactful solutions and en...Show more

 • Promoted

Senior Machine Learning Engineer

Function HealthToronto, Ontario, Canada
Full-time

Function Health is the AI operating system for health, designed to empower people to live 100 healthy years.We are redefining how individuals understand, measure, and improve their health by moving...Show more

 • Promoted

Senior Machine Learning Engineer for AI Systems

TDToronto, ON, CA
Full-time

Empower financial innovation as a Senior Machine Learning Engineer.Architect scalable AI solutions, automate operations, and enhance reliability while working with extensive datasets in a collabora...Show more

 • Promoted

Senior Machine Learning Engineer

Magnet ForensicsToronto, Ontario, Canada
Full-time

Who We Are; What We Do; Where We’re Going Magnet Forensics is a global leader in the development of digital investigative software that acquires, analyzes, and shares evidence from computers, smart...Show more

 • Promoted

Research Engineer with Focus on Machine Learning and Model Optimization

CohereToronto, ON, CA
Full-time

Join a cutting-edge team as a Research Engineer committed to advancing AI technologies.Engage in developing robust experiments, improving model performance, and collaborating to bring research idea...Show more