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Added 2 months ago
C
Lead Python AI Principal Engineer (Hands-On), SVP
Citi
Remote, Canada
- Full-time
- Remote
We are seeking a highly skilled, hands-on Lead Python AI Principal Engineer to join Citi in spearheading the design and development of cutting-edge AI platforms and services. This role…
Added 6 months ago
PC
AI Product Engineer, Games
Puzzle Cats
Remote, Canada
- Full-time
- Remote
We’re looking for an AI Product Engineer who wants to build something big and move fast. This is a hands-on, highly product-oriented role for someone who wants to invent, ship, and scale…
Added 6 months ago
O
Senior Software Engineer (Product)
Owl.co
Vancouver, British Columbia · Toronto, Ontario
- $150,000 to $250,000 CAD / year
- Full-time
We are seeking a talented Senior Software Engineer to join our Product team. In this role, you will work closely with cross-functional teams to design and develop innovative products that…
Added 6 months ago
Z
Software Engineer, Backend (All Levels)
Zip
Remote, Canada
- Full-time
- Remote
As a Software Engineer you will be responsible for building Zip’s core products and architecture. You will ship features that will be immediately used by our users, and will work with a…
Added 6 months ago
Senior Application Support Engineer (Trading & Market Data)
Solactive AG
Toronto, Ontario
Scripting experience with Bash and/or Python.
Added 6 months ago
W
Software Engineer, Labelling, Data & Automation
Waabi
Toronto, ON
- $127,000 to $225,000 USD / year
- Full-time
As a Software Engineer on our Labelling and Data Automation team, you will build pipelines, tools, and workflows to accelerate the development of our AI-first self-driving technology. The…
Added 6 months ago
T
Machine Learning Engineer
TD
Remote, Canada
- Full-time
- Remote
Strong coding proficiency in Python, Java, C, or C++
Added 6 months ago
S
Senior AI Engineer
ShyftLabs
Toronto, Ontario
- Full-time
ShyftLabs is looking for a Senior AI Engineer to sit at the intersection of AI/ML engineering and backend platform development. This isn't a research role, it's a hands-on engineering…
Added 6 months ago
HA
Forward Deployed Engineer
H2 Analytics
Remote, Canada
- Full-time
- Remote
As a Forward Deployed Engineer, you will deploy, configure, and support EASE and other software solutions in client environments, primarily on-premises. Working as part of a project team,…
Added 6 months ago
M
Lead, Data Engineer
McKesson
Remote, Canada
- Full-time
- Remote
The Lead Data Engineer is a senior individual contributor within McKesson’s Decision Intelligence organization, responsible for leading the design, delivery, and operationalization of…
Added 5 months ago
S
Engineer, Digital Design Verification
Semtech
Ottawa, Ontario · CAN - Ottawa, ON
- Full-time
Experience with related programming/scripting languages (i.e. Python, TCL, Perl, C.)
Added 6 months ago
H
Senior Electrical Design Engineer
Humanoid
Burnaby, BC
- Full-time
As a Senior Electrical Design Engineer at Humanoid, you will design and develop electrical systems that power and control advanced robotic platforms, focusing on sensors, compute…
Added 6 months ago
Q
Staff AI Software Engineer (C++)
Qualcomm
Markham, ON
- Full-time
…smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient…
Added 6 months ago
UM
Senior Backend Engineer
US Mobile
Toronto, Ontario
- Full-time
We're looking for an exceptional backend engineer and hands-on architect to help us scale and connect millions of devices to wireless networks. The projects and potential impact are…
Added 2 months ago
R
Software Engineer
RBGlobal
Mississauga, ON
- Full-time
We are looking for an enthusiastic and motivated software engineer to join our marketplace teams. This is an excellent opportunity for someone early in their career who is eager to learn…
Added 7 months ago
Q
AI Performance Engineer (Cloud AI Engineering), Sr | Staff | Sr. Staff
Qualcomm
Markham, Ontario
- Full-time
AI Performance Engineer (Cloud AI Engineering)
Added 3 months ago
LT
DevOps Team Lead
LMI Technologies
Burnaby, BC
- $108,000 to $135,000 CAD / year
- Full-time
Google Professional Cloud DevOps Engineer (or equivalent)
Added 6 months ago
B
Database Developer
Bounteous
Montreal, Quebec
- Full-time
Scripting experience in Perl / Python / Unix / K-Shell
Added 5 months ago
Senior Data Engineer, Event Data
Movable Ink
Toronto, Ontario
The Senior Data Engineer, Event Data will join a newly formed team responsible for building the systems that ingest, process, and serve the massive volume of client and internal event data…
Added 1 month ago
'
Network Engineer
''
Florenceville-Bristol, NB
- Full-time
- Other
Reporting to the Manager of Network Services, the Network Engineer is responsible for supporting, operating, and evolving enterprise network infrastructure across on-prem and cloud…
Added 6 months ago
PA
Artificial Intelligence Engineer
Precision AI
Calgary, Alberta
- Full-time
The Artificial Intelligence Engineer at Precision AI will contribute to the design, development, and deployment of AI-driven solutions. This role focuses on building, training, and…
Added 2 months ago
B
AI Engineer - Generative & Agentic AI
BDO
Toronto, ON · Oakville, ON · Halifax, NS · Calgary, AB
- Full-time
We are seeking an experienced AI Engineer with a strong foundation in software engineering and a proven track record of building Generative and Agentic AI solutions. This new role is ideal…
Added 6 months ago
P
Senior Software Engineer - Java
PointClickCare
Mississauga, ON
- Full-time
Added 2 months ago
DI
Specialist, AI Engineering
Definity Insurance Company
Toronto, ON
- Full-time
We are seeking a forward-thinking AI Engineer to join our innovative team and drive the future of Property & Casualty (P&C) insurance. This role is pivotal in bridging the gap between…
Added 2 months ago
Silicon Power & Characterization Lead
Tenstorrent
Toronto, ON
Tenstorrent is seeking a highly skilled and experienced Engineer to lead post-silicon power characterization and correlation activities for cutting-edge semiconductor products. In this…

Qualcomm

AI Performance Engineer (Cloud AI Engineering), Sr | Staff | Sr. Staff

Markham, ON, Canada

$178,400.00 - $267,600.00 · Full-time

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Job details

Pay: $178,400.00 - $267,600.00
Job type: Full-time
Posting language: English
Posted: Apr 9, 2026

Original job description

Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

AI Performance Engineer (Cloud AI Engineering)

Qualcomm is utilizing its traditional strengths in digital wireless technologies to play a central role in the evolution of Cloud AI. We are investing in several supporting technologies including Deep Learning. The Qualcomm Cloud AI team is developing hardware and software solutions for Inference Acceleration.

We are hiring an AI Performance Engineers at multiple levels to join our dynamic, collaborative team. This role spans the full product lifecycle - from cutting-edge research and development to commercial deployment - and demands strategic thinking, strong execution, and excellent communication skills.

This role involves the following activities:

Convert, optimize and deploy models for efficient inference using PyTorch, ONNX.

Work at the forefront of GenAI by understanding advanced algorithms (e.g. attention mechanisms, MoEs) and numerics to identify new optimization opportunities.

Performance analysis and optimization of LLM, VLM, and diffusion models for inference. Scale performance for throughput and latency constraints.

Mapping the next generation AI workloads on top of current and future hardware designs.

Work closely with customers to drive solutions by collaborating with internal compiler, firmware and platform teams.

Analyze complex performance or stability issues to work towards final root cause of underlying problems.

Create engineering solutions to deliver continuous insights into performance of AI workloads guiding the improvements over time.

Design and implement high-level kernels, e.g. in Triton, with a focus on generating efficient, low-level code.

Candidates for this position will demonstrate the following:

Hands-on experience in building and optimizing language models, notably in PyTorch, ONNX, preferably in production-grade environments.

Deep understanding of transformer architectures, attention mechanisms and performance trade-offs.

Experience in workload mapping strategies exhibiting sharding or various parallelisms.

Strong Python programming skills.

Proactive learning about the latest inference optimization techniques.

Understanding of computer architecture, ML accelerators, in-memory processing and distributed systems.

Strong communication, problem-solving skills and ability to learn and work effectively in a fast-paced and collaborative environment.

MS in Computer Science, Machine Learning, Computer Engineering or Electrical Engineering.

Bonus Skills:

Background in neural network operators and mathematical operations, including linear algebra and math libraries.

Understanding of machine learning compilers.

Experience in converging accuracy and its evaluation methods.

Knowledge of torch.compile or torchDynamo.

PhD in Computer Science, Computer Engineering or Machine Learning

Minimum Qualifications:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 6+ 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 5+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

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:

$178,400.00 - $267,600.00

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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More about this job

Responsibilities

The AI Performance Engineer will optimize and deploy deep learning models for efficient inference on cloud AI hardware. They will analyze performance bottlenecks in LLMs and diffusion models while collaborating with compiler and firmware teams to drive hardware-software solutions.

Requirements

Candidates must hold at least a Bachelor's degree in a technical field with 4 to 6 years of relevant engineering experience. Strong proficiency in Python, PyTorch, and deep understanding of transformer architectures and performance optimization strategies are required.

Skills

PyTorch
ONNX
Python
Deep learning
Transformer architectures
Attention mechanisms
Performance analysis
Inference optimization
LLM
VLM
Diffusion models
Triton
Computer architecture
ML accelerators
Distributed systems
Linear algebra

Benefits

Annual discretionary bonus program
Annual RSU grants
Competitive benefits package

Visa sponsorship

Not detected in the job text

Keywords

AI Performance Engineer
Cloud AI
Deep Learning
Inference Acceleration
PyTorch
ONNX
GenAI
LLM
VLM
Diffusion Models
Triton
Computer Architecture
ML Accelerators
Distributed Systems
Linear Algebra
Machine Learning Compilers
Torch.compile
TorchDynamo
Performance Optimization
Hardware Engineering
Software Engineering
Systems Engineering
Transformer Architectures
Attention Mechanisms
Parallelism
Sharding
Firmware
Compiler
Inference
Workload Mapping

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