Find work in Canada.

596,535 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 7 months ago
T
Solutions Engineer
TrendAI
Canada
- Full-time
Hands-on experience with API integrations, scripting, automation, or lightweight coding (Python, Bash, PowerShell).
Added 6 months ago
S
AI Builder / Forward Deployed Engineer
Sagard
Toronto, Ontario
- Full-time
The AI Builder / Forward Deployed Engineer will work closely with business teams across investment, finance, compliance and operations to identify high-value opportunities and build…
Added 1 month ago
E
MTS 2, Staff Full Stack Engineer
eBay
Remote, Canada
- Full-time
- Remote
We are seeking a MTS 2 Staff Full Stack Engineer with to help redefine and elevate the Goldin platform. In this role, you’ll work across the stack, collaborating with high-velocity teams to…
Added 1 month ago
E
MTS 2, Full Stack Engineer
eBay
Toronto, Ontario
- Full-time
We are seeking a MTS 2 Full Stack Engineer with to help redefine and elevate the Goldin platform. In this role, you’ll work across the stack, collaborating with high-velocity teams to…
Added 2 months ago
JS
BI Data Engineer
Jonas Software
Markham, ON · Canada - Markham - Ontario
- Full-time
We are seeking a BI Data Engineer to design, build, and optimize BI assets - dashboards, reports, and semantic data models - primarily in AWS QuickSight on top of SQL-based datasets. This…
Added 2 months ago
JC
BI Data Engineer
Jonas Club Software
Markham, ON · Canada - Markham - Ontario
- Full-time
We are seeking a BI Data Engineer to design, build, and optimize BI assets - dashboards, reports, and semantic data models - primarily in AWS QuickSight on top of SQL-based datasets. This…
Added 2 months ago
Senior Staff Backline Engineer - Data & AI
Databricks
Vancouver, BC
…best practices to ensure reliable, efficient workflows. Solid hands-on programming skills in Python, SQL, or…
Added 6 months ago
AI Solutions Engineer - Accounting
Opendoor
Toronto, Ontario
This is a hands-on individual contributor role. You will design, build, and ship automations - not just evaluate tools or write strategy decks.
Added 3 months ago
B
AI Scientist & Engineer, Assurance Innovation Lab
BDO
Calgary, Alberta · Edmonton, Alberta · Halifax, Nova Scotia
- Full-time
We are looking for an exceptionally skilled, hands-on, and innovation-minded AI Scientist & Engineer to bridge the gap between advanced data science, experimental machine learning, and…
Added 5 months ago
T
AI Architect I
TextLayer
Remote, Canada
- $215,000 to $250,000 CAD / year
- Full-time
- Remote
Build: Once a plan is finalized, Architects lead the execution in a player-coach capacity. That often includes hands-on-keyboard work, but also enforcing standards, upskilling teams, and…
Added 1 month ago
S
Staff Software Engineer, App Runtime
Snowflake
Toronto, ON
- Full-time
As a Staff/Principal Engineer, you will shape the product and its architecture. It’s a high leverage role - you will lead a team to scale and harden an early-stage, public-preview product.…
Added 1 month ago
Staff Software Engineer, Web3
Robinhood
Toronto, ON
As a Staff Software Engineer in this role, you will work on the most critical projects across Tokenization, Robinhood Chain, and the Robinhood Wallet. Most importantly, you will proactively…
Added 4 months ago
N
Applied AI Engineer
Nexxa.AI
Remote, Canada
- Full-time
- Remote
5–10+ years in engineering roles such as Forward Deployed Engineer, ML Engineer, Software Engineer, Solutions Engineer, Technical Consultant, or similar.
Added 1 month ago
TM
Solutions Engineer
Trend Micro
Canada Off-Site
- $180,000 to $215,000 CAD / year
- Full-time
Hands-on experience with API integrations, scripting, automation, or lightweight coding (Python, Bash, PowerShell).
Added 1 month ago
TM
Channel Solutions Engineer
Trend Micro
Montreal, QC
- $180,000 to $230,000 CAD / year
- Full-time
Hands-on experience with API integrations, scripting, automation, or lightweight coding (Python, Bash, PowerShell).
Added 2 months ago
FG
Lead Software Engineer, Full-Stack Applications - Ratings Technology
Fitch Group
Toronto, ON
- $160,000 to $200,000 CAD / year
Deep full-stack engineering expertise – 10+ years of hands-on experience building enterprise applications, with expert-level proficiency in Java/Springboot, C#/.NET, Python and REACT, and…
Added 7 months ago
Q
LLM Serving Engineer (Cloud AI Engineering), Senior / Staff Engineer
Qualcomm
Markham, ON
- Full-time
Hands-on experience in one or more of the following LLM serving/Orchestration packages (Triton-Inference Server, vLLM, SGLang, Ollama, llm-d, KServe, LMCache, MoonCake)
Added 7 months ago
Q
LLM Serving Engineer (Cloud AI Engineering), Senior / Staff Engineer
Qualcomm
Markham, Ontario
- Full-time
Hands-on experience in one or more of the following LLM serving/Orchestration packages (Triton-Inference Server, vLLM, SGLang, Ollama, llm-d, KServe, LMCache, MoonCake)
Added 1 month ago
Transformation Engineer - Software Development, AI & Quality Engineering
Fitch Group
Toronto, ON
Fitch Group is seeking a hands-on Transformation Engineer with strong expertise in software development, AI-enabled engineering, and modern quality practices. This role will focus on…

No more jobs.

Qualcomm

LLM Serving Engineer (Cloud AI Engineering), Senior / Staff Engineer

Markham, ON, Canada

$158,400.00 - $237,600.00 · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $158,400.00 - $237,600.00
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:

LLM Serving 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 LLM Serving 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:

Building a scalable LLM inference platform using inference techniques (e.g. disaggregated serving and KV-Cache management, advanced parallelism, speculative algorithms, model optimization, specialized kernels).

Contribute to the development of LLM Serving packages (e.g. vLLM, SGLang, TGI, Triton-Inference server, Dynamo, LLM-d).

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

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

Drive efficient serving through smart autoscaling, load balancing and routing.

Engage with open-source serving communities to evolve the framework.

Candidates for this position will demonstrate the following:

Hands-on experience in one or more of the following LLM serving/Orchestration packages (Triton-Inference Server, vLLM, SGLang, Ollama, llm-d, KServe, LMCache, MoonCake)

Deep understanding of foundational LLMs, VLMs, SLMs, transformer-based architectures.

Strong experience in developing language models using PyTorch.

Strong computer science fundamentals - algorithms, data structures, parallel and distributed programming.

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

Strong Python development skills for large-scale projects with passion for software engineering.

Experience in analyzing, profiling, and optimizing deep learning workloads.

Proactive learning about the latest inference optimization techniques.

Excellent communication and problem-solving skills, with the ability to thrive in a fast-paced and collaborative environment.

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

Bonus Skills:

Open-source contribution to any GenAI package.

Experience architecting and developing large-scale distributed systems.

High-level kernel design experience (PyTorch, CUDA, Triton).

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 4+ 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 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 2+ 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:

$158,400.00 - $237,600.00

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.

Apply About employer

More about this job

Responsibilities

The role involves building a scalable LLM inference platform and contributing to the development of LLM Serving packages. It requires collaboration with customers and internal teams to drive solutions and optimize serving efficiency.

Requirements

Candidates should have hands-on experience with LLM serving packages and a deep understanding of foundational LLMs and transformer-based architectures. A strong background in computer science fundamentals and Python development is essential.

Skills

LLM Serving
Machine Learning
Deep Learning
PyTorch
Algorithms
Data Structures
Distributed Systems
Python Development
Inference Optimization
Load Balancing
Autoscaling
Open-Source Contribution
GenAI
Computer Architecture
ML Accelerators
Profiling
Optimization

Benefits

Annual Discretionary Bonus
RSU Grants
Competitive Benefits Package

Visa sponsorship

Not detected in the job text

Keywords

LLM Serving
Machine Learning
Deep Learning
Inference Acceleration
Triton-Inference Server
vLLM
SGLang
Ollama
KServe
LMCache
MoonCake
Attention Mechanisms
MoEs
Parallelism
Speculative Algorithms
Model Optimization
Python
CUDA
Torch.compile
TorchDynamo
Distributed Systems
ML Accelerators
Profiling
Optimization
Autoscaling
Load Balancing
Open-Source
GenAI
Computer Architecture
Algorithms

Report this job