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Added 11 days ago
Data Scientist and AI Engineer Autonomous AI Agents (LLMs and Deep Learning)
Royal Bank of Canada
Toronto, ON
Full-time
…language models (LLMs) and other deep learning models. As an AI Engineer, you will play a pivotal role in building intelligent systems that transform the way we operate and deliver…
Added 11 days ago
Data Scientist and AI Engineer Autonomous AI Agents (LLMs and Deep Learning)
RBC
Toronto, ON
Full-time
…language models (LLMs) and other deep learning models. As an AI Engineer, you will play a pivotal role in building intelligent systems that transform the way we operate and deliver…
Added 20 days ago
Senior AI Engineer - Evisort AI
Workday
Vancouver, BC · Toronto, ON · Canada, BC, Vancouver
Full-time
8+ years of professional software engineering experience, with a heavy emphasis on backend architecture, distributed systems, and a proven track record of shipping high-availability…
Added 17 days ago
Sr. SDE, Edge AI ML Platform, Edge AI and Science
Amazon
Vancouver, BC
…training, compression, evaluation, compilation, and deployment systems by hand. We are turning that work into a repeatable, self-service workflow. Our platform supports large language,…
Added 17 days ago
Senior AI Software Engineer, Full-Stack Applications - AI Innovation Teams
Fitch Group
Toronto, ON
Fitch Ratings is seeking a Senior Software Engineer to join our new AI Innovation teams in Toronto - where we're building the AI-powered platforms and applications that will transform…
Added 5 months ago
AI Performance Engineer (Cloud AI Engineering), Sr | Staff | Sr. Staff
Qualcomm
Markham, Ontario
Full-time
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…
Added 2 months ago
Principal AI Security Engineer
Cerebras Systems
Canada
Full-time
Cerebras is seeking a Principal AI Security Engineer to lead hands-on security engineering for enterprise IT, infrastructure, AI platforms, and agentic systems.
Added 24 days ago
Backend AI Engineer
Nexxa.AI
Remote, Canada
Full-time · Remote
We're looking for Backend AI Engineers to design, build, and own the core AI infrastructure and services that power Nexxa's products in production. Where our Forward Deployed Engineers…
Added 23 days ago
Sr. Data Engineer - AI & Data Science
B3 Systems
Toronto, ON
Full-time
…AI to dramatically enhance performance. As the Senior Data Engineer on our AI & Data Science team, you'll own the team's analytical data layer: the schemas, views, and pipelines that sit on…
Added 5 months ago
LLM Serving Engineer (Cloud AI Engineering), Senior / Staff Engineer
Qualcomm
Markham, ON
Full-time
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…
Added 5 months ago
LLM Serving Engineer (Cloud AI Engineering), Senior / Staff Engineer
Qualcomm
Markham, Ontario
Full-time
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…
Added 3 months ago
AI Engineer
maru.ai
Engineer, BC
Full-time
We are an early stage startup developing cutting-edge AI technology. We are looking for a talented AI engineer to join our small but growing team. You will have the opportunity to take on a…
Added 9 days ago
Lead AI Engineer
RBC
Toronto, ON
Full-time
We are seeking an accomplished Lead AI Engineer to design, develop, and implement AI-driven solutions within our software development lifecycle. You will lead enterprise-scale AI…
Added 9 days ago
Senior AI Engineer
RBC
Toronto, ON
Full-time
We are seeking an accomplished Senior AI Engineer to contribute to the design, development, and implementation of AI-driven solutions within our software development lifecycle. This role…
Added 18 days ago
Lead AI Engineer
Royal Bank of Canada
Toronto, ON
Full-time
We are seeking an accomplished Lead AI Engineer to design, develop, and implement AI-driven solutions within our software development lifecycle. You will lead enterprise-scale AI…
Added 9 days ago
Staff AI Engineer
Arcadia
Toronto, ON · Greater Toronto Area, Canada
$220,000 to $300,000 CAD / year
Full-time
We're partnering with a highly technical AI organization building the infrastructure that powers production AI systems at massive scale. Operating as a AI innovation startup within a much…
Added 11 days ago
Software Engineer (Circuit Analysis, EDA frameworks, AI agents)
Cadence Design Systems
Vancouver, BC
Full-time
Cadence Design Systems is the leading provider of design automation tools for electronic and intelligent systems design. The Circuit Analysis Engineer is responsible for designing,…
Added 18 days ago
Senior AI Engineer
Royal Bank of Canada
Toronto, ON
Full-time
We are seeking an accomplished Senior AI Engineer to contribute to the design, development, and implementation of AI-driven solutions within our software development lifecycle. This role…
Added 2 days ago
MLOps Engineer, LLM Systems (Serving, GPU Kernels, Profiling)
Weekday AI
Remote, Canada
Part-time · Remote
…foundational AI models from the ground up. We're seeking MLOps Engineers with hands-on experience in large language model infrastructure across any of four areas: GPU kernel programming,…
Added 4 months ago
Staff Chip Design Engineer - FPGA
Cognichip
Toronto, Ontario
$184,000 to $222,000 CAD / year
Full-time
At Cognichip, we’re not just building AI - we’re redefining what’s possible at the nexus of silicon design and machine learning. As a Staff FPGA Design Engineer, you will fuse chip design…
Added 4 days ago
AI Engineer
Cognizant
Toronto, ON
Full-time
Design, build, and optimize agentic AI systems and LLM-powered applications (RAG pipelines, agent orchestration)
Added 25 days ago
AI Engineer
Sanofi
Toronto, ON
Full-time
Strong understanding of agentic AI architectures, multi-agent systems, prompt engineering, tool/function calling, workflow orchestration, and AI application evaluation frameworks
Added 10 days ago
Principal Data Science and AI Engineer
RBC
Toronto, ON
Full-time
As a Principal AI Engineer, you will be at the helm of developing, deploying, and owning the strategic direction of advanced AI systems, including autonomous AI agents that leverage and…
Added 11 days ago
Principal Data Science and AI Engineer
RBC
Toronto, ON
Full-time
As a Principal AI Engineer, you will be at the helm of developing, deploying, and owning the strategic direction of advanced AI systems, including autonomous AI agents that leverage and…
Added 11 days ago
Principal Data Science and AI Engineer
Royal Bank of Canada
Toronto, ON
Full-time
As a Principal AI Engineer, you will be at the helm of developing, deploying, and owning the strategic direction of advanced AI systems, including autonomous AI agents that leverage and…

Qualcomm

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

Markham, ON, Canada

Pay: $158,400.00 - $237,600.00
Job type: Full-time
Posting language: English
Posted: Apr 9, 2026

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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 [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).

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.

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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 techniques.

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
Inference Techniques
Model Optimization
Deep Learning
PyTorch
Algorithms
Data Structures
Distributed Systems
Python Development
Profiling
Optimization
Communication Skills
Problem-Solving
Computer Architecture
ML Accelerators
Open-Source Contribution

Benefits

Annual Discretionary Bonus
RSU Grants
Competitive Benefits Package

Visa sponsorship

Not detected in the job text

Keywords

LLM Serving
Inference Techniques
Model Optimization
Deep Learning
PyTorch
Algorithms
Data Structures
Distributed Systems
Python Development
Profiling
Optimization
Communication Skills
Problem-Solving
Computer Architecture
ML Accelerators
Open-Source Contribution
GenAI
Autoscaling
Load Balancing
Routing
Attention Mechanisms
MoEs
Triton-Inference Server
vLLM
SGLang
Ollama
KServe
LMCache
MoonCake
CUDA

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