Jobs in Canada

Group jobs by employerEmail me new jobs Save this search

Added 18 hours ago
CCI - Engineering - Pipelines & Facilities - Mechanical Stress Engineer
CCI Group of Companies
Edmonton, AB
CCI Inc. is seeking a highly motivated and experienced Mechanical/Stress Engineer (Intermediate) to join our Pipeline & Facilities team. This role is responsible for performing engineering…
Added 18 hours ago
CCI - Engineering - Pipelines & Facilities - Mechanical Stress Engineer
CCI Group of Companies
Calgary, AB
CCI Inc. is seeking a highly motivated and experienced Mechanical/Stress Engineer (Intermediate) to join our Pipeline & Facilities team. This role is responsible for performing engineering…
Added 18 hours ago
RP
BI Platforms Operations Engineer
Red Pico
Toronto, ON
- Contract
Red Pico is hiring a hands-on BI Platform Operations Engineer to support the reliability and day-to-day operation of enterprise BI platforms, with a focus on Tableau Server, Amazon…
Added 18 hours ago
AI
Systems Design Engineer
AMD, Inc.
Markham, ON
- Full-time
THE ROLE:We are looking for a dynamic, energetic Systems Design Engineer to join our growing team. Hands on technical role to drive both Out of Band and In Band System Management testing.…
Added 18 hours ago
C
Senior Machine Learning Systems Engineer, LLM Inference Performance on AWS Trainium
Capgemini
Toronto, ON
- $72,056 to $138,940 CAD / year
We are seeking a hands-on machine learning systems engineer to optimize production-grade large language model inference across current and next-generation AWS Trainium platforms, including…
Added 18 hours ago
IG
Network Engineer
Insight Global
Vancouver, BC
- From $65 CAD / hour
- Contract
- Python, PowerShell, Ansible, Terraform / Infrastructure as Code, network automation and automated runbooks.
Added 18 hours ago
IG
Network Engineer, Vegas
Insight Global
Vancouver, BC
- $100,000 to $200,000 CAD / year
- Contract
Experience with network automation or scripting using Python, PowerShell, APIs, NetBox, source control, or infrastructure management tools.
Added 18 hours ago
RB
Director & Principal Engineer, AI/ML & MLOps Platform
Royal Bank of Canada
Vancouver, BC
- Full-time
We’re seeking a Director & Principal Engineer, AI/ML & MLOps Platform, who brings a unique blend of deep technical expertise and strategic leadership. This is a hands-on engineering…
Added 18 hours ago
SM
ML Engineer, Trust & Safety [Hapiko]
Spin Master Ltd
Toronto, ON
- $136,700 to $182,300 CAD / year
- Full-time
…the core of the product. As our first dedicated Trust Safety engineer, you'll own the systems that keep it that way as we…
Added 18 hours ago
AI
DSP Systems Engineer
AMD, Inc.
Ottawa, ON
- Full-time
You are an experienced DSP engineer who understands how algorithms map onto hardware and enjoys solving problems at the intersection of software, architecture, and customer applications.…
Added 18 hours ago
S
Senior AI Security Automation Engineer
SSB&T
Toronto, ON
- $120,000 to $202,500 CAD / year
- Full-time
State Street's Cyber Data & Analytics (CyberDNA) team is seeking a Senior AI Security Automation Engineer to help shape the next generation of cybersecurity data, analytics, and AI-powered…
Added 18 hours ago
RH
Data Engineer
Robert Half
Kitchener, ON
- $80,000 to $90,000 CAD / year
We are looking for a Data Engineer to join a team in Kitchener, Ontario and build reliable, scalable data solutions that support analytics and business decision-making. This position is…
Added 18 hours ago
RC
Senior azure cloud specialist
Randstad Canada
Kanata, ON
- Contract
Automation: Strong scripting and automation skills, with a specific focus on Python.
Added 18 hours ago
RC
Senior DevOps Engineer
Randstad Canada
Kanata, ON
- Contract
…increasing platform complexity, Seeking a Senior Cloud DevOps Engineer to join the Cloud Operations organization. This role is responsible for the reliability, scalability, automation, and…
Added 18 hours ago
AS
Technical Support Principal Engineer
AVEVA Software LLC
Calgary, AB
- Full-time
The overall job of a Technical Support Engineer is to ensure that on a day-to-day basis, AVEVA Software Premium and Elite customers are receiving quality, world-class technical support.…
Added 18 hours ago
Staff Backend Software Engineer - Kalepa for Operations
Kalepa
Canada
We are looking for engineers who enjoy going deep on hard problems and owning end-to-end outcomes. As a Staff Backend Engineer, you'll work at the intersection of AI and backend engineering…
Added 18 hours ago
Staff Backend Software Engineer - Kalepa for IT
Kalepa
Canada
We are looking for engineers who enjoy going deep on hard problems and owning end-to-end outcomes. As a Staff Backend Engineer, you'll work at the intersection of AI and backend engineering…
Added 18 hours ago
Senior Backend Software Engineer - Kalepa for IT
Kalepa
Canada
…insurers rely on for high-stakes decisions. As a Senior Backend Engineer, you'll own strategically important, complex pieces of that system with minimal oversight: the services, data…
Added 18 hours ago
Senior Backend Software Engineer - Kalepa for Operations
Kalepa
Canada
…insurers rely on for high-stakes decisions. As a Senior Backend Engineer, you'll own strategically important, complex pieces of that system with minimal oversight: the services, data…
Added 18 hours ago
RC
Software Developer - Hybrid Calgary
Randstad Canada
Edmonton, AB
- $51 to $67 CAD / hour
- Contract
Are you a Software Developer Python, JavaScript, CI/CD pipelines, PyTest, API Development experience? Our large Alberta-based financial client is seeking a Software Developer for a 3 month…
Added 18 hours ago
RC
Software Architect
Randstad Canada
Vancouver, BC
- $70.55 to $94.07 CAD / hour
- Contract
Backend Development Skills: Hands-on coding and systems design proficiency in backend languages such as Java, Go, or Python.
Added 18 hours ago
RC
Senior DevOps/Cloud Engineer
Randstad Canada
Toronto, ON
- Contract
We are seeking a highly skilled Senior DevOps/Cloud Engineer to build, deploy, operate, and maintain enterprise AWS cloud infrastructure and application environments. In this role, you will…
Added 18 hours ago
M
Senior DevOPS/Cloud Engineer
modis
Toronto, ON
- Contract
- Temporary
Akkodis is seeking an experienced Senior DevOps / Cloud Engineer to support enterprise cloud integration platforms and AWS-based application environments. The successful consultant will…
Added 18 hours ago
CS
Senior Software Engineer, ML API – AI Inference
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
We are hiring a Senior Software Engineer to build and evolve the ML API layer that makes this heterogeneous serving system accessible, reliable, and easy to use. You will own significant…
Added 18 hours ago
CS
Software Developer
Cisco Systems Canada Co.
Vancouver, BC
- Full-time
- Hybrid
- Prior experience with backend technologies such as Go or Python, including building and operating distributed systems and APIs

Capgemini

Senior Machine Learning Systems Engineer, LLM Inference Performance on AWS Trainium

Toronto, ON, Canada

$72,056 to $138,940 CAD / year

Apply on careers.capgemini.com About employer

Applications open in a new tab.

Job details

Pay: $72,056 to $138,940 CAD / year
Experience: 5+ years of experience in machine learning or systems engineering, including 2+ years focused on production model inference or serving.
Posting language: English
Posted: Oct 30, 2026

Original job description

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

Location

Remote anywhere in Canada

About the job you’re considering

We are seeking a hands-on machine learning systems engineer to optimize production-grade large language model inference across current and next-generation AWS Trainium platforms, including Trainium2 and Trainium3. The work focuses on decode latency, throughput under representative load, price-performance, long-context and multi-chip scaling, and reproducible benchmarking against leading GPU platforms.

Your role

Improve decode latency, throughput, and cost on AWS Trainium platforms, validating correctness at every step. Initial priorities include speculative decoding and native multi-token prediction (MTP) for Qwen-family models in vLLM on AWS Neuron.
Design and run matched, reproducible tests against leading GPU platforms, controlling prompts, concurrency, cache state, and warm-up. Deliver latency-throughput Pareto frontiers and price-performance comparisons aligned with customer service-level objectives.
Benchmark and migrate workloads across Trainium generations, including Trainium2 and Trainium3. Scale serving on multi-chip Trainium systems for long-context workloads, including contexts of 100K tokens or more, and apply architecture-specific optimizations.
Extend model coverage. Onboard additional architectures, including hybrid state-space and mixture-of-experts models, reusing and generalizing existing implementations where practical.
Create runbooks, implementation guides, and benchmark documentation, and support hands-on workshops so customer engineers can operate, reproduce, and tune the stack independently.

Your skills and experience

5+ years of experience in machine learning or systems engineering, including 2+ years focused on production model inference or serving.
Strong proficiency in Python and PyTorch, with the ability to read and modify model implementations involving attention, mixture-of-experts routing, and KV-cache management.
Hands-on experience with an LLM serving framework such as vLLM, TensorRT-LLM, SGLang, or Triton Inference Server.
Deep understanding of LLM inference performance, including prefill and decode, continuous batching, tensor and expert parallelism, and their impact on latency, throughput, and cost.
Experience profiling and optimizing accelerator workloads at the framework, compiler, or kernel level, and designing rigorous performance experiments.
Strong written and verbal communication skills, with the ability to explain engineering trade-offs to technical audiences and business impact to senior stakeholders.
Preferred qualifications include experience with AWS Trainium/Inferentia, the AWS Neuron SDK, and optimizing AI inference workloads, along with expertise in accelerator migrations, speculative decoding techniques, and kernel development using NKI, Triton, or CUDA.

The base compensation range for this role in the posted location is: $72,056 - $138,940/year

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

· Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

· Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)

· Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)

· Life and disability insurance

· Employee assistance programs

· Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Apply on careers.capgemini.com About employer

More about this job

Responsibilities

The Senior Machine Learning Systems Engineer at Capgemini will make large language models run faster and cheaper on AWS Trainium chips. They will also run fair tests against GPU platforms and write guides so customer engineers can repeat the work.

Requirements

Candidates need 5+ years in machine learning or systems engineering, with 2+ years on production model inference. They must be strong in Python and PyTorch and have hands-on experience with an LLM serving framework.

Skills

Python
PyTorch
vLLM
TensorRT-LLM
SGLang
Triton Inference Server
AWS Trainium
AWS Neuron SDK
Trainium2
Trainium3
NKI
Triton
CUDA
speculative decoding
multi-token prediction
mixture-of-experts
KV-cache management
tensor parallelism
expert parallelism
continuous batching
LLM inference optimization
performance benchmarking
accelerator profiling
kernel development
technical documentation

Benefits

Paid time off
Medical, dental and vision coverage
Retirement savings plan
Life and disability insurance
Employee assistance program

Keywords

Machine Learning Engineer
LLM inference
AWS Trainium
Trainium2
Trainium3
AWS Neuron
vLLM
TensorRT-LLM
SGLang
Triton Inference Server
PyTorch
Python
speculative decoding
mixture-of-experts
KV cache
CUDA
NKI
remote Canada
Capgemini

Seniority

Senior

Perks

Generous paid time off
Retirement plan
Wellness program

Tools

PyTorch
vLLM
AWS Trainium
AWS Neuron SDK
TensorRT-LLM
SGLang
Triton Inference Server
CUDA

Languages

English

Report this job

Work requirements

Jobs in Canada