Jobs in Canada

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Added 7 mins ago
DevOps Manager
Rightsline Inc
Toronto, ON
$85,000 to $95,000 CAD / year
…You will manage and develop a team of five - a Senior DevOps Engineer, a DevOps Engineer, and two Senior Systems Engineers - and hold end-to-end accountability for the infrastructure our…
Added 20 mins ago
Engineer (Electrical Power) - High Current Lab
Kinectrics
Toronto, ON
Full-time
Kinectrics is a wholly owned subsidiary of BWX Technologies focused on providing life cycle management services in the energy and utility sector. We develop innovative solutions for the…
Added 22 mins ago
Release Train Engineer II
TD
Toronto, ON
Full-time
Applies best practices and knowledge of internal / external business issues to improve products or services in own discipline
Added 22 mins ago
Sr. Full Stack Developer, TD Securities
TD
Toronto, ON
Full-time
We are looking for a Senior Engineer to join the Equity Derivatives Technology Team and embrace a broad range of tasks associated with developing application and systems solutions to…
Added 22 mins ago
Rotary AME - EC135
Ledcor
Squamish, BC · Terrace, BC · Kamloops, BC
Full-time
As a Rotary Aircraft Maintenance Engineer (AME), you take pride in delivering safe, reliable aircraft maintenance while supporting critical operations in some of Canada's most unique and…
Added 49 mins ago
Technical Program Manager
Raas Infotek
Vancouver, BC
Contract
Lead cloud-based initiatives leveraging AWS services and cloud-native architectures.
Added 49 mins ago
Technical Field Sales Engineer | Hydraulic Fracturing
Jereh North America Group
Calgary, AB
Full-time
Jereh Canada is seeking a Technical Field Sales Engineer with substantial experience in hydraulic fracturing, pressure pumping, and the Canadian oilfield services market.
Added 1 hour ago
Quality Engineer II- BH
Medtronic
Milton, ON · CAN-ON Milton
Full-time
The Service & Repair Quality Engineer II provides quality engineering support for a global Service and Repair organization. This role partners cross-functionally to maintain compliance with…
Added 1 hour ago
Machine Learning Engineer Intern
Jobright.ai
Canada
Internship
…helps users reach better job outcomes. The Machine Learning Engineer Intern will develop and evaluate machine-learning features, support data pipelines and integrations, investigate model…
Added 1 hour ago
Technical Program Manager
Raas Infotek
Vancouver, BC
Contract
Lead cloud-based initiatives leveraging AWS services and cloud-native architectures.
Added 1 hour ago
Senior Cybersecurity Engineer
lululemon
Vancouver, BC
Full-time
As a Senior Cybersecurity Engineer, you will design, build, and deploy scalable security capabilities that reduce risk and enable secure technology delivery. You will translate security…
Added 1 hour ago
Senior Structural Engineer
McElhanney
Terrace, BC
Full-time
…mapping, planning, landscape architecture, and environmental services. As a 100% employee-owned and operated firm, with over 1,500 staff members in 31 locations, we are proud to offer…
Added 1 hour ago
DevOps Engineer, New Grad
Jobright.ai
Canada
Full-time
…accelerating your route to the best job outcomes. As a New Grad DevOps Engineer, you will help build and operate the infrastructure behind our AI-powered job search platform, focusing on…
Added 1 hour ago
Full Stack Engineer (Swift / React Native / Node.js)
Resonaite
Markham, ON
Contract
Build and maintain backend APIs and services using Node.js, TypeScript and NestJS.
Added 1 hour ago
Full Stack Software Engineer, New Grad
Jobright.ai
Canada
Full-time
…to the best job outcomes. As a New Grad Full Stack Software Engineer, you will work across the product stack to build intuitive user experiences, scalable backend systems, and AI-powered…
Added 1 hour ago
Technical Program Manager Retail industry background
Raas Infotek
Vancouver, BC
Contract
Lead cloud-based initiatives leveraging AWS services and cloud-native architectures.
Added 1 hour ago
Intermediate Geotechnical Engineer
McElhanney
Calgary, AB
Full-time
…mapping, planning, landscape architecture, and environmental services. As a 100% employee-owned and operated firm, with over 1,500 staff members in 31 locations, we are proud to offer…
Added 1 hour ago
Technical Program Manager (Retail industry)
Raas Infotek
Vancouver, BC
Contract
Lead cloud-based initiatives leveraging AWS services and cloud-native architectures.
Added 1 hour ago
ML Runtime and Kernel Engineer - Core ML
Cerebras
Toronto, ON
Full-time
…over 10 times faster than GPU-based hyperscale cloud inference…
Added 1 hour ago
Bilingual Sales Intern - Montreal, QC
Victaulic
Montreal, QC · Greater Montreal Metropolitan Area
Full-time
…tuyauterie. L’entreprise offre des technologies avancées et des services d’ingénierie permettant de relever les défis complexes en matière de tuyauterie auxquels font face les ingénieurs,…
Added 2 hours ago
RTL/Firmware Design Engineer
AMD
Markham, ON
$91,200 to $136,800 USD / year
Full-time
RTL/Firmware Design Engineer (New College Grad)
Added 2 hours ago
AI-Aware Data Engineer (Oracle, PostgreSQL & Azure)
Cognizant
Toronto, ON
Full-time
As an AI-Aware Data Engineer, you will make an impact by designing, developing, and optimizing enterprise data solutions that support analytics, reporting, and AI-ready data initiatives.…
Added 2 hours ago
Project Manager
WSP in Canada
Lethbridge, AB
Full-time
Support construction-phase services through RFIs, shop drawing reviews, progress certifications, field reviews, and resolving site-related challenges.
Added 2 hours ago
Silicon Design Engineer
AMD
Vancouver, BC
$91,200 to $136,800 USD / year
Full-time
Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
Added 2 hours ago
Field Services Engineer
Cognizant
Vancouver, BC
Full-time

Cerebras

ML Runtime and Kernel Engineer - Core ML

Toronto, ON, Canada

Job type: Full-time
Apply by: Oct 28, 2026
Posting language: English
Posted: Sep 28, 2026

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Original job description

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.

This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.

Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.

About The Role

The Core ML team develops novel machine learning algorithms that take advantage of the unique capabilities of the Cerebras Wafer-Scale Engine. Our work spans efficient LLM training and inference, parallel and diffusion-based generation, sparsity, scaling laws, and training dynamics.

We are looking for an engineer to bridge the gap between promising research ideas and efficient execution on Cerebras systems. You will work across ML frameworks, compilers, runtimes, and low-level kernels to implement new algorithmic capabilities, diagnose performance bottlenecks, and turn research prototypes into robust, high-performance demonstrations.

Depending on your background, your work may emphasize runtime capabilities such as token orchestration, scheduling, communication, and distributed execution; low-level kernel development for novel ML operations; or a combination of both.

Responsibilities

Design and implement runtime components and high-performance kernels required by novel Core ML algorithms.
Translate research prototypes into efficient implementations for the Cerebras platform, including reference implementations and comparisons on GPUs where useful.
Profile and debug performance across the ML framework, compiler, runtime, communication, and kernel layers.
Optimize computation, memory movement, communication, and concurrency for large-scale training and low-latency inference.
Develop benchmarks, instrumentation, and automated tests that validate functionality, performance, and numerical correctness.
Collaborate closely with Core ML researchers and compiler, runtime, kernel, and inference engineers to evaluate design alternatives and deliver end-to-end capabilities.
Contribute to software architecture and roadmap decisions by identifying recurring limitations and high-leverage platform improvements.

Skills & Qualifications

Bachelor’s, Master’s, PhD, or equivalent practical experience in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
Experience developing high-performance systems software, ML systems, runtimes, compilers, or computational kernels.
Strong programming skills in C++ and Python.
Solid understanding of parallel programming, memory management, concurrency, data structures, and performance optimization.
Proven ability to debug and profile complex software across multiple layers of a system.
Familiarity with modern machine learning architectures and frameworks such as PyTorch or JAX.
Ability to work effectively with researchers and translate evolving algorithmic requirements into reliable software.

Preferred Skills & Qualifications

Experience with CUDA, Triton, low-level assembly, accelerator programming, or a C-like domain-specific language.
Experience with compiler internals, distributed runtimes, custom hardware interfaces, or HPC systems.
Understanding of machine learning fundamentals and ML systems, with the ability to reason about how algorithmic choices affect accuracy, systems implementation and performance.
Familiarity with LLM training or inference, including attention, KV-cache management, parallel generation, or distributed execution.
Experience developing software in an industrial or academic research environment where requirements evolve through experimentation.
Contributions to significant open-source systems, ML frameworks, compilers, or kernel libraries.

Why Join Cerebras

About

People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:

Build a breakthrough AI platform beyond the constraints of the GPU.
Publish and open source their cutting-edge AI research.
Work on one of the fastest AI supercomputers in the world.
Enjoy job stability with startup vitality.
Our simple, non-corporate work culture that respects individual beliefs.

Find out more about what it's like to work at Cerebras here!

Apply today and become part of the forefront of groundbreaking advancements in AI!

Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.

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More about this job

Responsibilities

Design and implement runtime components and high-performance kernels for Core ML algorithms, translating research prototypes into efficient Cerebras implementations. Profile and optimize performance across frameworks, compilers, runtimes, communication, and kernels, while developing benchmarks and collaborating across research and engineering teams.

Requirements

Candidates need a degree or equivalent practical experience in a relevant engineering or computer science field, experience with high-performance systems software, ML systems, runtimes, compilers, or kernels, and strong C++ and Python skills. They should understand parallel programming and performance optimization, be able to debug complex systems, and be familiar with modern ML architectures and frameworks such as PyTorch or JAX.

Skills

C++
Python
High-Performance Systems Software
Machine Learning Systems
Runtime Development
Compiler Development
Computational Kernels
Parallel Programming
Memory Management
Concurrency
Performance Optimization
Profiling And Debugging
PyTorch
JAX
Accelerator Programming
Distributed Execution

Visa sponsorship

Not detected in the job text

Keywords

Cerebras Wafer-Scale Engine
C++
Python
PyTorch
JAX
Machine Learning
Large Language Models
LLM Training
LLM Inference
Runtime Systems
Compiler Internals
Computational Kernels
CUDA
Triton
Low-Level Assembly
Accelerator Programming
Parallel Programming
Distributed Runtimes
Distributed Execution
High-Performance Computing
Memory Management
Concurrency
Performance Profiling
Performance Optimization
Attention
KV-Cache Management
Parallel Generation
Communication
Numerical Correctness
Benchmarking

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