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Added 3 mins ago
Software Engineer, Full-Stack - Agents Cross-FA
Superhuman
Toronto, ON
$125,000 to $130,000 CAD / year
Full-time
As a Software Engineer at Superhuman, you will:
Added 4 mins ago
Facility Manager, Building Operations, BC
Bell
Kamloops, BC
Oversee the operation and maintenance of building systems to ensure an optimal environment for data centers and administrative areas (zero tolerance for failures). These systems include…
Added 18 mins ago
Senior Director, Data Center Facilities Development
Oracle
Canada
$193,600 to $414,400 USD / year
Full-time
The Oracle Cloud Infrastructure (OCI) Data Center Development organization leads the planning, design, and delivery of the next generation of Oracle’s global data center portfolio. We are…
Added 18 mins ago
Senior Software Engineer
AVEE HEALTH
Vancouver, BC
Full-time
…visit, bringing AI deeper into the product, and keeping a health-data platform secure and reliable as it…
Added 1 hour ago
Maintenance Manager
Sanofi
Toronto, ON
Full-time
Added 1 hour ago
Staff Software Engineer, Core Applications
Solink
Remote, Canada
$138,445 to $173,056 USD / year
Full-time · Remote
…detect and interpret key moments. This empowers teams to make data-driven decisions, enhance security, and improve operational…
Added 1 hour ago
Director, Enterprise Security & IT
Klue
Remote, Canada
$155,000 to $200,000 CAD / year
Full-time · Remote
…operations. You'll be accountable for how Klue protects customer data and how every Kluebee gets equipped to do their best work. Today, these three areas sit under different teams. You'll…
Added 1 hour ago
Principal Research Scientist
ServiceNow
Montreal, QC
Full-time
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 1 hour ago
Site Reliability Engineer II (AI Platform)
OpenTable
Toronto, ON
As a Site Reliability Engineer II on the Serving Platforms team within Infrastructure Engineering, you will design, automate, and manage the core container stack and infrastructure powering…
Added 2 hours ago
Data Engineer
GEI Consultants, Inc.
Vaughan, ON
Full-time
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI’s AI solutions and digital initiatives. This role focuses on…
Added 2 hours ago
Supply Chain and Planning Manager
Schneider Electric
AB · Edmonton, AB
$114,750 to $162,000 CAD / year
Full-time
…facility serving Western Canada. Operating in a highly customized Engineer-to-Order (ETO) environment, you will play a critical role in driving operational performance, strengthening supply…
Added 2 hours ago
Thanks for visiting our Job Board. Please review our open positions and apply to the positions that match your qualifications.
Evertz
Burlington, ON
Full-time
Evertz AV is looking for a Service Engineer to join our AV Service team with a specific focus on Control System customization and deployment with a specific focus on VUE, our…
Added 2 hours ago
Station Manager, Construction Technical Office
Ontario Transit Group - Ontario Line - Southern Civil, Stations & Tunnel
Toronto, ON
Full-time
Professional Engineer (P.Eng.), Architect designation, PMP, or equivalent project or design management certification preferred.
Added 2 hours ago
Sr Associate Machine Learning Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
Develop relationships with software engineers, machine learning engineers, and data scientists on partner teams
Added 2 hours ago
Lead Harness Engineer
Government of Alberta
AB
Collaborate with stakeholders to design data-driven, AI-capable solutions, including machine learning and generative AI.
Added 2 hours ago
Software Engineer, Full-Stack - Agents Cross-FA
Superhuman
Remote, Canada
$125,000 to $130,000 CAD / year
Full-time · Remote
As a Software Engineer at Superhuman, you will:
Added 2 hours ago
Principal Engineer (API Platform)
Xero
Remote, Canada
Full-time · Remote
As Principal Engineer for Platform API, you will define and drive the long-term technical vision for how Xero exposes its accounting capabilities to external partners (building on our…
Added 2 hours ago
Staff Software Engineer, Data
Solink
Remote, Canada
$138,445 to $173,056 CAD / year
Full-time · Remote
We’re looking for a Staff Software Engineer (P4) to join our Data Infrastructure team. At this level, you’re trusted to set technical direction for infrastructure supporting 10M+ events per…
Added 2 hours ago
Lead/Senior Electrical Engineer
Bantrel Co.
Edmonton, AB
Full-time
We are currently seeking a qualified Lead/Senior Electrical Engineer to join our Energy team, based out of Edmonton, AB. The Lead/Senior Electrical Engineer will be responsible for…
Added 3 hours ago
Lead/Senior Electrical Engineer
Bantrel Co.
AB · Edmonton, AB
Full-time
We are currently seeking a qualified Lead/Senior Electrical Engineer to join our Energy team, based out of Edmonton, AB. The Lead/Senior Electrical Engineer will be responsible for…
Added 3 hours ago
Associate Electrical Engineer - Substation
Black & Veatch
Markham, ON
Full-time
…generative AI computing including gigafactories, bio/ag tech, data centers and distributed infrastructure. By joining our market sector, you will have the opportunity to be involved in…
Added 3 hours ago
Staff Data Scientist, Applied ML
Jobber
AB · Edmonton, AB
Full-time
Reporting to the Manager, Data Science, the Staff Data Scientist, Applied Machine Learning will own models and systems for automated decisioning. You will train and evaluate models using…
Added 3 hours ago
Staff Data Scientist, Applied ML
Jobber
Vancouver, BC
Full-time
Reporting to the Manager, Data Science, the Staff Data Scientist, Applied Machine Learning will own models and systems for automated decisioning. You will train and evaluate models using…
Added 3 hours ago
Staff Data Scientist, Applied ML
Jobber
Toronto, ON
Full-time
Reporting to the Manager, Data Science, the Staff Data Scientist, Applied Machine Learning will own models and systems for automated decisioning. You will train and evaluate models using…
Added 3 hours ago
Staff Data Scientist, Applied ML
Jobber
Kitchener, ON
Full-time
Reporting to the Manager, Data Science, the Staff Data Scientist, Applied Machine Learning will own models and systems for automated decisioning. You will train and evaluate models using…

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.

This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

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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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