Talent.com
Cerebras
ML Systems Integration EngineerCerebras • Toronto, ON, Canada
ML Systems Integration Engineer

ML Systems Integration Engineer

Cerebras • Toronto, ON, Canada
25 days ago
Job type
  • Full-time
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.

Responsibilities

  • Participate in bring‑up of next‑generation AI hardware systems and supporting software infrastructure.
  • Debug complex system‑level issues spanning hardware and software interactions.
  • Investigate failures occurring during system bring‑up and identify root causes using logs, telemetry, and diagnostic tools.
  • Build automation frameworks and internal tooling that improve system validation and debugging workflows.
  • Develop software used to test, validate, and stress distributed hardware systems during development and production cycles.
  • Collaborate closely with hardware engineers to isolate and resolve system integration issues.
  • Improve system observability by building tools that surface failures quickly and accelerate debugging.
  • Reproduce, triage, and diagnose difficult issues that arise during early hardware deployment.
  • Support validation and qualification of new hardware generations as systems move toward production readiness.
  • Continuously improve internal engineering workflows related to debugging, testing, and automation.

Skills & Qualifications

  • BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or related technical field.
  • Strong programming skills in Python and/or C++.
  • Excellent debugging and problem‑solving skills with ability to investigate complex technical issues methodically.
  • Solid understanding of operating systems fundamentals (processes, threads, memory management, concurrency, IPC).
  • Experience working in Linux development environments.
  • Understanding of computer architecture and interactions between hardware and software systems.
  • Strong analytical thinking and ability to break down complex system failures into actionable root causes.
  • Ability to work effectively across multiple engineering teams and collaborate in highly technical environments.
  • Strong communication skills and willingness to work on ambiguous technical problems.

Preferred Skills & Qualifications

  • Experience building automation frameworks, internal tooling, or test infrastructure
  • Familiarity with distributed systems concepts
  • Experience debugging large‑scale systems or complex infrastructure environments
  • Understanding of networking fundamentals and communication between distributed systems
  • Experience working with hardware‑adjacent software or system integration environments
  • Familiarity with performance analysis, system telemetry, and log analysis
  • Exposure to production systems validation or infrastructure reliability engineering

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.

#J-18808-Ljbffr
Create a job alert for this search

ML Systems Integration Engineer • Toronto, ON, Canada

Similar jobs

Staff ML Infra & Distributed Systems Engineer

Tubitoronto, on, Canada
Full-time

A leading streaming service is seeking a Staff Software Engineer for its ML Infrastructure team in Toronto.The role focuses on designing low-latency distributed systems and optimizing machine learn... Show more

 • Promoted

Systems Engineer, Associate

HanzillaToronto, ON, CA
Full-time

The Associate Systems Engineer will support VFX infrastructure and technology for the business unit.You will participate in deploying infrastructure and supporting creative and production staff, pa... Show more

 • Promoted

System Integration Analyst (21222)

Riverside Natural Foods Ltd. (Home of MadeGood)Toronto, ON, CA
Full-time

Join Riverside Natural Foods Ltd.Canadian-based, family‑owned, and globally operating business, committed to leaving the world better than we found it.As a B‑Corp certified, Triple‑Bottom‑Line comp... Show more

 • Promoted

Senior Software Engineer, ML Infrastructure

IdeogramToronto, ON, CA
Full-time

Drive innovation as a Senior Software Engineer in ML Infrastructure at Ideogram.Collaborate on building powerful AI data systems that inspire creativity and streamline workflows.You’ll be part of a... Show more

 • Promoted

Research Engineer - Agentic Software Systems Engineering

Huawei Canadamarkham, on, Canada
Permanent

Huawei Canada has an immediate permanent opening for a Research Engineer.The Intelligent Complex Systems Team, currently a part of the Waterloo Research Centre, examines recent advancements in arti... Show more

 • Promoted

Senior ML-Ops Engineer at ShyftLabs

ShyftLabsToronto, ON, CA
Full-time

Take your career to the next level as a Senior ML-Ops Engineer at ShyftLabs.Focus on building reliable Machine Learning infrastructure for high-profile enterprise clients.ShyftLabs is on the lookou... Show more

 • Promoted

Senior Integration Engineer Specializing in Control Systems

AlstomToronto, ON, CA
Full-time

Join as a Senior Integration Engineer in the realm of Supervision Control Systems.Your insights will drive the integration processes for cutting-edge transport technologies in a nurturing team atmo... Show more

 • Promoted

ML Systems Integration Engineer

CerebrasToronto, ON, CA
Full-time

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... Show more

 • Promoted

Senior Engineer for ML and Software Solutions

Thomson Reuters CorporationToronto, ON, CA
Full-time

Advance your skills as a Senior Research Engineer at Thomson Reuters, focusing on machine learning and software development in a hybrid work environment.Engage in exciting projects and drive scalab... Show more

 • Promoted

Lead ML Engineer - MLOps/LLMOps

Manulife Financial CorporationToronto, ON, CA
Full-time

As a Lead ML Engineer focusing on MLOps and LLMOps at Manulife, you will be at the heart of a data-driven culture! You will serve as the product owner for Manulife's MLOps framework, standards, and... Show more

 • Promoted

Senior ML Engineer: LLM Retrieval & Agentic Workflows

KlueToronto, ON, CA
Full-time

A leading SaaS company in Toronto is hiring a Senior Machine Learning Engineer to lead the design and development of LLM-powered search and retrieval systems.The role encompasses architecting retri... Show more

 • Promoted

ML Platform Engineer at Mistplay

ODAIAtoronto, on, Canada
Full-time

Become a Principal Platform Engineer at Mistplay, focusing on ML infrastructure solutions while working hybrid in Toronto or Montreal.Create impactful real-time systems for model serving.In this ro... Show more

 • Promoted

Lead Systems Engineer for Space Systems

Kepler Communications Inc.toronto, on, Canada
Full-time

Shape the future of space connectivity at Kepler Communications as a Lead Systems Engineer.This strategic role focuses on satellite systems engineering and requires leadership to drive innovation.A... Show more

 • Promoted

Associate Systems Engineer

Manion, Wilkins & Associates Ltd.Toronto, ON, CA
Full-time

At Manion, we believe people thrive when they’re supported at work, at home, and in their communities.That’s why we’ve built a workplace rooted in trust, collaboration, and care, where your contrib... Show more

 • Promoted

Founding ML Engineer

DraftaidToronto, ON, CA
Full-time

DraftAid is building the intelligence layer for mechanical engineering.We started by auto-generating manufacturing drawings from 3D CAD parts.We are now building representations that enable us to g... Show more

 • Promoted

Senior Distributed Diffusion ML Engineer — Remote

Bagel LabsToronto, ON, CA
Remote
Full-time

A leading machine learning research lab is looking for an expert in distributed systems to design scalable infrastructure for diffusion models.The ideal candidate will have substantial experience i... Show more

 • Promoted

Principal MLOPs Engineer (Canada)

Rackspace Technologytoronto, on, Canada
Full-time

Be among the first 25 applicants.Get AI-powered advice on this job and more exclusive features.We are looking for a seasoned Principal ML OPS Engineer to architect, build, and optimize ML inference... Show more

 • Promoted

ML Engineer for Detection Systems at Doppel

DoppelToronto, ON, CA
Full-time

Be part of a revolutionary team at Doppel as a Machine Learning Engineer focused on detection systems.Your work will help counteract rising social engineering attacks across various digital channel... Show more

 • Promoted

Senior ML Engineer — Scale Production-Grade ML Systems

MIR Digital SolutionsToronto, ON, CA
Full-time

A leading technology firm in Toronto is seeking a Senior Machine Learning Engineer to build production-grade ML systems.The ideal candidate should have hands-on experience in deploying ML solutions... Show more

 • Promoted

Engineer for Systems Integration Testing

Net2Source (N2S)Markham, ON, CA
Full-time

Step into the role of Systems Test Validation Engineer and drive excellence in system integration plans and debugging.Collaborate with key teams to ensure zero quality escapes in our products.In th... Show more