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Startup jobs in United States

ML Software Integration & Quality Engineer

ML Software Integration & Quality Engineer
Cerebras
Toronto
CAD 85,000 - 120,000
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Health and Safety Coordinator

Health and Safety Coordinator
Bird Construction
Ottawa
CAD 75,000 - 95,000

Senior Software Engineer - Full Stack

Senior Software Engineer - Full Stack
Secureframe
Canada
Remote
CAD 80,000 - 120,000

Head of Marketing

Head of Marketing
Durable
Vancouver
CAD 160,000 - 275,000

Lead Product Manager, Inference Cloud

Lead Product Manager, Inference Cloud
Cerebras
Toronto
CAD 120,000 - 180,000
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Commissioning Technician Substations

Commissioning Technician Substations
TalentSphere Staffing Solutions
Edmonton
CAD 110,000 - 135,000

Client Service Lead, North America

Client Service Lead, North America
Crane Venture Partners
Canada
Remote
USD 80,000 - 120,000

Sr Manager of Operations (Maternity leave coverage contract, 8 months)

Sr Manager of Operations (Maternity leave coverage contract, 8 months)
Diagram
Toronto
CAD 75,000 - 100,000
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Hedge Funds, Operational Due Diligence Analyst – Vice President

Hedge Funds, Operational Due Diligence Analyst – Vice President
iCapital Network
Toronto
CAD 150,000 - 200,000

Data Engineer

Data Engineer
Medeloop
Montreal
CAD 80,000 - 120,000

Maintenance Technician - Electrical (Night Shift)

Maintenance Technician - Electrical (Night Shift)
Mars, Incorporated and its Affiliates
Newmarket
< CAD 110,000

Intermediate Product Engineer

Intermediate Product Engineer
Agentnoon
Richmond Hill
CAD 80,000 - 120,000

Senior Product Designer - Developer Experience & Applications

Senior Product Designer - Developer Experience & Applications
Cerebras
Toronto
CAD 80,000 - 120,000

Product Marketing Manager

Product Marketing Manager
Secureframe
Canada
Remote
CAD 75,000 - 95,000

Full Stack Developer

Full Stack Developer
Blocket AB
Toronto
CAD 80,000 - 120,000

Engineering Team Lead, Product Operation Management

Engineering Team Lead, Product Operation Management
Diagram
Toronto
CAD 110,000 - 150,000

Finance Manager (Brokerage)

Finance Manager (Brokerage)
moomoo
Toronto
CAD 80,000 - 120,000

Senior Consultant Routing

Senior Consultant Routing
First Student
Toronto
Remote
CAD 70,000 - 90,000

Lead Electrical Engineer - Water/Wastewater

Lead Electrical Engineer - Water/Wastewater
Black & Veatch
Markham
CAD 80,000 - 120,000

Data Analyst

Data Analyst
Rock Connections
Windsor
CAD 70,000 - 90,000

Industrial Mechanical & Hydraulics BMG Supervisor

Industrial Mechanical & Hydraulics BMG Supervisor
Tenaris
Sault Ste. Marie
CAD 75,000 - 100,000

Automation Systems Engineer

Automation Systems Engineer
Johnson Electric
Hamilton
CAD 80,000 - 110,000

Design and Quality Technician

Design and Quality Technician
BW Retail Solutions
New Dundee
CAD 60,000 - 90,000

Senior UI/Frontend Engineer

Senior UI/Frontend Engineer
Take-Two Interactive Software
Vancouver
CAD 87,000 - 130,000

Data Analyst

Data Analyst
Rocket Companies
Windsor
CAD 70,000 - 90,000

ML Software Integration & Quality Engineer

Cerebras
Toronto
CAD 85,000 - 120,000
Job description

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.

Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.

About The Role

As an MTS (ML Integration and Ops Engineer), you will play a pivotal role in bringing together all software and hardware components that makes large scale LLM model training simple and easy to use. You will be part of MIQ (ML Integration and Quality) team that will focus on SW components feature integration, ML training, pre deployment/production validation, driving POC's for customers and managing customer workloads. As part of this role, you will influence the best testing practice, good debugging methodology, effective cross team communication and advocate for world-class products.

Responsibilities
  • Drive technical projects involving multiple teams, various software and hardware components coming together to make large scale LLM model training simple and easy to use.
  • Bring good integration methodology, effective communication and strong debugging skills.
  • Break down complex tasks into smaller tasks. Be a problem solver.
  • Automation of workflows, testbed setups and building tools to monitor/debug.
  • Implement creative ways to break Cerebras software and identify potential problems.
  • Contribute to developing SW specifications with a focus on ML products.
Skills And Qualifications
  • Master's degree in computer science or EE with 0-6 years of industry experience.
  • Experience in product validation for compute/machine learning/networking/storage systems within a large-scale enterprise environment.
  • Experience debugging issues in large distributed systems environment.
  • Stong automation and programming skills using one or more programming languages like python, C++ or go.
  • Strong knowledge of software system design.
  • Knowledge of ML workflows and frameworks like Tensorflow or PyTorch.
Preferred Skills And Qualifications
  • Hands on experience with training LLMs.
  • Hands on experience working with container, Kubernetes.
  • Experience in driving projects across multiple teams.
Why Join Cerebras

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:

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

Read our blog: Five Reasons to Join Cerebras in 2025.

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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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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