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Added 2 months ago
Senior IT Application Specialist
Geotab
Oakville, ON · Toronto, ON · Waterloo, ON
…and n8n; and design AI agent skills and autonomous workflows with production-grade governance. You will also perform daily health checks, drive automation of health monitoring, lead…
Added 4 months ago
GC
Forward Deployed Engineer (AI Practice)
Greenlight Consulting
North York, Ontario
- $90,000 to $130,000 CAD / year
Lead technical discovery workshops with C-suite, IT architects, and operations leaders - identifying high-value AI automation opportunities and translating complex operational workflows…
Added 4 months ago
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Senior Programmer - Mobile (Engine, Rendering, Tools, UI) / Programmeur sénior – Mobile (Moteur, Rendu, Outils, Interface utilisateur)
NBCUniversal
Montreal, Quebec
- Full-time
Collaborate closely with designers, artists, and engineers to integrate systems across gameplay, tools, and pipelines.
Added 3 months ago
AT
Principal Software Developer(Platform)
Aspen Technology
Montreal, Quebec
- Full-time
Experience with Agile development frameworks such as SAFe or Scrum.
Added 4 months ago
B
QNX Senior Security Researcher
BlackBerry
Ottawa, ON
- Full-time
Practical experience with fuzzing frameworks such as AFL, libFuzzer, or similar technologies
Added 4 months ago
B
QNX Senior Security Researcher
BlackBerry
Ottawa, Ontario
- Full-time
Practical experience with fuzzing frameworks such as AFL, libFuzzer, or similar technologies
Added 4 months ago
N
Senior Scientist - Manufacturing Development
nomic
Montreal, Quebec
- Full-time
Hands‑on experience with automation‑enabled workflows and instrumentation (liquid handlers, plate readers, washers, dispensers, imaging systems), coupled with strong data analysis (Python…
Added 4 months ago
SD
Senior AI Engineer
Symbiotic Digital
Unorganized North Algoma, Ontario · Downtown Toronto (Ryerson), Ontario
- Contract
with Infrastructure as Code and automation tools
Added 4 months ago
M
Senior Test Automation Developer
MNP
Calgary, Alberta
- Full-time
Make an impact with our Technology - Development team as a Senior Test Automation Developer. This diverse team of tech-savvy builders and problem solvers embraces digital transformation,…
Added 4 months ago
H
Satellite and Payload System Test Authority | Hybrid/Remote Opportunity | Fastwater Staffing
HIKINEX
Remote, Canada
- Full-time
- Remote
Develop automation tools and scripts using Python or other scripting languages to improve testing efficiency.
Added 4 months ago
AI Platform Engineer - DevOps
Staffinity Inc
Halifax, Nova Scotia
…explicitly focused on developing value-add services that integrate with an existing DevOps stack, championing developer experience, and accelerating CI/CD pipeline automation within an…
Added 4 months ago
U
Security Specialist – Digital Fraud
Ubisoft
Montreal, Quebec
- Full-time
Strong working knowledge of SQL and Python for data analysis, automation, and investigations
Added 4 months ago
M
Senior Site Reliability Engineer
Morningstar
Toronto, Ontario
- Full-time
Proficiency in scripting languages such as Python or Bash for automation and operational tooling.
Added 4 months ago
CS
Inference ML API SDET
Cerebras Systems
Toronto, Ontario
- Full-time
Deep expertise in automation and programming using one or more languages such as Python, C++, or Go; ability to design and build reusable test frameworks from the ground up.
Added 1 month ago
OT
Lead Financial Analyst
Open Text Corporation
Richmond Hill, ON · Waterloo, ON
- Other
Strong programming skills in Python, with experience building scripts, workflows, or automation solutions.
Added 4 months ago
MT
Senior Applications Analyst
McCarthy Tétrault LLP
Vancouver, British Columbia
- Full-time
…capabilities across the application portfolio, ensuring alignment with user requirements and business objectives. This includes overseeing the full application lifecycle from planning and…
Added 4 months ago
MT
Senior Applications Analyst
McCarthy Tétrault LLP
Toronto, Ontario
- Full-time
…capabilities across the application portfolio, ensuring alignment with user requirements and business objectives. This includes overseeing the full application lifecycle from planning and…
Added 4 months ago
MT
Senior Applications Analyst
McCarthy Tétrault LLP
Montreal, Quebec
- Full-time
…capabilities across the application portfolio, ensuring alignment with user requirements and business objectives. This includes overseeing the full application lifecycle from planning and…
Added 4 months ago
MT
Senior Applications Analyst
McCarthy Tétrault LLP
Calgary, Alberta
- Full-time
…capabilities across the application portfolio, ensuring alignment with user requirements and business objectives. This includes overseeing the full application lifecycle from planning and…
Added 4 months ago
T
DevOps Solutions Architect
Teknion
Toronto, Ontario
- Full-time
You will interface directly with your senior technology leaders to transform business and technology capabilities. You will be a dedicated contributor to senior leaders as they define a…
Added 4 months ago
TG
AI & ML Intern - Electrical Engineer
Trench Group GmbH
Toronto, Ontario
- $22 to $26 CAD / hour
Proficiency with Python and ML libraries (such as TensorFlow or PyTorch).
Added 4 months ago
IL
Senior Software Quality Engineer
Invesco Ltd.
Charlottetown, Prince Edward Island
- Full-time
…Domain. This role provides deep technical expertise, drives automation maturity, mentors junior analysts, and partners closely with Engineering, Product, and DevOps teams to uphold quality…
Added 4 months ago
A
IT Systems Engineer
Aalyria
Canada
- $115,000 to $145,000 CAD / year
Build and maintain automation for IT workflows using Python, Cloud Functions, or workflow tools
Added 4 months ago
EG
Senior Water Resources Engineer, Land Development
Egis Group
Toronto, Ontario
- $105,000 to $130,000 CAD / year
- Full-time
Experience with automation tools such as Dynamo or Python.
Added 1 month ago
M
Spécialiste Senior, Automatisation des Données et Ingénierie /Sr. Specialist, Data Automation Engineering
McKesson
Remote, Canada
- Full-time
- Remote
Partner with Data teams to identify automation opportunities and reduce manual effort across the data lifecycle

Cerebras Systems

Inference ML API SDET

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Experience: 5+ years of relevant industry experience in software integration, development, or quality engineering.
Posting language: English
Posted: Jun 29, 2026

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 Team

The ML API Quality team is responsible for the confidence behind every production release shipped to Cerebras Inference Cloud. We work closely with platform, infrastructure, ML systems, and product engineering teams to ensure that rapid iteration never comes at the expense of customer trust. Our environment spans distributed cloud systems, multi-region deployments, APIs, orchestration layers, and hardware-backed inference services.

We are scaling quickly. The systems are growing in complexity, traffic is increasing rapidly, and release velocity remains high. We need engineers who can build quality systems that scale with the business.

About The Role

As a Senior Software Engineer in Test for the ML API features team, you will lead testing strategy and execution for AI/ML models, evaluating accuracy, fairness, and performance at scale. You will serve as a key technical leader in delivering and validating all software and hardware components for Cerebras API Features. You will own software components feature integration quality and drive pre-deployment and production validation for Cerebras inference solutions. In this role, you will define and champion best testing practices, establish robust debugging methodologies, and mentor junior engineers while advocating for world-class product quality.

Responsibilities

Architect and own end-to-end test strategies for new features, developing scalable tests, frameworks, and tooling to ensure quality.
Lead contributions to industry-standard benchmarks and drive adoption of rigorous evaluation methodologies.
Define and drive automation initiatives to significantly improve internal engineering efficiency and test coverage.
Make strategic decisions around coverage trade-offs, resource requirements, and risk-based testing priorities.
Serve as a technical anchor in a highly agile environment, adapting quickly to shifting priorities while maintaining quality standards.
Mentor and guide junior SDETs on testing methodology, debugging practices, and automation development.
Proactively identify systemic quality gaps and drive cross-functional initiatives to address them.
Lead and facilitate effective technical communication across teams and time zones.

Skills & Qualifications

5+ years of relevant industry experience in software integration, development, or quality engineering.
Deep expertise in automation and programming using one or more languages such as Python, C++, or Go; ability to design and build reusable test frameworks from the ground up.
Proven experience testing compute, machine learning, networking, or storage systems within large-scale enterprise environments.
Strong track record of debugging complex issues across distributed, scaled-out deployments.
Demonstrated ability to lead cross-functional quality initiatives involving product development, product management, customer operations, and field teams.
Excellent verbal and written communication skills, with experience presenting technical findings to both engineering and leadership audiences.
Strong organizational skills, ownership mindset, and ability to drive projects to completion independently.
Experience leading and mentoring engineers across geographically dispersed teams and time zones.

Preferred Skills & Qualifications

Hands-on experience with ML workloads including LLM and/or multimodal training or inference.
Deep familiarity with hardware architecture, performance optimizations, compilers, and ML frameworks.
Experience designing test strategies for distributed systems, cloud infrastructure, and security validation.
Experience with microservices deployment, debugging, and orchestration at scale.
Prior experience owning or significantly contributing to a team's quality engineering culture or test infrastructure.

Location

This role follows a hybrid schedule, requiring in-office presence 3 days per week. Fully remote is not an option.

Office locations: Sunnyvale, CA | Toronto, Canada

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:

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

Lead the testing strategy and execution for AI/ML models, focusing on accuracy, fairness, and performance at scale for the ML API features team. Architect end-to-end test strategies and drive automation initiatives to improve engineering efficiency and product quality.

Requirements

Requires over 5 years of industry experience in software integration or quality engineering with deep expertise in Python, C++, or Go. Candidates should have a proven track record of testing large-scale compute, ML, or distributed systems in enterprise environments.

Skills

Python
C++
Go
Automation Frameworks
ML Testing
Distributed Systems
API Testing
Debugging
Performance Optimization
LLM Inference
Multimodal Training
Microservices
Cloud Infrastructure
Test Strategy
Mentoring
Cross-functional Leadership

Visa sponsorship

Not detected in the job text

Keywords

Inference
ML API
SDET
Cerebras
AI Chip
LLM
Multimodal
Distributed Systems
Cloud Infrastructure
Python
C++
Go
Microservices
Orchestration
Benchmarks
Evaluation Methodologies
Hardware Architecture
Compilers
ML Frameworks
Security Validation
API Features
Quality Engineering
Automation
Scalability
Performance Optimization

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