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Added 3 months ago
GD
Systems Engineer, Air & Naval Sonar, Intermediate/Working Level
General Dynamics Missions System International
Ottawa, Ontario
- Full-time
General Dynamics Mission Systems–Canada is looking for an experienced System Engineer to join our A&N Sonar team. In this role, you’ll lead systems engineering efforts that can span form…
Added 1 month ago
UT
Senior DevOps Engineer
Unity Technologies
Montreal, QC
- Full-time
Are you a visionary DevOps Engineer with a keen focus on driving modern infrastructure through Automation, Infrastructure-as-Code (IaC), and advanced CI/CD practices? At Unity Technologies…
Added 1 month ago
Staff Full stack Engineer [CONSUMER]
HelloFresh
Toronto, ON
Lead the design and delivery of scalable backend platforms and distributed systems, leveraging AI-assisted and agentic engineering workflows to accelerate delivery and improve system…
Added 3 months ago
I
Senior Data Engineer
iQmetrix
Winnipeg, MB
- Full-time
The Senior Data Engineer will design, build, and improve the data platform capabilities that power analytics, embedded reporting, operational data products, and AI-ready datasets.
Added 3 months ago
I
Senior Data Engineer
iQmetrix
Regina, SK
- Full-time
The Senior Data Engineer will design, build, and improve the data platform capabilities that power analytics, embedded reporting, operational data products, and AI-ready datasets.
Added 3 months ago
I
Senior Data Engineer
iQmetrix
Toronto, ON
- Full-time
The Senior Data Engineer will design, build, and improve the data platform capabilities that power analytics, embedded reporting, operational data products, and AI-ready datasets.
Added 3 months ago
I
Senior Data Engineer
iQmetrix
Vancouver, BC
- $110,000 CAD / year
- Full-time
The Senior Data Engineer will design, build, and improve the data platform capabilities that power analytics, embedded reporting, operational data products, and AI-ready datasets.
Added 1 month ago
Senior Data Platform Engineer
Tubi - Canada
Toronto, ON
The team is small and senior. Each engineer owns major platform components: you design it, build it, and support it in production.
Added 3 months ago
I
Applied Machine Learning
Ideogram
Toronto, ON
- Full-time
As an Applied ML Engineer at Ideogram, you’ll bridge research and product – turning frontier generative models into production features across our first-party app and API. You’ll experiment…
Added 1 month ago
Machine Learning Engineer, Lyft Business & Ads
Lyft
Toronto, ON
We're looking for a Machine Learning Engineer to design, build, and deploy ML systems across Lyft Business. This is a high-scope role: you won't be siloed into one problem area. Instead,…
Added 3 months ago
SD
Senior AI Engineer
Symbiotic Digital
Unorganized North Algoma, Ontario · Downtown Toronto (Ryerson), Ontario
- Contract
We are seeking a Senior AI Engineer to design, develop, and
Added 2 months ago
E
Développeur(-euse) principal(e) de logiciels (contenu) /Principal Software Development Engineer
Expedia
Montreal, QC · Canada - Quebec - Montreal
- Full-time
Added 1 month ago
Senior ML Data Processing Developer
LawZero
Montreal, QC
In this role, you will not just manage data; you will engineer its quality. You will design algorithmic filtering, build model-based scoring mechanics, and ensure rigorous benchmark…
Added 1 month ago
Sr. Systems Engineer, Ruckus
Belden Inc
Cobourg, ON
We are seeking a Systems Engineer to support our Eastern Canada territory, serving our customers, partners, and Canadian Federal Government clients. Candidates must be based in the Montreal…
Added 3 months ago
E
Développeur(-euse) principal d’application mobile − Android / Senior Mobile Developer – Android
Expedia
Montreal, Quebec · Canada - Quebec - Montreal
- Full-time
Added 3 months ago
E
Développeur(-euse) de logiciels sénior(e) (contenu) / Senior Software Development Engineer
Expedia
Montreal, Quebec · Canada - Quebec - Montreal
- Full-time
Added 3 months ago
CS
Inference ML API SDET
Cerebras Systems
Toronto, Ontario
- 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…
Added 3 months ago
Senior Security Engineer, AI Security
Amazon
Vancouver, British Columbia
The Amazon AI Security team is looking for a Security Engineer to design security controls and help validate that our AI/ML services, applications, and emerging technologies are designed…
Added 4 months ago
P
Senior AI Engineer
Paytm
Toronto, Ontario
- Full-time
…collections, payments, support, developer experience - and design, build, and ship agentic systems into their production environments. You’ll also help build the platform underneath:…
Added 4 months ago
C
Senior Data Engineer (Streaming + AI Systems)
Calliere
Toronto, Ontario · Greater Toronto Area, Ontario
- Full-time
…data platform from the ground up. They’re hiring a Senior Data Engineer to lead the design and evolution of real-time data systems and scalable architecture supporting both operational…
Added 4 months ago
TG
AI & ML Intern - Electrical Engineer
Trench Group GmbH
Toronto, Ontario
- $22 to $26 CAD / hour
…role, you will contribute to the development of intelligent design tools and automated documentation solutions that modernize and streamline how we engineer and deliver air core reactors.…
Added 4 months ago
W
Staff Software Development Engineer
Wagepoint
Remote, Canada
- $140,000 to $170,000 CAD / year
- Full-time
- Remote
We're looking for a talented Staff Software Development Engineer who enjoys tackling hard problems and wants to create meaningful impact for small businesses across Canada. You will be a…
Added 4 months ago
I
Senior AI Engineer
iManage
Toronto, Ontario
- Full-time
You are passionate about building and deploying AI systems that work at scale in production. You will work within the Applied AI team alongside engineers, data scientists, and product…
Added 4 months ago
ID
Sr Data Engineer -
iLink Digital
Toronto, Ontario · East Toronto (Studio District), Ontario
- Full-time
We are seeking a highly skilled Databricks Engineer with
Added 4 months ago
FB
Senior AI Software Engineer
fgf brands
Toronto, ON · Greater Toronto Area, ON
- Other
We are seeking a Senior AI software Engineer to serve as a key technical driver within our data science team. In this role, you will be the bridge between conceptual AI research and robust,…

Cerebras Systems

Inference ML API SDET

Toronto, ON, Canada

Full-time

Apply About employer

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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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