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Added 4 months ago
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Security Specialist – Digital Fraud
Ubisoft
Montreal, Quebec
- Full-time
…modern detection tools, you will partner with teams across Data, Engineering, Product, and Production to strengthen fraud prevention capabilities and respond to emerging threats. Your work…
Added 4 months ago
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Développeur(se) d'automatisation et d'infrastructure - Infrastructure & Automation Developer
Gameloft
Montreal, Quebec
- Full-time
We are looking for a talented FinOps Developer to join our team. This role focuses on automating the retrieval, validation, and reporting of infrastructure, software, database, and…
Added 4 months ago
M
Senior Systems MTS, Synthetic Aperture Radar (SAR) Missions
MDA
Richmond, British Columbia
- Full-time
…mission – bringing to bear a one-of-a-kind mix of experience, engineering excellence and wide-eyed wonder that’s been in our DNA since day one. For those who dream big and push boundaries…
Added 4 months ago
M
AI Engineer
Morningstar
Toronto, Ontario
- Full-time
We operate with a strong engineering culture: we question assumptions, prioritize impact over process, and focus on solving meaningful problems rather than executing predefined tasks.…
Added 4 months ago
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Senior Site Reliability Engineer
Morningstar
Toronto, Ontario
- Full-time
…building and maintaining the platforms that power our global data operations. We enable the Managed Investment Data (MID), Reference Entity Data (RED), Fixed Income, and Third Party Data,…
Added 4 months ago
TG
Senior Software Developer
TMX Group
Toronto, Ontario
- $120,000 to $130,000 CAD / year
- Full-time
We are looking for a Senior Software Developer who loves writing code but also enjoys thinking about how the entire system fits together. You will be a key player in our core development…
Added 2 months ago
Q
Senior Director, Technology
Qualcomm
Ottawa, ON
- Full-time
Engineering Group, Engineering Group > ASICS Engineering
Added 4 months ago
KS
Technical Artist | Artiste Technique - VOLTA
Keywords Studios
Remote, Canada
- Full-time
- Remote
Proven ability to build, maintain, and optimize tools and workflows in Autodesk Maya (Python and/or MEL)
Added 4 months ago
KS
Technical Artist | Artiste Technique - VOLTA
Keywords Studios
Remote, Canada
- Full-time
- Remote
Proven ability to build, maintain, and optimize tools and workflows in Autodesk Maya (Python and/or MEL)
Added 4 months ago
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Principal Software Developer – Data Architect
Caseware
Toronto, Ontario
- Full-time
We are seeking a Principal Software Developer – Data Architect to drive the technical vision and architectural
Added 4 months ago
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Software Developer – Back End
Symbiotic Digital
Unorganized North Algoma, Ontario · Downtown Toronto (Ryerson), Ontario
- Contract
of data engineering (ETL/ELT, Azure data services) and observability
Added 4 months ago
KC
Senior Satellite Systems Designer - Platform Architect
Kepler Communications
Toronto, ON
- Full-time
Our mission is to provide real-time on-orbit connectivity for critical missions, enabling a new era of data-driven intelligence and innovation. With 33 satellites launched to date, Kepler…
Added 4 months ago
KC
Satellite Systems Designer - Analysis & Support
Kepler Communications
Toronto, ON
- Full-time
Experience performing technical analysis using tools such as Python, MATLAB, STK, or equivalent engineering analysis tools
Added 2 months ago
Principal Engineer, Engineering Productivity & Tooling
Netskope
Toronto, ON
The Engineering Productivity Team at NetSkope builds the foundational CI/CD systems that enable our engineers to deliver industry-leading security products with speed and quality. We are…
Added 4 months ago
CP
Sr. Analyst, Energy Markets
Capital Power
Calgary, Alberta · Edmonton, Alberta
- Full-time
Proficiency in Excel, Python and data analysis tools; exposure to market models is an asset.
Added 4 months ago
CS
Inference ML API SDET
Cerebras Systems
Toronto, Ontario
- Full-time
…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…
Added 4 months ago
P
Senior AI Engineer
Paytm
Toronto, Ontario
- Full-time
…depend on AI - risk, fraud, collections, payments, support, developer experience - and design, build, and ship agentic systems into their production environments. You’ll also help build the…
Added 4 months ago
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Optical Components Test Engineer - Ottawa or Quebec City
Ciena
Ottawa, Ontario
- Full-time
Optical Components Test Engineering plays a critical role in enabling reliable, high‑volume manufacturing of Ciena’s optical component technologies. This position partners closely with…
Added 1 month ago
OT
Lead Financial Analyst
Open Text Corporation
Richmond Hill, ON · Waterloo, ON
- Other
Maintain and develop Python-based scripts and workflows to automate reporting, data transformation, and recurring analysis.
Added 4 months ago
Q
Senior Full Stack Engineer
Quandri
Vancouver, British Columbia
- Full-time
…will also contribute to building and driving a high-performing engineering culture of technical excellence that scales as headcount grows. Your expertise will be crucial in mentoring other…
Added 2 months ago
PL
Technical Lead - Actuarial Systems
PartnerRE Ltd.
Toronto, ON
- $110,000 to $150,000 CAD / year
Added 4 months ago
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Senior Software Engineer, Backend
d1g1t
Toronto, Ontario
- Full-time
This is a hands-on backend role for someone whose career has become deeply Python-focused. You should be comfortable navigating a mature codebase, owning features end-to-end, debugging…
Added 4 months ago
T
DevOps Solutions Architect
Teknion
Toronto, Ontario
- Full-time
Configure and manage Web Application Firewalls (Cloudflare WAF) and API gateways to safeguard Generative AI endpoints from emerging threats like prompt injection and data exfiltration.
Added 4 months ago
B
Product Engineer (Chemicals)
Basetwo
Remote, Canada
- Remote
This is a highly cross-functional role that combines engineering expertise, customer engagement, data and simulation analysis, and technical problem-solving. You’ll work directly with…
Added 4 months ago
F
Manager, Business Analysis (Core Lending Platform)
Financeit
Remote, Canada
- Full-time
- Remote
With critical thinking, advanced technical architecture and data engineering skills, and the opportunity to heavily impact a rapidly growing organization, this role might just be for you!

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.

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

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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