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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
KC
Forward Deployed AI Engineer
Keyrus Canada
Toronto, ON · Montreal, QC
- Full-time
…skills - you will develop judgment. Your expertise sharpens with every AI strategy you define, every architecture you design, and every executive decision you help…
Added 2 months ago
F
Software Engineer: Full-Stack
Fiscal.ai
Remote, Canada
- Full-time
- Remote
Location: Remote with occasional in-person work in our co-working space in downtown Toronto.
Added 2 months ago
Senior Software Enginner- Global Payments Engineering
Scotiabank
Toronto, ON · Scarborough, ON
Familiar with languages, frameworks, and databases (such as Java/Spring, Node.js/Express.js, Python, MySQL, PostgreSQL, MongoDB, DB2)
Added 2 months ago
Actuarial Associate with ASA, Biometric Research
Munich Re
Toronto, ON
…experience analysis, and assumption construction while working with some of the largest and richest datasets in the North American insurance…
Added 4 months ago
M
AI Engineer
Morningstar
Toronto, Ontario
- Full-time
Experience with Python and the PostgreSQL ecosystem
Added 4 months ago
M
Senior Site Reliability Engineer
Morningstar
Toronto, Ontario
- Full-time
Collaborate with software engineers and data engineers to embed SRE best practices into the development lifecycle, including SLOs, error budgets, and capacity planning.
Added 4 months ago
TG
Senior Software Developer
TMX Group
Toronto, Ontario
- $120,000 to $130,000 CAD / year
- Full-time
Core Languages: 5–7 years of experience with Python and C++.
Added 2 months ago
Q
Senior Director, Technology
Qualcomm
Ottawa, ON
- Full-time
Experience with PERL, TCL, Python and C/C++ programming
Added 2 months ago
EG
Water Resources Engineer
Egis Group
Toronto, ON
- $85,000 to $115,000 CAD / year
- Full-time
Experience with automation, including but not limited to Dynamo and Python, is considered an asset.
Added 4 months ago
C
Principal Software Developer – Data Architect
Caseware
Toronto, Ontario
- Full-time
…global audit and accounting software industry for over 30 years, with more than 500,000 users across 130 countries and available in 16 different languages. While you might not have heard of…
Added 4 months ago
E
Research Associate, Semiconductors & AI Infrastructure - 26229D
Enverus
Calgary, Alberta
- Full-time
Familiarity with SQL, Python, or data tools is a plus, not a requirement.
Added 4 months ago
KC
Senior Satellite Systems Designer - Platform Architect
Kepler Communications
Toronto, ON
- Full-time
…enabling a new era of data-driven intelligence and innovation. With 33 satellites launched to date, Kepler operates the first commercial optical data relay constellation, enabling…
Added 4 months ago
KC
Satellite Systems Designer - Analysis & Support
Kepler Communications
Toronto, ON
- Full-time
…enabling a new era of data-driven intelligence and innovation. With 33 satellites launched to date, Kepler operates the first commercial optical data relay constellation, enabling…
Added 2 months ago
Principal Engineer, Engineering Productivity & Tooling
Netskope
Toronto, ON
…our engineers to deliver industry-leading security products with speed and quality. We are looking for an experienced Principal Software Engineer to own and drive our CI/CD strategy, with a…
Added 4 months ago
CS
Inference ML API SDET
Cerebras Systems
Toronto, Ontario
- Full-time
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…
Added 2 months ago
Actuarial Expert - Pricing Modeling
Wawanesa Insurance
Toronto, ON · Winnipeg, MB · Moncton, NB · Thunder Bay, ON · Ottawa, ON · Kitchener, ON · Montreal, QC · Vancouver, BC · Lloydminster, AB · Dartmouth, NS · Edmonton, AB · Calgary, AB · Lethbridge, AB · North York - Toronto, ON (Hybr, ON
Persuasive with the conclusions from their work. Often presents their work to Director + level. Fully proficient with Excel, SQL, R, Python, or other specialized programs.
Added 2 months ago
Q
Connectivity Systems Engineer, Staff
Qualcomm
Toronto, ON
- Full-time
…of 100+Gbps/lane electrical and optical links using Matlab, Python and/or other programming languages. They'll also be able to correlate lab measurements with a system model and improve…
Added 4 months ago
P
Senior AI Engineer
Paytm
Toronto, Ontario
- Full-time
…millions of live transactions. Closing it is the job. You’ll embed with the teams and customers who depend on AI - risk, fraud, collections, payments, support, developer experience - and…
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
Q
Senior Full Stack Engineer
Quandri
Vancouver, British Columbia
- Full-time
…technical roadmaps. The ideal candidate is excited by the improved developer velocity impacts of AI-driven development tools. You are adaptable, curious, and driven, with a passion for…
Added 4 months ago
MT
Senior Applications Analyst
McCarthy Tétrault LLP
Vancouver, British Columbia
- Full-time
…business solutions to clients in Canada and around the world. With offices in Toronto, Montréal, Québec City, Calgary and Vancouver, we provide challenging and rewarding career…
Added 4 months ago
MT
Senior Applications Analyst
McCarthy Tétrault LLP
Toronto, Ontario
- Full-time
…business solutions to clients in Canada and around the world. With offices in Toronto, Montréal, Québec City, Calgary and Vancouver, we provide challenging and rewarding career…
Added 4 months ago
MT
Senior Applications Analyst
McCarthy Tétrault LLP
Montreal, Quebec
- Full-time
…business solutions to clients in Canada and around the world. With offices in Toronto, Montréal, Québec City, Calgary and Vancouver, we provide challenging and rewarding career…
Added 4 months ago
MT
Senior Applications Analyst
McCarthy Tétrault LLP
Calgary, Alberta
- Full-time
…business solutions to clients in Canada and around the world. With offices in Toronto, Montréal, Québec City, Calgary and Vancouver, we provide challenging and rewarding career…

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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