QA Tech Lead, Web Consoles - Inference Service

Cerebras Systems Inc.; Toronto; Hybrid; CAD 90,000 - 120,000; Full time

Job summary

A leading AI technology company in Toronto is seeking an experienced QA Manager to lead functional testing of customer-facing components, develop automation frameworks, and establish testing standards. Ideal candidates will have over 5 years of experience in cloud-based QA systems and a passion for user experience. This role follows a hybrid schedule requiring in-office presence three days a week.

Qualifications

• 5+ years of experience in QA for cloud-based SaaS or API services.
• Proven ability to influence product quality decisions.
• Experience mentoring junior QA engineers.

Responsibilities

• Lead functional testing of customer-facing components.
• Develop and maintain automation frameworks and test suites.
• Establish standards for test planning and execution.

Skills

Leading quality metrics

User experience focus

Excellent communication

Building QA systems

Mentoring QA engineers

Proficiency with Python automation

Cloud-based infrastructure experience

Tools

Python

pytest

Playwright

Cypress

GitHub Actions

Jenkins

CircleCI

Job description

Overview

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.

Responsibilities

• Lead functional testing of all customer‑facing components, coordinating closely with development and automation teams.
• Participate in architectural and test‑strategy discussions to identify and close quality gaps.
• Develop and maintain automation frameworks (Python / pytest) and front‑end / back‑end test suites using Playwright, Cypress etc.
• Create comprehensive test strategies aligned with product goals, technical architecture, and customer experience.
• Establish standards for test planning, execution, and documentation; mentor QA engineers and champion best practices.
• Build tooling and CI / CD integrations (GitHub Actions, Jenkins, CircleCI) to enable faster feedback cycles and scalable test coverage.
• Lead cross‑functional collaboration with engineers, product managers, UX, and design to embed quality from ideation through release.
• Define and drive key quality metrics; triage defect patterns and deliver actionable insights through dashboards and reports.
• Proactively identify future testing needs across cloud, edge, and device interfaces and shape the long‑term QA roadmap.
• Collaborate with SWEs and QAEs across US, Canada, and India to establish clear and testable requirements and acceptance criteria.

Qualifications

• Proven track record of leading from the front, defining quality metrics, driving dashboards / reports, and influencing product quality decisions.
• Passion for user experience, accessibility, and long‑term product health.
• Excellent communication skills emphasizing collaboration, documentation, and continuous improvement.
• 5+ years of experience building QA systems for cloud-based SaaS and / or API services, preferably of AI systems.
• Ability to build and maintain test tooling and infrastructure that supports continuous integration and scalable coverage.
• Experience mentoring junior QA engineers and establishing best‑practice test processes across teams.
• Proficiency with Python automation frameworks (pytest) and modern web‑test tools (Playwright, Cypress).
• Hands‑on experience with cloud‑based infrastructure and CI / CD pipelines (GitHub Actions, Jenkins, CircleCI).

Location

• This role follows a hybrid schedule, requiring in-office presence 3 days per week. Please note, fully remote is not an option.
• Office locations : Toronto

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.

Apply for this job

Interested in joining Cerebras? Please submit your application with a resume / CV and any other required details through the stated process.

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.