QA Tech Lead, Web Consoles - Inference Service

Cerebras Systems; Toronto; Hybrid; CAD 90,000 - 115,000; Full time

Job summary

A leading AI technology company in Toronto is seeking a QA Tech Lead – Web Consoles to drive quality in their AI inference service. The ideal candidate will lead functional testing, develop automation frameworks, and establish best practices for QA processes. A collaborative environment with a focus on user experience and product health is essential. The role requires in-office presence 3 days a week, fostering teamwork and innovation.

Benefits

Innovative work environment

Opportunities for continuous learning

Diverse and inclusive culture

Qualifications

• 5+ years of experience building QA systems for cloud-based SaaS and/or API services.
• Proven track record of leading QA initiatives and influencing product quality decisions.
• Experience working with cloud-based infrastructure and CI/CD pipelines.

Responsibilities

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

Skills

Quality metrics definition

Collaboration

User experience

Mentoring QA engineers

Python automation frameworks

Hands-on CI/CD experience

Tools

pytest

Playwright

Cypress

GitHub Actions

Jenkins

CircleCI

Job description

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.

About The Role

We are seeking an experienced QA Tech Lead – Web Consoles to join the Cerebras AI Inference Service organization. The individual needs to technically lead a team, facilitate adaptations of new methodology and proven experiences into the role, is capable of hands‑on work whenever needed, and has excellent teamwork and problem‑solving abilities. The ideal candidate is a leader who can drive growth, quality and ownership to thrive in a rapidly changing environment.

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.
• Perform UI/UX and web‑application testing across browsers, devices, and environments.
• 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.

Skills And 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.

Read our blog: Five Reasons to Join Cerebras in 2025.

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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