Software Quality Assurance Engineer

Cerence Inc.; Montreal; On-site; CAD 70,000 - 90,000; Full time

Job summary

Join a leading company in automotive voice AI as a Software Quality Assurance Engineer in Montreal. Contribute to product improvements, troubleshoot defects, and collaborate with teams in an Agile environment. Ideal candidates will have strong programming skills and QA experience, particularly in AI and cloud environments.

Qualifications

• 3+ years in software engineering, especially in AI, cloud, or ML environments.
• Strong QA techniques knowledge and experience in test planning.

Responsibilities

• Contribute improvements to products, processes, documentation, and QA best practices.
• Troubleshoot and analyze application and third-party partner defects.
• Develop Java JUnit classes and suites for RESTful microservice features.

Skills

Python

Java

Collaboration

Communication

Education

Bachelor's degree in CS

Engineering

Tools

Allure

Report Portal

Docker

Kubernetes

Helm

Puppet

Job description

Join to apply for the Software Quality Assurance Engineer role at Cerence AI .

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Responsibilities :

• Contribute improvements to products, processes, documentation, and QA best practices.
• Troubleshoot and analyze application and third-party partner defects in testing and production environments.
• Develop Java JUnit classes and suites to verify RESTful microservice features at various testing levels.
• Use purpose-built test harnesses with custom code for complex third-party integrations.
• Contribute to automated tests for load, performance, and sanity testing.
• Perform QA and Dev code reviews with peers.
• Troubleshoot code, write stories and bugs, and work through them in an Agile environment.
• Collaborate closely with developers and QA teams during project phases.
• Support DevOps in product launches on customer environments.
• Participate in off-hours deployments with advance notice.

Required Skills :

• Proficiency in Python, Java, or similar languages; experience with large language models (LLMs).
• Experience with automation, function calling, prompt engineering, RAG, VLLM, and fine-tuning models.
• Knowledge of QA tools like Allure, Report Portal is a plus.
• Bachelor's degree in CS, Engineering, or related; advanced degrees are a plus.
• 3+ years in software engineering, especially in AI, cloud, or ML environments.
• Strong QA techniques knowledge and experience in test planning.
• Excellent collaboration and communication skills, experience in Agile.

Preferred Skills :

• Experience with IDEs like IntelliJ or Eclipse.
• Experience with automated build environments, Docker, Kubernetes, Helm, Puppet.
• Proficiency in scripting, tool execution, documentation editing.

Join Cerence Inc., a leader in automotive voice AI, and be part of innovative industry growth.

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Quality Assurance Engineer • Montreal, Montreal (administrative region), Canada