Build Python automation for AI infrastructure in a hybrid Montreal SDET role, validating distributed systems, GPU kernels, and AI frameworks.

As a Software Development Engineer in Test, you will strengthen reliability and performance across core AI infrastructure. You will create automation frameworks and stress-testing suites for distributed training and inference workloads. The work spans integration testing, telemetry, profiling, and hardware-software boundaries.

Key Responsibilities:

- Build automated testing frameworks for distributed AI workloads
- Develop end-to-end integration and stress-testing plans
- Test hardware-software boundary conditions beyond unit tests
- Debug distributed cluster issues with System Engineers




- Use telemetry and profiling tools to identify bottlenecks

Requirements:

- Strong Python proficiency for automation and orchestration
- Experience building test automation for complex back-end systems
- Ability to identify root causes in distributed test failures
- Experience with Docker, Kubernetes, and up-to-date CI/CD tools
- Computer Engineering or Computer Science bachelor's or master's degree

Apply Python, distributed systems testing, and profiling expertise to harden performance-critical AI infrastructure in Montreal.

📌 AI Infrastructure Test Automation Engineer (Montreal)
🏢 Delos Data
📍 Montreal