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Software Development Engineer in Test - AI

Delos Data - Montreal, QC, Canada - Hybrid - posted 2026-10-14

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Salary: CAD 120,000 - 180,000 / annual

Delos Data is a venture-backed startup building foundational technology to address performance, scalability, and resiliency challenges in large-scale AI data center clusters. The company is led by experienced founders and operators with successful exits, headquartered in Silicon Valley with distributed teams across the US and Canada. You will join as a Software Development Engineer in Test (SDET) responsible for ensuring the reliability and performance of the company's core AI infrastructure. In this role, you will build sophisticated automation frameworks and stress-testing suites designed to break and harden the system. Your work will validate the intersection of distributed systems, GPU kernels, and AI frameworks, creating a scalable foundation of trust in the codebase and ensuring that performance-critical primitives work reliably at any scale. Key Responsibilities: - Design, develop, and maintain a robust automated testing framework from the ground up that supports distributed AI training and inference workloads - Develop complex test plans that go beyond unit tests, focusing on end-to-end system integration, stress testing, and hardware-software boundary conditions - Partner closely with System Engineers to debug deep-seated issues in distributed clusters, using telemetry and profiling tools to identify bottlenecks Required Qualifications: - Strong proficiency in Python for automation and orchestration - Proven experience building or extending test automation frameworks for complex back-end systems - Proven ability to troubleshoot automated test failures within complex large-scale distributed systems and identify root causes - Experience with containerization (Docker/Kubernetes) and modern CI/CD tools (GitHub Actions, GitLab CI, or Jenkins) - Bachelor's or Master's degree in Computer Engineering, Computer Science, or a related field Desired Qualifications: - Experience with Kubernetes, Terraform, or Ansible for managing test-bed environments - Experience testing high-performance networking protocols or distributed file systems - Experience testing software that interacts directly with drivers or firmware

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