Software Development Engineer in Test - AI

Delos Data

Montreal

Ibrido

CAD 120.000 - 180.000

Tempo pieno

7 giorni fa
Candidati tra i primi

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Descrizione del lavoro

Delos Data in Montreal is seeking a Software Development Engineer in Test (SDET) to ensure reliability and performance of our AI infrastructure. You will build scalable automation frameworks and stress-testing suites for distributed systems, GPU kernels, and AI frameworks.

Responsibilities include creating end-to-end test plans, debugging complex failures with telemetry and profiling, and partnering with System Engineers to optimize performance and reliability at scale.

Competenze

  • Strong Python skills for automation and orchestration.
  • Experience building or extending test automation frameworks for complex back-end systems.
  • Ability to troubleshoot automated test failures in large-scale distributed systems.

Mansioni

  • Design, develop, and maintain a robust automated testing framework for distributed AI workloads.
  • Develop complex test plans covering end-to-end system integration and stress testing.
  • Collaborate with System Engineers to debug deep-seeded issues using telemetry and profiling tools.

Conoscenze

Python
Test automation
Distributed systems
Docker
Kubernetes
CI/CD

Formazione

Bachelor's or Master's in Computer Engineering/CS

Strumenti

Docker
Kubernetes
GitHub Actions
GitLab CI
Jenkins

Descrizione del lavoro

About Us

We are a startup building foundational technology to address performance, scalability, and resiliency challenges in large-scale AI data center clusters. We are backed by top-tier VC firms and notable angel investors.

About Us

We are a startup building foundational technology to address performance, scalability, and resiliency challenges in large-scale AI data center clusters. We are backed by top-tier VC firms and notable angel investors. The company is led by experienced builders and operators who have founded companies, taken them to scale, and exited successfully. We work with a strong sense of unity and shared responsibility, and we expect trust, integrity, and respect in how we collaborate and make decisions. We hold ourselves accountable to one another and to the quality of the work we deliver. Headquartered in Silicon Valley, we operate across a mix of remote and on-site locations in the U.S. and Canada. We aim to create an environment where people are treated fairly, supported in their growth, and are empowered to do meaningful work alongside others who take the craft seriously.

Some Recent Press:

https://www.eetimes.com/startup-boosts-scale-up-to-1000-gpus-in-a-single-domain/

We Are Looking For

We are looking for a Software Development Engineer in Test (SDET) to ensure the reliability and performance of our core AI infrastructure. In this role, you are an engineer who builds sophisticated automation frameworks and stress-testing suites to break and then harden our system. You will be responsible for validating the intersection of distributed systems, GPU kernels, and AI frameworks. You will build a scalable foundation of trust in our code, ensuring that our performance‑critical primitives work every time, 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‑seeded issues in distributed clusters, using telemetry and profiling tools to identify bottlenecks.
Required Skills And 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).
Desired Skills
  • Experience with Kubernetes or 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.
Education
  • Bachelor's or Master's degree in Computer Engineering, Computer Science, or a related field.
Location

This is a hybrid role based in Montreal.

Compensation

Target base salary for this role is $120,000 - $180,000 CAD per year + meaningful equity + benefits + RRSP. Our salary ranges are determined by role, level, experience, and location.

We are an equal opportunity employer. We value a range of perspectives and experiences and make employment decisions based on merit and business needs. We do not discriminate on the basis of legally protected characteristics.

Agency Note

We do not accept resumes from agencies or search firms. Please do not forward candidate profiles through our careers page, email, LinkedIn messages, or directly to company employees. Any resumes submitted will be deemed the property of the company, and no fees will be paid in the event the candidate is hired.

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