Software Development Engineer In Test
CA$120,000 – CA$180,000 / yr base salary
Posted 14 Oct 2026
Advertised as “Software Development Engineer in Test - AI”
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Employment
- Hybrid
- Contract
- Full-time
| Base salary | CA$120,000 – CA$180,000 / yr |
|---|
Field of studyComputer Engineering, Computer Science (or related)
Study levelBachelor's or higher
Software Development Engineer in Test - AI
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-seated issues in distributed clusters, using telemetry and profiling tools to identify bottlenecks.
Required Skills and Qualifications:
-
Strong proficiency in Python (for automation and orchestration).