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# Software Development Engineer in Test - AI

- **Company:** Delos Data Inc.
- **Location:** Palo Alto, CA, United States
- **Salary:** $140,000.0 - $200,000.0
- **Contract:** Permanent contract
- **Skills:** Testing (Software), Artificial Intelligence, Automation of Tests, Unit Testing, Profiling, Computer Engineering, Continuous Integration, Software Debugging, Distributed File Systems, Distributed Systems, Firmware, Github, Python (Programming Language), Network Protocols, Ansible, Software Testing Automation Framework, Systems Integration, Containerization, Gitlab-ci, Kubernetes, Information Technology, Terraform, Docker, SDET, Jenkins
- **Published:** May 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=46e3f8d6a4f9e6cb

## About the Role

Do you have experience in System troubleshooting?, Do you have a Master's degree?, * 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.

## Description

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., * 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.


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