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Software Development Engineer in Test - AI

Delos Data

hybridmidpermanentqabackend Palo Alto, CA Yesterday via LinkedIn
140,000 - 200,000 USD/annual

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Tags

PythonTest AutomationSDETDistributed SystemsStress TestingDockerKubernetesCI/CDTelemetryAI Infrastructure

About the role

Role Overview

Delos Data is hiring a Software Development Engineer in Test (SDET) – AI to ensure the reliability and performance of its core AI infrastructure. You will build automation and stress-testing suites that help “break and harden” distributed AI systems across hardware and software boundaries.

Responsibilities

  • Design, develop, and maintain automated testing frameworks from the ground up for distributed AI training and inference workloads.
  • Create complex test plans beyond unit tests, including end-to-end integration, stress testing, and hardware-software boundary validation.
  • Collaborate with System Engineers to debug deep issues in distributed clusters using telemetry and profiling to identify bottlenecks.

Required Skills / Qualifications

  • Strong proficiency in Python for automation and orchestration.
  • Experience building/extending test automation frameworks for complex back-end systems.
  • Ability to troubleshoot automated test failures in large-scale distributed systems and identify root causes.
  • Experience with containerization (Docker/Kubernetes) and modern CI/CD tools (GitHub Actions, GitLab CI, or Jenkins).
  • Education: Bachelor’s or Master’s in Computer Engineering, Computer Science, or related field.

Desired Skills

  • Experience with Kubernetes and/or Terraform and/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.

Compensation

  • Target base salary: $140,000–$200,000/year plus meaningful equity, benefits, and 401(k).

About Delos Data

Delos Data is a stealth-mode startup building foundational technology for large-scale AI data center clusters. The company focuses on performance, scalability, and resiliency, working across distributed systems and AI infrastructure with a mix of remote and on-site locations in the U.S. and Canada.

Scraped 4/1/2026

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