Software Development Engineer in Test - AI

Delos Data Inc.
Palo Alto, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
$ 200K

Job location

Palo Alto, United States of America

Tech stack

Testing (Software)
Artificial Intelligence
Automation of Tests
Unit Testing
Profiling
Computer Engineering
Continuous Integration
Software Debugging
Distributed File Systems
Distributed Systems
Firmware
Github
Python
Network Protocols
Ansible
Software Testing Automation Framework
Systems Integration
Containerization
Gitlab-ci
Kubernetes
Information Technology
Terraform
Docker
SDET
Jenkins

Job 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.

Requirements

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.

Benefits & conditions

Pulled from the full job description

  • 401(k), Target base salary for this role is $140,000 - $200,000 per year + meaningful equity + benefits + 401k. Our salary ranges are determined by role, level, experience, and location.

About the company

We are a stealth-mode 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.

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