Software Development Engineer in Test - AI

Delos Data Inc; Palo Alto (CA); Hybrid; USD 140,000 - 220,000; Full time

Benefits offered by this job

Equity

Benefits

401(k)

Job summary

Delos Data Inc. in Palo Alto hybrid is seeking a Software Development Engineer in Test to ensure the reliability and performance of our core AI infrastructure. You will build sophisticated automation frameworks and stress-testing suites to break and harden our system.

You will validate the intersection of distributed systems, GPU kernels, and AI frameworks, building trust in code and ensuring performance-critical primitives work at scale.

Qualifications

• Proficient in Python 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 and identify root causes.

Responsibilities

• Design, develop, and maintain a robust automated testing framework for distributed AI workloads.
• Develop end-to-end test plans, including stress tests and hardware/software boundary conditions.
• Collaborate with System Engineers to debug deep-rooted issues using telemetry and profiling tools.

Skills

Python scripting

Test automation

Automation framework design

Distributed systems troubleshooting

CI/CD tooling familiarity

Education

Bachelor's or Master's degree in Computer Engineering or Computer Science

Tools

Docker

Kubernetes

GitHub Actions

GitLab CI

Jenkins

Terraform

Ansible

Job description

Software Development Engineer in Test - AI

About us:

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.

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‑stated 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 Palo Alto.

Compensation:

Target base salary for this role is $140,000 - $220,000 per year + meaningful equity + benefits + 401k. 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.

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