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Salary: USD 140,000 - 220,000 / annual
Delos Data is a stealth-mode startup building foundational technology to address performance, scalability, and resiliency challenges in large-scale AI data center clusters. The company is backed by top-tier VC firms and notable angel investors, led by experienced founders and operators with successful exits.
As a Software Development Engineer in Test (SDET), you will ensure the reliability and performance of the company's core AI infrastructure by building sophisticated automation frameworks and stress-testing suites. You will validate the intersection of distributed systems, GPU kernels, and AI frameworks, creating a scalable foundation of trust in the codebase.
Key responsibilities include:
- Design, develop, and maintain a robust automated testing framework from the ground up supporting distributed AI training and inference workloads
- Develop complex test plans 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 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 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)
Desired skills include experience with Kubernetes, Terraform, or Ansible for managing test-bed environments; testing high-performance networking protocols or distributed file systems; and testing software that interacts with drivers or firmware.
The role is hybrid based in Palo Alto, with operations across remote and on-site locations in the U.S. and Canada. The company emphasizes trust, integrity, and respect in collaboration, holding team members accountable to quality and meaningful work.
