Software Development Engineer in Test - AI

Role Overview

Software Development Engineer in Test (SDET) responsible for ensuring the reliability and performance of core AI infrastructure. You will build sophisticated automation frameworks and stress-testing suites to validate distributed systems, GPU kernels, and AI frameworks at scale.

Key Responsibilities

• Design, develop, and maintain robust automated testing frameworks 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 with System Engineers to debug issues in distributed clusters using telemetry and profiling tools to identify bottlenecks

Required Skills

• Strong proficiency in Python for automation and orchestration
• Proven experience building or extending test automation frameworks for complex back-end systems
• Troubleshooting expertise in automated test failures within large-scale distributed systems with ability to identify root causes
• Experience with containerization (Docker/Kubernetes) and modern CI/CD tools (GitHub Actions, GitLab CI, or Jenkins)

Desired Skills

• Experience with Kubernetes, Terraform, or Ansible for managing test-bed environments
• Experience testing high-performance networking protocols or distributed file systems
• Experience testing software that interacts with drivers or firmware

Education

• Bachelor's or Master's degree in Computer Engineering, Computer Science, or related field