Inference ML API SDET
Posted Updated 6
views
Summary
Senior SDET role at Cerebras Systems owning end-to-end testing strategy for AI/ML inference API features: building scalable test frameworks and automation, validating production deployments, evaluating model quality and performance, and mentoring junior SDETs. Core stack includes Python, C++, or Go and distributed systems.
You will lead end-to-end testing strategy for AI and ML API features. You will build scalable test frameworks and automation, validate production deployments, evaluate model quality and performance, investigate quality gaps, and mentor junior SDETs.
Responsibilities
- Architect and own end-to-end test strategies for new features
- Develop scalable tests, frameworks, and tooling
- Contribute to industry-standard benchmarks and evaluation methodologies
- Drive automation initiatives to improve engineering efficiency and test coverage
- Make coverage, resource, and risk-based testing decisions
- Mentor junior SDETs on testing, debugging, and automation
- Identify systemic quality gaps and lead cross-functional remediation
- Facilitate technical communication across teams and time zones
Requirements
- 5+ years of relevant experience in software integration, development, or quality engineering
- Expertise in automation and programming with Python, C++, or Go
- Experience testing compute, machine learning, networking, or storage systems in enterprise environments
- Experience debugging distributed deployments
- Experience leading cross-functional quality initiatives
- Verbal and written technical communication skills
- Experience mentoring geographically dispersed engineers
