Inference ML API SDET
Core
Lead testing strategy and execution for AI/ML models, evaluating accuracy, fairness, and performance at scale for Cerebras Inference Cloud.
Role type
Senior Software Engineer in Test (Quality Engineering)
Builds
Cerebras API Features, distributed cloud systems, multi-region deployments, and hardware-backed inference services
Domain
AI/ML inference, large-scale enterprise compute, distributed systems
Deliverable
production ML models | infrastructure
Required skills
automation and programming (Python, C++, or Go), test framework design, debugging complex distributed issues, cross-functional quality leadership, mentoring engineers, risk-based testing strategy
Preferred skills
ML workloads (LLM/multimodal training/inference), hardware architecture and compilers, microservices orchestration at scale, security validation
Technologies
Python, C++, Go, distributed cloud systems, microservices, compilers
Responsibilities
Architect end-to-end test strategies and scalable frameworks, lead industry-standard benchmark contributions, drive automation initiatives, make strategic coverage trade-off decisions, mentor junior SDETs, identify systemic quality gaps
Seniority
Senior, hands-on IC with mentorship
