Runtime Jobs

Cerebras Systems is seeking a hands-on SDET Technical Lead to establish and lead Release Integration Testing for AI Inference Core. This role is crucial for transforming integrated features into reliable production releases by defining the quality strategy across the entire release cycle, from feature integration to post-release learning. You will work across AI frameworks, runtime, compiler, kernels, distributed systems, infrastructure, and hardware to identify and address release risks. This is a technical leadership position where you will design test architecture, lead debugging and release decisions, mentor engineers, and contribute to software and automation development.

Supabase is seeking an AI Platform Engineer to develop the execution layer for its internal AI systems. The company is building an AI-native internal operating system where AI handles significant operational tasks. This role involves creating the platform that runs agents, including an event-triggered queue, a model-agnostic runtime, durable state management, human review gates, atomic rollback, and comprehensive logging. You will also build the evaluation layer to ensure trustworthiness and develop agents for various functions, from executive reporting to platform monitoring and improvement. The role emphasizes a governance-heavy environment, with agents risk-tiered and subject to review depth, evaluation requirements, and human approval. The engineer will be solely responsible for closing architectural decisions, owning the infrastructure end-to-end, and instrumenting the system for performance reporting.