Member of Technical Staff (Software Engineer, Training Infrastructure)

Job Description

Build and operate distributed systems that orchestrate AI workloads across large-scale compute infrastructure, supporting reinforcement learning and agent evaluation. Develop interfaces and tools for designing and managing experiments, interpreting results, and accelerating model development and research.

Requirements: Requires at least two years of experience developing and shipping distributed systems for compute-intensive workloads, with a focus on reliability, scalability, and performance. Candidates should be proficient in a backend language such as Python, Rust, C++, or Go; have experience with cloud infrastructure and container orchestration; and bring familiarity with reinforcement learning, agent evaluation, or machine learning infrastructure, plus a relevant degree or equivalent practical experience.

Key Skills: Distributed Systems, Python, Rust, C++, Go, AWS, Kubernetes, Reinforcement Learning, Agent Evaluation, Machine Learning Infrastructure, Cloud Infrastructure, Container Orchestration, Reliability, Scalability, Performance, AI Workload Orchestration