Member of Technical Staff - Mid-Training Infra

Reflection is a company on a mission to build open superintelligence and make it accessible to all. They are seeking a Member of Technical Staff to design, build, and operate large-scale GPU infrastructure for high-throughput model inference and mid-training workloads, while also optimizing performance and supporting research teams.

Responsibilities:

• Design, build, and operate large-scale GPU infrastructure for high-throughput model inference and mid-training workloads
• Develop systems that power synthetic data generation and reinforcement learning pipelines at scale
• Build high-performance inference platforms capable of serving and evaluating models across thousands of GPUs
• Optimize throughput, latency, and GPU utilization for large language model inference and rollout workloads
• Build infrastructure that supports reinforcement learning pipelines, including large-scale rollout generation, evaluation, and policy improvement loops
• Work closely with research teams to support distributed RL workloads and large-scale model evaluation infrastructure
• Improve performance of model execution through kernel-level optimization, model parallelism strategies, and GPU runtime improvements
• Develop distributed systems that enable large-scale synthetic data generation and RL-driven training workflows
• Diagnose and resolve performance bottlenecks across inference runtimes, GPU kernels, networking, and distributed compute systems