Member of Technical Staff - Mid-Training Infra

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.
• Diagnose and resolve performance bottlenecks across inference runtimes, GPU kernels, networking, and distributed compute systems.

Benefits

• Equity
• Gym Membership
• Health Insurance
• Parental Leave

Culture