Member of Technical Staff – Mid-Training Infra

About The Role

• 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.

Ideal Experience

• Experience deploying and operating large-scale GPU systems for inference or model serving.
• Several years of hands-on experience building and running production infrastructure.
• Strong understanding of GPU performance characteristics and optimization techniques.
• Experience working with modern inference frameworks such as SGLang, Megatron, or similar high-performance LLM runtimes.
• Familiarity with distributed reinforcement learning infrastructure or rollout generation systems.
• Experience optimizing throughput for large-scale model execution workloads.
• Experience working with GPU kernels or low-level performance optimization.
• Familiarity with infrastructure used for synthetic data pipelines or RL training workflows.
• Experience debugging performance issues across GPU, networking, and distributed execution layers.

What We Offer

• Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.
• Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.
• Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.
• Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time.
• Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.

#J-18808-Ljbffr…