英伟达AI Infrastructure Software Engineer — CosmosLab

工作描述

任职要求
• 5+ years developing software infrastructure for large-scale AI or distributed systems.
• Bachelor's degree or higher in Computer Science or a related technical field (or equivalent experience).
• Strong debugging and triage skills across the stack — from AI application down to GPU/hardware behavior.
• Proven track record building and scaling large-scale distributed systems, ideally distributed training or inference.
• Hands-on experience with AI training and/or inference infrastructure — RL/post-training, training frameworks, or inference serving.
• Proficiency in Python (plus scripting), and solid software engineering practices: testing, defensive programming, version control, and CI.
• Excellent communication and collaboration skills; intellectual curiosity, problem-solving, and willingness.

Ways to stand out from the crowd:
• Experience building RL / post-training infrastructure — PPO/GRPO/DPO pipelines, rollout engines, and asynchronous RL.
• Background with building large-scale, production-grade pre-training / SFT infrastructure.
• Experience integrating simulation / robotics environments into…