Ways to stand out from the crowd: Master's or PhD's degree in Computer Science, Robotics, Engineering, or a related field; Demonstrated Tech Lead experience, coordinating a team of engineers and driving projects from conception to deployment; Strong experience at building large-scale LLM and multimodal LLM training infrastructure; Contributions to popular open-source AI frameworks or research publications in top-tier AI conferences, such as NeurIPS, ICRA, ICLR, CoRL. What we need to see: Bachelor's degree in Computer Science, Robotics, Engineering, or a related field; 10+ years of full-time industry experience in large-scale MLOps and AI infrastructure; Proven experience designing and optimizing distributed training systems with frameworks like PyTorch, JAX, or TensorFlow.