Senior Software Engineer (Seed Model - Infrastructures - SRE)

Highlights

• Own reliability of large-scale GPU clusters powering Seed foundation models.
• Drive performance of large generative AI training and inference systems.
• Build unified compute pool co-locating training and inference workloads.

Ideal candidate

A reliability-driven infrastructure engineer energized by large-scale AI systems, who cares deeply about stability, efficiency and solving complex production challenges end to end.

Requirements

• Bachelor's degree or above in Computer Science, Software Engineering or related field with 3+ years in large-scale ML / generative AI MLOps or related infrastructure work
• Proficient in Python and/or Go with solid Linux operations and shell scripting for automation tooling
• Expert in containerization (Docker/Kata) and Kubernetes operating large heterogeneous compute clusters
• Familiar with large-scale high-speed networking (RDMA) and high-performance distributed/object storage operation and optimization
• Expert in resource scheduling system design, policy iteration, utilization and explainability
• Experience ensuring stability and optimizing performance of large-scale generative AI training or inference systems