Software Engineer (Seed Model - Infrastructures - SRE)

Highlights

• You will own reliability of large-scale GPU clusters for model training.
• Operate training and inference platforms that determine speed and reliability.
• Manage disaster recovery and lifecycle across multiple regions and data centers.

What they offer

• additional discretionary bonuses/incentives
• restricted stock units

Ideal candidate

An ownership-driven SRE who thrives on keeping large-scale AI systems reliable. You love automating operations, improving efficiency, and digging into complex distributed problems collaboratively.

Requirements

• 1+ years of experience in DevOps, SRE or infrastructure engineering projects
• Proficient in at least one or two of Go / Python / Shell in a Linux environment
• Experience operating resource management and job scheduling systems for distributed systems
• Familiar with the Kubernetes ecosystem and architecture
• Familiar with containerization technologies such as Docker / Kata
• Strong ownership, learning agility, communication and analytical problem-solving skills