Manager, Software Engineering

This is a fully remote position, open to applicants in California, +4 more states.

📋 Description

• Lead, recruit, and develop a team of software and systems engineers, encompassing senior and staff-level engineers as well as tech leads.

• Take full ownership of a key AI infrastructure platform area, overseeing its roadmap, architecture, reliability, and on-call health.

• Collaborate with model training teams to translate research requirements into platform capabilities.

• Define ownership and decision-making authority through designated owners, documented decisions, and clear interfaces.

• Enhance engineering quality at scale through automation, observability, and safe multi-cluster rollouts.

• Collaborate with teams in infrastructure, storage, networking, Kubernetes, cloud providers, external vendors, and open-source communities.

• Assess reliability and latency from a researcher perspective to prioritize tasks effectively.

• Contribute to the collective Kubernetes-based platform codebase and its open-source development.

⛳️ Requirements

• Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related discipline, or equivalent professional experience.

• Over 12 years of experience in software engineering.

• More than 5 years of experience managing engineering teams, including leading tech leads or managers.

• Proven track record of building and maintaining large-scale distributed systems in production environments.

• In-depth hands-on experience in workload scheduling, resource management, distributed storage, data systems, or Kubernetes-based platforms.

• Experience in hiring and developing senior engineers and fostering high-performing teams.

• Responsibility for the reliability of critical services, including on-call duties, incident response, postmortems, and follow-up resolutions.

• Strong written communication skills and the ability to facilitate cross-team technical decision-making.

• Experience with GPU clusters for large-scale AI training, reinforcement learning, post-training workloads, open-source infrastructure, cross-time-zone teams, or AI coding and operations tools is highly advantageous.

🏝️ Benefits

• Equity

• Benefits