Director, Compute Engineering

📋 Description

• Lead the compute engineering organization, providing technical leadership, mentoring, and career
• Own the roadmap for the compute scheduler, including placement, bin-packing, prioritization
• Define and drive the compute-at-scale model, including unit economics such as cost per workload
• Lead capacity management for private and public cloud: demand forecasting, reservations
• Establish and scale a performance engineering practice: benchmarking, load and scale testing
• Apply AI and ML to demand forecasting, anomaly detection, and placement optimization. Set the AI/ML

🎯 Requirements

• Experience in leveraging or critical thinking about how to integrate AI into work processes
• 15+ years of software engineering experience with a Bachelor's degree; or 12 years with a Master's
• 5+ years of people management experience, ideally leading software or systems engineering teams in
• Experience building or operating large-scale schedulers or resource managers, such as Kubernetes
• Deep expertise in distributed systems, system design, and capacity planning at scale.
• Hands-on experience applying ML in production, including models, feature pipelines, or ML

🎁 Benefits

• Base pay of $221,200 - $387,100 plus equity (when applicable), variable/incentive compensation and
• Health plans, flexible spending accounts, 401(k) Plan with company match, ESPP, matching donations