Senior Software Engineer, Compute Scheduling

Quick Facts

Role focus: compute scheduling, capacity, and performance across private and public cloud.

Description

Build and maintain software-defined, declarative infrastructure for compute at scale. You’ll develop and improve the compute scheduler and resource-management systems (placement, prioritization, preemption), create capacity data/forecasting tooling, and write performance/load tests to detect regressions in scheduling latency and throughput.

Responsibilities

• Write and maintain declarative infrastructure for compute at scale with build systems, services, and automation that are specified, documented, and testable.
• Build and improve components of the compute scheduler and resource-management systems, including placement, prioritization, and preemption.
• Build tools for capacity data collection, forecasting, and reporting across private and public cloud.
• Write performance and load tests; help detect regressions in scheduling latency and throughput.
• Research and adopt open-source and commercial tools and methods to improve compute efficiency and reliability.
• Collaborate with networking, orchestration, and SRE teams on integration and design.
• Participate in design reviews and on-call rotations; contribute to post-incident improvements.
• Use AI tools to speed up development and analysis; help identify where ML can improve capacity or placement decisions.

Requirements

• Experience leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving.
• 5+ years related software engineering, cloud, or infrastructure automation experience with a Bachelor’s; or 3+ years with a Master’s; or a PhD with relevant research/industry experience; or equivalent experience.
• Strong programming skills in Python, Go, or Java (and related languages).
• Experience building and maintaining Linux-based systems using infrastructure-as-code and configuration management tools (e.g., Terraform, Ansible).
• Comfort with virtualization and cloud infrastructure across Azure, AWS, and GCP.
• Working understanding of IP networking, block and file storage, and load balancers.
• Working understanding of DNS, NTP, and HTTP.
• Ability to work independently across interconnected systems and investigate root causes.
• Excellent oral and written communication; learning mindset; integrity and honesty.

Benefits

• Base pay guideline: $143,200 - $243,400 (plus equity when applicable and variable/incentive compensation)
• Health plans including flexible spending accounts
• 401(k) plan with company match
• ESPP
• Matching donations
• Flexible time away plan
• Family leave programs