Software Development Engineer, Compute Platform

What you'll do

• Develop and maintain data-driven features for a large-scale batch-focused compute platform.
• Build and validate models that turn job behavior into automated decisions for the infrastructure.
• Implement changes across the full stack, from high-level services to node-level resource configurations.
• Design and execute production rollouts using shadow modes, staged deployments, and explicit success metrics.
• Analyze cluster utilization and capacity data to create demand forecasts and quota decisions.
• Perform quantitative analysis to inform sizing, planning, and prioritization for the engineering team.
• Participate in an on-call rotation to resolve platform issues within a same-day timeframe.

What we're looking for

• Strong programming skills in Go, Python, C++, or similar and the ability to design, debug, and test complex software systems.
• Working knowledge of distributed systems and operating system fundamentals.
• Experience instrumenting large-scale infrastructure and quantitatively analyzing resource consumption like CPU, memory, I/O, and network.
• Ability to reason quantitatively about production data distributions and tails to manage risks for running workloads.
• Track record of owning projects from ambiguous problem statements through to production.
• Strong communication skills to translate quantitative results into actionable information for non-data specialists.
• BS in Computer Science or related field with 3+ years experience, MS with 1+ year, or a PhD.
• Experience with large-scale compute platforms, Kubernetes/Slurm, and automated decision models (preferred).