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# Software Development Engineer, Compute Platform

- **Company:** Apple Inc.
- **Location:** Seattle, WA, United States
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Apple Products, Computing Platforms, C++ (Programming Language), Code Review, Computer Programming, Computer Engineering, Software Debugging, Distributed Systems, Python (Programming Language), Operational Databases, Software Engineering, Kubernetes, Information Technology, Slurm, Golang
- **Published:** October 17, 2026
- **Apply:** https://www.juju.com/job/1_apple2-200678571

## About the Role

quality standard expected of Apple products **Minimum Qualifications** + Strong programming skills in a general-purpose language (Go, Python, C++, or similar), and demonstrated ability to design, debug, and test complex software systems + Working knowledge of distributed systems and operating system fundamentals + Experience instrumenting large-scale infrastructure and analyzing the data it produces - reasoning quantitatively about how CPU, memory, I/O or network consumption behaves and how it scales - and turning that analysis into a decision or a measurable improvement in production + Comfort reasoning quantitatively about production data - distributions and tails, not just averages - and about the risk a wrong estimate creates for a running workload + Track record of owning a project from an ambiguous problem statement through production + Strong communication and organizational skills, including the ability to work directly with customers and
to make quantitative results legible and actionable for people who are not data specialists + BS in Computer Science / related fields and 3+ years of experience or MS with 1+ years of experience or PhD **Preferred Qualifications** + Experience building or operating a large-scale compute platform with responsibility for its capacity, efficiency, or performance + Experience improving utilization on a production platform - right-sizing requests from historical usage, oversubscription, bin packing, co-locating batch alongside latency-sensitive work, or reclaiming unallocated capacity.
Comparable work on Kubernetes VPA, on runtime or demand prediction feeding an HPC scheduler, or on an in-house equivalent is equally relevant + Experience characterizing workloads at fleet scale, for example grouping jobs into behavioral classes or building the telemetry to do so + Experience shipping a model or heuristic that made automated decisions in production, and owning the outcome + Experience with forecasting, regression, or uncertainty estimation applied to operational time series + Experience modelling how a system's resource consumption scales - for example projecting the network, storage or I/O demand created by growing a compute footprint - and using that to inform capacity or sizing decisions + Experience with Kubernetes / Slurm or a comparable batch scheduling system Apple is an equal opportunity employer that is committed to inclusion and diversity.
We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.

## Description

When a prediction misbehaves, diagnose it, bound the impact, and help fix the system that trusted it * Write and review code, generate and review design documentation * Engage directly with customers and partner teams on their compute needs: understand their workloads, analyze cluster utilization and capacity, and turn that analysis into demand forecasts, node pool configuration and quota decisions that balance customer demand against fleet efficiency * Bring quantitative analysis to open questions across the team - sizing, planning and prioritization decisions where good data changes the answer * Participate in software qualifications and rollouts to production clusters * Participate in an on-call rotation where engineers respond to platform issues for same-day resolution * Work with a wide range of software and hardware engineering teams across Apple to support their workflows or integrate their technology into our platform * Hold yourself and others to a high