Software Development Engineer, Compute Platform

Apple Inc.; Seattle, Northern (WA, KY); Hybrid; USD 142,000 - 263,000; Full time

Job summary

Apple Inc. in Seattle is seeking a Software Development Engineer for the Compute Platform to build data-driven features for a large-scale batch compute system. You will own end-to-end features from data analysis to production serving.

You will collaborate with cross-functional teams across Apple to improve efficiency, reliability and capacity planning, including on-call rotations and production validation.

Qualifications

• Strong programming skills in a general-purpose language and ability to design, debug, and test complex software systems.
• Working knowledge of distributed systems and OS fundamentals.
• Experience instrumenting large-scale infrastructure and analyzing data it produces to improve production systems.
• Ability to reason quantitatively about production data and risks.

Responsibilities

• Own features end to end from data analysis through the model or heuristic, APIs, production serving and measurement.
• Implement changes across the stack, from platform services to node-level configuration.
• Design and run validation in production: shadow mode, staged rollouts, success metrics and rollback plans.
• Hold yourself and others to a high quality standard for Apple products.
• Engage with customers and partner teams to understand workloads and forecast needs.
• Provide quantitative analysis for sizing, planning and prioritization decisions.

Skills

Go

Python

C++

Distributed systems

Education

BS in Computer Science / related fields

MS in related field

Tools

Kubernetes

Slurm

Job description

Software Development Engineer, Compute Platform

Seattle, Washington, United States Software and Services

People at Apple don't just build products — they craft the kind of experience that has revolutionized entire industries. The diverse collection of our people and their ideas inspire innovation in everything we do. Imagine what you could do here! Join Apple, and help us leave the world better than we found it.The Apple Services Engineering (ASE) team builds and provides systems and infrastructure that power Apple's services (such as iCloud, iTunes, Siri, and Maps). We are the foundation on which Apple's software developers build the products that our customers love. Our services have to scale globally, stay highly available, and "just work." If you love designing, engineering and running systems and infrastructure that will help millions of customers, then this is the place for you!Apple Services Engineering (ASE)'s Compute team is seeking a software engineer comfortable across data and systems to help our batch-focused compute platform make better decisions. The platform runs millions of jobs a day across tens of thousands of hosts and retains a detailed record of how each one behaved. You will turn that record into predictions, optimizations and services the platform can act on, improving both the efficiency of the fleet and the reliability of the workloads that run on it.The work is end to end: you will explore the data, build and validate the model, take it to production, and demonstrate the gains on live clusters. The platform is technically deep, and a prediction only pays off if you understand the systems that will act on it.

Description

In this role, you will develop, debug, and maintain data-driven features of a large-scale batch focussed compute platform.

• Own features end to end that turn job behavior into decisions the platform acts on — from the initial data analysis through the model or heuristic, the APIs, production serving, and the measurement that proves it worked
• Implement your own changes across the stack, from platform services and control plane paths down to node-level resource limits and configuration
• Design and run validation in production: shadow mode, staged rollouts, explicit success metrics, and a rollback plan
• Have full ownership for the decisions your models make. 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 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

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $142,300 and $263,300, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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. Learn more about your EEO rights as an applicant

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

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Apple accepts applications to this posting on an ongoing basis.