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Senior Software Engineer - Machine Learning Infrastructure

Cupertino, CA, United States

Senior Software Engineer - Machine Learning Infrastructure The right infrastructure, tooling and process can be very impactful on developer happiness and efficiency, especially when reducing cognitive load. This role will expose you to difficult problems in polyglot environments together with very knowledgeable and skilled people. We work closely together with other development teams to align solutions that improve tooling and overall processes to significantly reduce cycle times. Our developer platform is taking the next big step, and you have the chance to be a part that evolution and drive the features that enable a slick and streamlined developer experience. On this team, we develop both frontend and backend software, as well as the lower level tooling that they rely on.

Description

We are looking for a software development engineer, who loves rolling up theirs sleeves in code, while designing, analyzing and solving large software systems. Preferably, with infrastructure related experience. In this role, you will be part of a team that:Provides the developer experience in MapsDevelops the services, UI and backend, that handle workflow orchestration, job execution runtime and standardized tooling for Kubernetes deploymentsSeamlessly integrates existing infrastructure services into a platform experienceImplements a first class onboarding experienceProvides guidance to development teams, senior management and QA

Minimum Qualifications

Strong software development skills, preferably with experience in Ruby on Rails, Go, ReactJS, Python, and Bash

Experience in both backend and frontend development, including REST and GraphQL frameworks

Familiar with core Kubernetes concepts and principles

Independently learns new technologies, quickly ramps-up, investigates issues, and actively seeks solutions

Able to collaborate and communicate with people from various technical backgrounds as well as provide high-quality support and consultation to other teams at Apple

Preferred Qualifications Former experience in public cloud systems, particularly in AWS or GCP environments, is a great plus.

Knowledge of Kubernetes is a significant plus.

Proactive engagement with open-source community, aligning business objectives with the principles of collaborative development and innovation.

(Nice to have) Experience with GPU / training / LLM / Inferencing

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 $170,700 and $300,200, 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 take affirmative action to ensure 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.

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