Lead Software Developer

1 week ago

Cupertino, California, United States Apple Full time

Position Overview:
Weekly Hours: 40

Role Identifier:

The Apple Maps Data Infrastructure team is in search of outstanding engineers to enhance capabilities across a diverse range of technologies within a hybrid-cloud setting.

As a pivotal contributor, you will play a significant role in shaping the technological framework, concentrating on machine learning infrastructure, batch processing, real-time processing, and data Lakehouse technologies.

This position presents a remarkable opportunity to empower various business units through technological advancements at Apple.

The Maps Data Infrastructure team is dedicated to bolstering the Apple Maps business by developing technological capabilities that not only facilitate business operations but also enhance infrastructure efficiency.

We encounter challenges daily in managing data at an enormous scale.

Therefore, we seek proficient engineers who enjoy tackling complex problems through independent research and collaboration with teams across Apple.

As a senior member of our team, you will be at the forefront of addressing intricate challenges and a wide array of use cases.

Your responsibilities include delivering innovative solutions, providing insightful perspectives on emerging technologies, and making impactful contributions at the platform level. This is an opportunity to engage in innovative projects that require creativity, strategic thinking, and a commitment to excellence.

If you are prepared to embrace diverse challenges, contribute to groundbreaking solutions, and be a driving force behind technological progress, we welcome your interest in this exciting opportunity.

Role Responsibilities: We are seeking an exceptionally inquisitive and driven candidate who is enthusiastic about the chance to rapidly establish themselves as a subject matter expert in the data and ML infrastructure domain across the organization.

You will collaborate with a broad spectrum of internal teams, actively listening to understand their challenges and underlying needs.

Utilizing your problem-solving skills, you will extract insights that enable you to define, design, and deliver innovative high-quality solutions.


This role offers significant potential for capability-building across multiple domains and technologies, allowing you to learn extensively from our expert teams of developers, data engineers, and data scientists.

The ideal candidate should possess strong fundamentals in relevant domains that will facilitate self-directed learning driven by intellectual curiosity.

We foster a collaborative environment that empowers you to rapidly expand your expertise. You will engage broadly across the organization, employing excellent communication skills to translate needs into effective solutions.

If the prospect of accelerating your learning excites you and you aspire to become a leading authority in multiple technology spheres, this is the opportunity for you.

Minimum Qualifications: 10 years of hands-on experience in large-scale data processing and/or machine learning infrastructure, demonstrating a robust understanding of the complexities associated with such environments.

Familiarity with a diverse array of technologies, including but not limited to Spark, Flink, Kafka, Iceberg, and Ray, within the data and machine learning ecosystem.

Strong programming skills, particularly in Java or other JVM languages, showcasing the ability to develop robust, scalable, and maintainable codebases for complex data and machine learning infrastructure.

A strong sense of ownership and an unwavering commitment to excellence in all aspects of work.
A customer-focused approach, combined with excellent listening skills and a deep understanding of user requirements. Be adept at translating user needs into actionable solutions and acting as a subject matter expert in customer discussions.

Exhibit proficiency in scoping and prioritizing tasks with a focus on incremental delivery and an iterative approach, ensuring adaptability to evolving project requirements.

Preferred Qualifications: Previous experience in public cloud systems, particularly in AWS or GCP environments, is a significant advantage.
Knowledge of Kubernetes is a considerable plus.

Proactive engagement with the open-source community, aligning business objectives with the principles of collaborative development and innovation. (Nice to have) Experience with GPU / training / LLM / Inferencing.

Compensation & Benefits: At Apple, base pay is one component 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 $175,800 and $312,200, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become shareholders 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.


Additional Benefits:

Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and reimbursement for certain educational expenses — including tuition — related to advancing your career at Apple.

Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation assistance. 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 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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