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Lead Software Developer

2 months ago

Cupertino, California, United States Apple Full time

Overview:
Weekly Hours: 40

Role Summary:

The Apple Maps Data Infrastructure team is seeking outstanding engineers to enhance capabilities across various technologies within a hybrid-cloud framework.

As a pivotal contributor, you will play a crucial role in shaping the technological landscape, with a focus on machine learning infrastructure, batch processing, real-time processing, and data Lakehouse technologies.

This position presents an excellent opportunity to drive innovation across multiple business units 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 improve infrastructure efficiency.

We encounter challenges daily in managing data at a significant scale. Therefore, we are in search of talented engineers who thrive on solving complex problems through independent research and collaboration with teams across Apple.

As a senior member of our team, you will tackle intricate challenges and address a diverse range of use cases.

Your responsibilities will include delivering innovative solutions, providing valuable insights on emerging technologies, and making impactful contributions at the platform level. This role offers the chance to engage in groundbreaking projects that require creativity, strategic thinking, and a commitment to excellence.

If you are ready to face diverse challenges, contribute to innovative solutions, and be a driving force behind technological advancements, we welcome your interest in this exciting opportunity.

Role Responsibilities:
We are looking for a highly inquisitive and driven candidate who is enthusiastic about the prospect of rapidly establishing themselves as a subject matter expert in the fields of data and machine learning infrastructure across the organization.

You will collaborate with a wide array of internal teams, actively listening to understand their challenges and fundamental needs.

Utilizing your problem-solving skills, you will derive insights that enable you to scope, design, and implement high-quality innovative solutions.

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

The ideal candidate will possess strong foundational knowledge in relevant domains, facilitating 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 accelerating your learning excites you and you aspire to become a leading authority in multiple technology domains, 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:
Prior experience in public cloud systems, particularly in AWS or GCP environments, is a significant advantage.

Knowledge of Kubernetes is a notable 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 allows for progression as you grow and develop within a role.

The base pay range for this role is between $175,800 and $312,200, with your base pay depending 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.

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 related to advancing your career at Apple, including tuition.

Additionally, this role may 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.