AIML - SW Dev Engineer - Systems, Machine Learning Platform & Infrastructure

Key Skills

Aartificial intelligence, Infrastructure as code, Kubernetes-K8s, Linux Operating system, Machine learning techniques, Rust, Software Development

Job Description

We are looking for software engineers to join our small team with big responsibilities. The role involves a tremendous amount of individual responsibility and influence over the direction of the core service.

We believe in small agile teams and their ability to deliver high-quality, high-impact software. We share code ownership and knowledge through the Agile technique of pair-programming. Our codebase is written entirely in modern Rust using the latest technologies and coding practices.

We rely on sustainable coding through focus on readable, maintainable, and performant code. As such, we lean heavily on Rust and its great tooling to fearlessly develop highly efficient distributed systems code. We use multiple levels of testing to ensure we have low-level performance (such as tests to validate the number of allocations and bytes used) as well as correctness (such as tests with fault injection, and race condition simulation). Combined with the powerful borrow checker and strong type system of Rust, we can develop complex systems with confidence.

Key Qualifications

• Experience designing, implementing, and supporting highly scalable applications and web services
• Experience working with Rust (e.g., asynchronous (async/await), sharing models (Sync/Send), etc.)
• Experience with concurrent programming (e.g., locking, memory synchronization, atomic operations, etc.)
• Experience with distributed system concepts (e.g., distributed consensus, replication, failure detection, etc.)

We are building a new distributed multi-tiered data orchestration service to support critical Artificial Intelligence/Machine Learning systems and services with direct business and customer value.

We are looking for an experienced developer to join our collaborative and friendly team. Someone with a desire to learn. With a passion for clean, maintainable code. Someone that enjoys the duality of working on high level concepts as well as optimizing low-level performance.

All members of the team are responsible for the complete life-cycle of features. This includes identifying areas of improvement, proposing changes, driving implementation, and supporting it in production.

Education & Experience

Bachelor's or Master's degree in Computer Science (or related field) or equivalent software development experience

Additional Requirements

Not Vital, but a plus to have:

• Experience with blob storage solutions
• Experience with distributed key-value databases
• Experience with Kubernetes and containers
• Experience with Linux system internals
• Experience with storage systems and internals
• Experience with back-end web technologies

Pay & Benefits

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 $170,700.00 and $300,200.00, 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.