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Full-time
Posted 35d ago
~40 hrs/week
Responsibilities
Engineer stability and performance improvements for private cloud compute and implement new ML functionality from the research community. Develop scalable frameworks in Swift and C++ to coordinate ML inference tasks across hardware acceleration blocks on SoCs.
Requirements
Requires professional experience as a software engineer on large production systems with proficiency in Swift, C, C++, and Xcode. Candidates must have practical experience running and evaluating machine learning models for quality and performance.
Full job description
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. Our team builds ML-inference applications and services on Apple Silicon in the datacenter, specifically focusing in recent years on generative AI as part of the Private Cloud Compute component of Apple Intelligence. Imagine what you could do here! Join us. Be you.
Description
As part of the team you will help engineer continuous improvements in stability and performance for private cloud compute, as well as help implement entirely new functionality as it emerges from the research community, in collaboration with product teams throughout Apple. We write performant and scalable frameworks (in Swift and C++) to distribute and coordinate ML inference tasks to different hardware acceleration IP blocks on different SoCs.
We’re a collection of highly skilled and friendly engineers who value each other’s opinions and experience. We strive for excellence and believe strongly in the quality of our output. We have formed a team of domain experts who specializes in specific core subject areas, and also have broad experience of cloud software services and platforms. You will integrate inference code into a full service stack to ensure that user traffic is served reliably and performantly, and will have a strong focus on developing code that is easy and safe to develop, update and monitor.
Minimum Qualifications
Experience working as a software engineer on large production systems.
Experience programming in: Swift, C, C++, iOS/macOS or Xcode.
Practical experience running machine learning models and evaluating them for quality and performance metrics.
Preferred Qualifications
Familiar with Apple ML stack (ANE, CoreML, MPS/Metal).
High-level general distributed ML stack (PyTorch-distributed, NCCL) and high throughput inter-chip communication systems.
On-device iOS development.
Related keywords
ML Software EngineerApple SiliconGenerative AIPrivate Cloud ComputeApple IntelligenceSwiftC++CiOSmacOSXcodeANECoreMLMPSMetalPyTorch-distributed
We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. And the same innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it. This is where your work can make a difference in people’s lives. Including your own.
Apple is an equal opportunity employer that is committed to inclusion and diversity. Visit apple.com/careers to learn more.
Offices: 1 Apple Park Way, Cupertino, California 95014, US
Based on 5561 listings with disclosed salaries, most engineering jobs in Washington pay between $100k–$239k per year. Individual offers vary with seniority, company size, and specialization.
How many Engineering jobs are open in Washington right now?
There are currently 7,978 open engineering positions in Washington listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Engineering roles in Washington?
Companies currently hiring include Amazon, Microsoft, Blue Origin, Boeing, SpaceX, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Engineering jobs in Washington?
Yes — 1992 of the 7978 open engineering positions offer remote or hybrid work (376 remote, 1616 hybrid).
How do I apply for Engineering jobs in Washington?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.