Apple is looking to engineer continuous improvements in stability and performance for private cloud compute, as well as implement new functionality in generative AI as part of the Private Cloud Compute component of Apple Intelligence
Requirements
- 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
- Familiar with Apple ML stack (ANE, CoreML, MPS/Metal)
- Familiar with high-level general distributed ML stack (PyTorch-distributed, NCCL)
- Familiar with high throughput inter-chip communication systems
- On-device iOS development
Responsibilities
- Help engineer continuous improvements in stability and performance for private cloud compute
- Help implement entirely new functionality as it emerges from the research community
- Integrate inference code into a full service stack to ensure that user traffic is served reliably and performantly
- Develop code that is easy and safe to develop, update and monitor
- Write performant and scalable frameworks to distribute and coordinate ML inference tasks to different hardware acceleration IP blocks on different SoCs
- Collaborate with product teams throughout Apple
- Work across multiple levels of abstraction
Other
- B.S. in Computer Science or other numerate subject, with 6+ years experience; or M.S. in Computer Science or other numerate subject, with 4+ years experience
- Quality focus - produce reliable, maintainable, deliverable software
- Comfortable diving deep - working across multiple levels of abstraction
- Good at handling relationships & communication - collaborate well with colleagues across a wide range of functions
- Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law
