AIML - Staff ML Infrastructure Engineer, ML Platform & Technology - Pre-training Infrastructure

As an engineer on the ML Compute team, your work will include:

* Drive performance optimization for large-scale foundation model training on TPUs, focusing on efficiency, throughput, and scalability
* Profile and optimize JAX/XLA workloads across compute, memory, communication, and compilation.
* Develop and optimize high-performance TPU kernels for critical ML operations such as attention and Mixture-of-Experts (MoE)
* Optimize distributed training techniques, sharding strategies, and collective communication over TPU interconnects (ICI/Fabric)
* Research and implement new techniques across the JAX, XLA, and TPU stack to improve end-to-end training performance
* Develop performance profiling, benchmarking, and automated tuning capabilities for large-scale training workloads.
* Collaborate with cross-functional engineers to solve large-scale ML training challenges
* Lead complex technical projects and mentor engineers in areas of your expertise
* Cultivate a team centered on collaboration, technical excellence, and innovation

6+ years of experience building or optimizing high-performance ML or distributed systems
Proficient in Python or other relevant programming languages
Strong understanding of distributed systems, parallel computing, and performance optimization
Experience profiling and optimizing compute-, memory-, or communication-intensive workloads
Ability to clearly communicate complex technical problems and collaborate with partners to develop solutions
Bachelor's degree in Computer Science, Engineering, or a related field

Advanced degree in Computer Science, Engineering, or a related field
Experience with accelerators such as TPU or GPU and understanding of accelerator architecture and performance characteristics
Experience with JAX, XLA, PyTorch or other ML compiler/runtime stacks
Experience developing or optimizing accelerator kernels using Pallas, Triton, CUDA, or similar technologies
Experience optimizing large-scale foundation model training and distributed communication

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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 $184,700 and $324,800, 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

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Apple accepts applications to this posting on an ongoing basis.