Staff ML Compute & TPU Infrastructure Engineer

Apple Inc.; San Francisco (CA); On-site; USD 210,000 - 300,000; Full time

Job summary

Apple is seeking an AIML Staff ML Infrastructure Engineer to advance pre-training infrastructure in the SF Bay Area. You will work on TPUs, JAX/XLA, and distributed training to push performance and scalability across large foundation models.

You will lead kernel development for attention/MoE, optimize workloads, and mentor engineers while collaborating with cross-functional teams to achieve engineering excellence.

Qualifications

• 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.
• Ability to clearly communicate complex technical problems and collaborate with partners to develop solutions.

Responsibilities

• 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 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

Skills

Python programming

Distributed systems

Performance optimization

Education

Bachelor's degree in Computer Science, Engineering, or related field

Advanced degree in Computer Science, Engineering, or related field

Tools

JAX

XLA

PyTorch

Job description

Apple is seeking an AIML Staff ML Infrastructure Engineer to advance pre-training infrastructure in the SF Bay Area. You will work on TPUs, JAX/XLA, and distributed training to push performance and scalability across large foundation models.

You will lead kernel development for attention/MoE, optimize workloads, and mentor engineers while collaborating with cross-functional teams to achieve engineering excellence.