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Apple AIML - Sr Engineering Program Manager ML Compute Infrastructure United States, California, Cupertino 727497731
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- As a key EPM of the AI/ML team, you will be responsible for establishing cross-functional partnerships with ML partner understanding their use cases and improve the ease of use of the compute services.- You will lead technical evaluations of emerging accelerator technologies (GPUs, TPUs, and custom silicon), balancing power, performance, cost, and compatibility to ensure infrastructure decisions are forward-looking and cost-efficient- Own cross-functional execution of capacity integration efforts — aligning hardware procurement, rack deployment, networking, and software readiness to ensure seamless delivery at scale- Translate ML platform and model training requirements into concrete infrastructure programs, ensuring technical risks are anticipated and mitigated early
- 5+ years of meaningful work experience in Product/Program Management, Systems Engineering, or Infrastructure Architecture
- Demonstrated ability to define vision and lead cross-functional execution in highly technical domains
- MS/PhD in EE, CS, Systems Engineering, or equivalent work experience
- Experience leading vendor engagements and partnerships across cloud, silicon, and hardware infrastructure providers
- Strong understanding of large-scale compute architecture and capacity planning for ML workloads
- Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch), infrastructure orchestration, and high-performance computing environments
- Hands-on experience with accelerator benchmarking, evaluation frameworks, or infrastructure cost modeling
- Experience managing data center expansion programs or deploying high-density compute for ML
- Strong competence in price/performance parity analysis for hardware procurement decisions
- Advanced technical degree and/or deep infrastructure consulting background
- Prior experience scaling ML infrastructure in hybrid or on-prem environments
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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