Senior Software Engineering Manager, Agentic Infrastructure

Apple Inc

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$237,600–$401,700 / yr
Posted
3 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $206k
This role $320k
$116k $432k
below market most similar roles pay here above market

This role pays more than 96% of similar roles. Most pay $177,250–$235,750 — the blue band above. At the midpoint, this role pays about $320k versus about $206k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 3497 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2702 roles with salary data.

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At a glance

TL;DR · Senior Software Engineering Manager, Agentic Infrastructure

The Senior Software Engineering Manager, Agentic Infrastructure leads an engineering organization within the Machine Learning and AI team to build the next generation of Private Cloud Compute inference and agentic services. This role involves designing core agentic architecture, integrating cloud services, and developing developer tooling to power Apple Intelligence. The manager is responsible for scaling prototypes into production-grade systems while managing performance, hiring, and technical roadmaps. Key responsibilities include overseeing distributed systems, cloud infrastructure, and ML infrastructure while ensuring secure-by-design and privacy-by-design principles. The position requires expertise in generative AI, foundation models, and agentic workflows. The work addresses the technical challenge of delivering seamless, secure, and high-performance AI experiences by balancing rapid iteration with long-term architectural stability across complex cloud-based software environments.

What does a Software Engineering Manager earn in California?

Median $281300 from 43 postings across 15 companies.

See salary data

What you'll do

  • Build, mentor, and manage an inclusive organization of high-performing engineers.
  • Define the strategic vision and technical roadmap for agentic workflows and developer experiences.
  • Drive the end-to-end execution of complex, multi-year projects while balancing rapid iteration with architectural stability.
  • Design and build core agentic architectures, cloud service integrations, and developer tooling.
  • Ensure system reliability, scalability, and performance by focusing on observability, throughput, latency, and cost efficiency.
  • Champion secure-by-design and privacy-by-design principles in all architecture and delivery.
  • Advocate for resources and technical direction by presenting team work to executive leadership.
  • Promote the adoption of generative AI tools and agentic workflows to improve developer productivity.

What we're looking for

  • 10+ years of engineering management experience delivering complex, large-scale engineering projects across multiple teams or organizations.
  • Bachelor's, Master's, or equivalent professional experience in Computer Science, Computer Engineering, or a related field.
  • Solid technical foundation in software engineering, distributed systems, and cloud infrastructure with the ability to engage in system design trade-offs.
  • Demonstrated experience building and scaling developer tools, ML infrastructure, or AI systems from concept to production.
  • Exceptional communication and interpersonal skills with high emotional intelligence and the ability to influence across all levels.
  • Demonstrated ability to operate effectively in ambiguity and handle rapidly shifting priorities.
  • Strong working proficiency and conceptual understanding of generative AI, foundation models, and agentic workflows (preferred).
  • Experience with Private Cloud Compute, on-device/cloud ML inference pipelines, or Apple silicon-adjacent infrastructure (preferred).

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