Senior Software Engineering Manager, Agentic Infrastructure

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$225,600–$381,600 / yr
Posted
58 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $205k
This role $304k
$124k most similar roles pay here $409k

This role pays more than 94% of similar roles. Most pay $164,000–$246,150 — the shaded band above. At the midpoint, this role pays about $304k versus about $205k for comparable roles.

Based on 239 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 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

Most-posted roles

View all roles at Apple Inc

At a glance

TL;DR · Senior Software Engineering Manager, Agentic Infrastructure

As the Senior Software Engineering Manager, Agentic Infrastructure, you will lead and grow a high-performing engineering organization focused on building agentic systems and associated developer experiences. You will be responsible for defining the technical roadmap, managing team growth, and overseeing the transition of prototypes into production-grade cloud systems. Your daily work involves designing core agentic architecture, integrating cloud services, and developing tools to support AI-assisted workflows. The role requires expertise in distributed systems, cloud infrastructure, and machine learning infrastructure to solve complex problems involving inference pipelines and server software. You will navigate technical trade-offs regarding system reliability, scalability, and performance while ensuring secure-by-design principles for user content. Key competencies include managing multi-year projects, fostering engineering excellence, and collaborating with cross-functional teams across hardware, security, and systems software to deliver seamless AI experiences.

What does a Software Engineering Manager earn?

Median $223750 from 106 postings across 38 companies.

See salary data

What you'll do

  • Manage and mentor a high-performing engineering organization including hiring, onboarding, and performance management.
  • Define the strategic vision and technical roadmap for agentic workflows and developer experiences.
  • Lead the design and development of core agentic architecture and integrated cloud services.
  • Scale successful prototypes into production-grade systems with a focus on reliability, scalability, and cost efficiency.
  • Partner with cross-functional teams to deliver secure, high-performance AI features across the Apple ecosystem.
  • Champion "secure-by-design" and "privacy-by-design" principles for all cloud-based AI infrastructure.
  • Drive the adoption of generative AI tools and agentic workflows to improve internal developer productivity.
  • Resolve cross-functional bottlenecks and present technical progress to executive leadership to advocate for resources.

What we're looking for

  • Bachelor's, Master's, or equivalent professional experience in Computer Science, Computer Engineering, or a related field.
  • 10+ years of engineering management experience delivering complex, large-scale projects across multiple teams or organizations.
  • Solid technical foundation in software engineering, distributed systems, and cloud infrastructure.
  • Experience building and scaling developer tools, ML infrastructure, or AI systems from concept to production.
  • Proficiency in generative AI, foundation models, and agentic workflows with experience bringing AI systems to production at scale.
  • Ability to lead organizations through periods of significant growth or technical transformation.
  • Familiarity with secure-by-design and privacy-by-design principles for cloud-based AI services.
  • Experience with Private Cloud Compute, on-device/cloud ML inference pipelines, or Apple silicon-adjacent infrastructure.

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