below marketmost similar roles pay hereabove market
This role pays more than
93%
of similar roles. Most pay
$173,950–$235,750
— the blue band above.
At the midpoint, this role pays about
$304k
versus about
$205k
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
3544 open roles
on FindRole.
Listed pay typically runs
$166,600–$277,600
across 2734 roles with salary data.
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 leader manages a high-performing team responsible for designing core agentic architecture, integrating cloud services, and developing developer tooling. Key responsibilities include defining the technical roadmap for agentic workflows, scaling prototypes into production systems, and ensuring system reliability, throughput, and latency. The role requires expertise in distributed systems, cloud infrastructure, and ML infrastructure. Candidates must demonstrate proficiency in generative AI, foundation models, and agentic workflows while applying secure-by-design and privacy-by-design principles. This position solves the technical challenge of delivering production-grade, secure AI experiences and software experiences powered by Apple silicon.
What does a Software Engineering Manager earn?
Median $214394 from 127 postings across 41 companies.
Build, mentor, and manage a high-performing engineering organization focused on agentic systems.
Define the strategic vision and technical roadmap for agentic workflows and developer experiences.
Drive end-to-end execution of complex, multi-year projects while balancing rapid iteration with architectural stability.
Design and scale production-grade cloud systems focusing on reliability, throughput, latency, and cost efficiency.
Champion secure-by-design and privacy-by-design principles for all cloud-based AI services and user content.
Advocate for the adoption of generative AI tools and agentic workflows to improve developer productivity.
Proactively resolve cross-functional bottlenecks and present technical progress to executive leadership.
What we're looking for
10+ years of engineering management experience delivering complex, large-scale 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).
Generative AI
Agentic Workflows
ML Infrastructure
Distributed Systems
Cloud Infrastructure
ML Inference
System Design
Observability
Private Cloud Compute
Apple Silicon
Secure-by-Design
Privacy-by-Design
Generative AI
Agentic Workflows
ML Infrastructure
Distributed Systems
Cloud Infrastructure
ML Inference
System Design
Observability
Private Cloud Compute
Apple Silicon
Secure-by-Design
Privacy-by-Design
Scalable Cloud Architecture