Distinguished Engineer, AI Infrastructure

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Seattle, WA
Salary: $295,600–$472,200 / yr
Posted: 20 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $223k

This role $384k

$131k $509k

below market most similar roles pay here above market

This role pays more than 95% of similar roles. Most pay $174,600–$271,356 — the blue band above. At the midpoint, this role pays about $384k versus about $223k 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.

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At a glance

TL;DR · Distinguished Engineer, AI Infrastructure

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The Distinguished Engineer, AI Infrastructure joins the Machine Learning Platform Technologies - ML Compute organization to provide technical leadership in building next-generation AI infrastructure. This role involves shaping the architecture and long-term technical strategy for large-scale training and inference systems across a multi-cloud heterogeneous compute fleet. Key responsibilities include designing distributed systems for job scheduling, cluster management, and cost governance while optimizing end-to-end performance for frontier and production models. The position requires proficiency in backend languages like Python, C++, Go, or Rust, along with expertise in cloud-native architectures, Kubernetes, and ML accelerators such as GPUs and TPUs. Candidates must also possess deep knowledge of deep learning frameworks like PyTorch and JAX to solve complex problems at the intersection of AI research, systems, and cloud infrastructure.

What does a Engineer earn in Washington?

Median $179250 from 43 postings across 13 companies.

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Skills

Distributed Systems Python C++ Go Rust Kubernetes PyTorch JAX Performance Profiling Cluster Management Job Scheduling

What you'll do

Define the technical vision and roadmap for frontier AI infrastructure across a multi-cloud heterogeneous compute fleet.
Design and build distributed systems for job scheduling, cluster management, and cost governance.
Optimize end-to-end performance of AI training and inference workloads in partnership with ML researchers.
Shape the architecture for large-scale training and inference systems across diverse accelerator platforms.
Manage the deployment and scaling of frontier and production models across cloud infrastructure.
Mentor senior engineers and establish long-term architectural vision across multiple organizations.

What we're looking for

Bachelor’s degree in Computer Science, a relevant technical field, or equivalent practical experience.
15 years of experience designing and building very large-scale distributed systems.
Proficiency in at least one backend language such as Python, C++, Go, or Rust.
Proficiency in cloud-native architectures and compute orchestration platforms like Kubernetes.
Hands-on experience working with ML accelerators such as GPUs and TPUs.
Track record of mentoring senior engineers and setting long-term architectural vision across organizations.
Master’s degree or PhD in Computer Science or related technical fields (preferred).
Experience in running distributed training and/or inference workloads in production (preferred).

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