Wireless Analytics & Intelligence Software Engineer

Apple Inc

Confirmed live today High trust

Quick summary

Work type
On-site
Location
San Francisco, CA
Salary
$129,300–$194,700 / yr
Posted
4 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $191k
This role $162k
$118k most similar roles pay here $237k

This role pays less than 74% of similar roles. Most pay $161,262–$221,250 — the shaded band above. At the midpoint, this role pays about $162k versus about $191k 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 1957 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1579 roles with salary data.

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At a glance

TL;DR · Wireless Analytics & Intelligence Software Engineer

Wireless Analytics & Intelligence Software Engineer As part of the Wireless Technologies and Ecosystems organization, you will join a team focused on developing advanced telemetry and diagnostics frameworks to drive analytics for wireless products. You will build on-device analytics modules that aggregate information across WiFi, Bluetooth, and Cellular stacks, while designing telemetry probes to monitor performance and identify hardware or software anomalies. Your work involves deploying machine learning models using Core AI, building scalable evaluation pipelines, and implementing crowd-sourced learning frameworks. The role requires expertise in cellular systems, specifically the L1/PHY layer of 4G/5G modems. You will utilize C++, Objective-C, Swift, and GenerativeAI to create agentic workflows for model training and deployment. This position solves critical problems regarding modem performance, usage characterization, and product experimentation to enhance the wireless experience across various hardware products including wearables.

What you'll do

  • Deploy and maintain machine learning models on-device for wireless connectivity and voice call features.
  • Build scalable model evaluation pipelines to validate performance of deployed models.
  • Develop on-device analytics modules that aggregate information across WiFi, Bluetooth, and Cellular stacks.
  • Design wireless telemetry probes to monitor performance, optimize modems, and identify hardware/software anomalies.
  • Create scalable solutions for data mining and the development of anomaly and trend detection algorithms.
  • Build on-device and crowdsourced learning frameworks to improve overall wireless product experience.
  • Utilize product experimentation and A/B testing frameworks to validate machine learning model deployments.

What we're looking for

  • B.S. or M.S. in Computer/Electrical Engineering, Computer Science, or equivalent.
  • Expertise in Wireless Systems with an emphasis on Cellular systems and L1/PHY layer technologies.
  • Experience in firmware development for 4G/5G modems.
  • Strong object-oriented programming experience in C++, Objective C, or Swift (preferred).
  • Strong understanding of machine learning fundamentals (preferred).
  • Proficiency in GenerativeAI with experience building Agentic AI workflows (preferred).
  • Experience with iOS ML frameworks such as Foundation Models and Core AI (preferred).
  • Experience with scalable and cross-layer analytics system design (preferred).

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