Cellular Software Enablement Engineer, Wireless Technologies & Ecosystems

Apple is where individual imaginations gather, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something.

The Cellular SW & Technologies organization within Apple's Wireless Technologies & Ecosystems group is responsible for in-house cellular baseband software development, wireless performance, and cellular & connectivity technologies. Within this organization, the Cellular CoreBSP Enablement team is the first team to boot firmware on every new cellular modem chip Apple designs, from the earliest pre-silicon emulation models through post-silicon hardware validation and into product commercialization. We are looking for a hands-on firmware engineer to join this high-visibility team. You will own critical bring-up milestones, build intelligent AI-powered debug tooling, maintain the hardware configuration verification infrastructure, and work shoulder-to-shoulder with hardware, Physical layer, protocol stack, and platform software teams to ship world-class wireless connectivity. This role demands someone who fights for excellence in everything they build, drives what matters by focusing on the highest-impact problems, and fosters trust through transparent communication with partners across the organization.

Description

As a member of the Cellular CoreBSP Enablement team, you will be at the center of Apple's cellular modem development from the earliest stages of each new chip program. You will be involved in the silicon bring-up on pre-silicon emulation platforms (Virtual prototypes, FPGA models) and post-silicon hardware, debugging firmware boot flows, triaging system-level crashes, and resolving cross-functional integration issues across memory maps, bus fabrics, calibration engines, and subsystem boundaries. What sets this role apart is that you'll not only debug but also build AI systems and algorithms that learn from every failure you encounter. This transformation will turn manual triage into intelligent automation. AI-powered engineering tools, AI and LLM APIs, including MCP servers, AI agents, and automated workflows, will be utilized to accelerate crash debugging, root-cause analysis, and silicon validation. Throughout, you will document and share knowledge that enables the broader team to move faster across parallel chip programs.","responsibilities":"Boots and validates firmware across pre-silicon emulation and post-silicon hardware, using AI-assisted workflows to accelerate bring-up milestones across chip programs.

Debugs and root-causes firmware boot failures, data aborts, crashes, and system hangs using JTAG debuggers, LLDB, coredump analysis, and register-level inspection, while building retrieval and classification systems that automate pattern recognition across failure signatures.

Designs and develops AI-powered engineering tools and LLM APIs, building MCP servers, AI agents, and automated workflows for crash analysis and silicon validation.

Develops and maintains Python-based engineering tools such as register dump utilities, LLDB scripting extensions, and build/test automation that improve debug efficiency and team velocity.

Validates calibration sequences and cold/warm boot firmware flows to ensure correct hardware configuration across all boot paths.

Collaborates cross-functionally with hardware design, PHY/protocol, driver, power management, and AP/iOS platform teams to resolve integration issues spanning organizational boundaries.

Documents bring-up procedures, workarounds, and consolidated recipes that enable the broader team to execute efficiently on parallel chip programs.

Preferred Qualifications

Experience building with LLM APIs or AI SDKs - tool use, prompt engineering, or agentic architectures.

Familiarity with MCP server development or AI-agent integration with engineering tools and data sources.

Coursework or project experience in ML/AI - classification, embeddings, or information retrieval.

Experience with silicon bring-up, board bring-up, or pre-silicon FPGA emulation workflows.