Cellular Software Enablement Engineer, Wireless Technologies & Ecosystems
About The Position
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. 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.
Requirements
- Bachelors degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent field, and 2 years of relevant industry experience; or MS a plus
- Strong C/C++ programming skills in embedded, bare-metal, or RTOS environments
- Proficiency in Python for tool development, scripting, and automation
- Experience debugging firmware at the register, memory, and bus level using JTAG, trace tools, LLDB, or equivalent debug interfaces
- Ability to read and interpret hardware specifications, memory maps, and register definitions
- Experience triaging and root-causing boot failures, crashes, and system hangs in embedded platforms
Nice To Haves
- 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
- Exposure to cellular or wireless modem firmware (LTE, 5G NR) or ARM architectures
- Experience with LLDB scripting or Python APIs for automated crash analysis
- Clear communication and ability to drive results across teams
Responsibilities
- Own critical bring-up milestones
- Build intelligent AI-powered debug tooling
- Maintain the hardware configuration verification infrastructure
- Work shoulder-to-shoulder with hardware, Physical layer, protocol stack, and platform software teams to ship world-class wireless connectivity
- Debug firmware boot flows
- Triage system-level crashes
- Resolve cross-functional integration issues across memory maps, bus fabrics, calibration engines, and subsystem boundaries
- Build AI systems and algorithms that learn from every failure
- Utilize AI-powered engineering tools, AI and LLM APIs, including MCP servers, AI agents, and automated workflows, to accelerate crash debugging, root-cause analysis, and silicon validation
- Document and share knowledge that enables the broader team to move faster across parallel chip programs
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
