Senior Security Engineer - Kernel & Embedded Security, Sear

Apple Apple · Big Tech · Paris, Ile-de-France, France · Software and Services

Senior Security Engineer focused on kernel and embedded security for Apple platforms. The role involves vulnerability research, binary exploitation, security tooling development, fuzzing, and applying AI techniques (LLMs, ML) for security research. Responsibilities include proposing and driving architecture changes, evaluating and strengthening privileged layers, and developing proof-of-concept validations. The role requires experience in code and product development, deep understanding of OS kernels/firmware/embedded components, and experience shipping products.

What you'd actually do

  1. your primary focus will be on the kernel and embedded layers of Apple platforms but extends to all parts of the platforms.
  2. You will partner with vulnerability researchers to understand attacks found by others.
  3. You are going to propose architecture changes/mitigation in partnership with other experts in the field.
  4. You are going to drive these changes into the products by partnering with engineering teams.
  5. You will also work in cross-functional teams alongside other researchers and engineering teams to evaluate and strengthen the most privileged layers of our products.

Skills

Required

  • code development
  • product development
  • operating system kernels
  • firmware
  • embedded components
  • AI techniques and tools, such as LLMs or Machine Learning, for security research
  • shipping products

Nice to have

  • kernel internals
  • virtual memory management
  • system call interfaces
  • driver frameworks
  • firmware and boot ROM security analysis
  • secure boot chains
  • hardware trust anchors
  • embedded processors and coprocessors security
  • Secure Enclave
  • DMA-capable peripherals
  • baseband
  • tool development
  • C
  • C++
  • Python
  • Swift
  • Objective-C
  • propose and drive architecture changes
  • Apple operating systems like iOS or macOS
  • collaboration skills

What the JD emphasized

  • Proven experience in code development and product development
  • Ability to apply AI techniques and tools, such as LLMs or Machine Learning, for security research
  • Understanding and experience in shipping products

Other signals

  • AI techniques and tools, such as LLMs or Machine Learning, for security research
  • shipping products
  • vulnerability research
  • binary exploitation
  • security tooling development
  • fuzzing