Security Engineer (purple Team)

Applied Intuition

Sunnyvale, California, United States
Base: $150,000 - $220,000 usd annually; equity: op...
On-site (5 days a week with some flexibility)
Penetration testing of embedded systems
Linux or qnx internals knowledge
C/c++ or python programming proficiency
Applied Intuition is seeking a Security Engineer to join their Vehicle OS team in Sunnyvale, California. The role involves ensuring the security of automotive software and systems, with a focus on collaboration and hands-on security assessments

Job Summary

  • Applied Intuition is a $15 billion Silicon Valley company powering the future of physical AI for the automotive and defense industries.
  • The role involves leading security verification initiatives, conducting hands-on penetration tests, and designing secure vehicle software architectures.
  • Compensation includes a base salary range of $150,000 to $220,000 USD annually along with equity and comprehensive benefits.

Matching Summary

Match Score: 85

Applied Intuition is seeking a Security Engineer to join their Vehicle OS team in Sunnyvale, California. The role involves ensuring the security of automotive software and systems, with a focus on collaboration and hands-on security assessments.

Salary

Base: $150,000 - $220,000 USD annually; Equity: Options and/or restricted stock units included; Benefits: Comprehensive health, dental, vision, life, disability, 401k match, and stipends

Skills & Requirements

Must-have

  • Penetration testing of embedded systems
  • Linux or QNX internals knowledge
  • C/C++ or Python programming proficiency
  • Secure boot and key management expertise
  • Vulnerability research using fuzzing frameworks

Nice-to-have

  • Experience with CAN and Automotive Ethernet protocols
  • Familiarity with ISO 21434 and UN R155 standards
  • Knowledge of Android Security or embedded OS
  • Background securing Hardware Security Modules
  • Understanding of automotive SoCs and MCUs

Key Requirements

  • Strong experience in penetration testing of embedded systems
  • Proficiency in C/C++ or Python programming
  • Solid understanding of hardware security primitives
  • Experience with automated fuzzing frameworks like AFL or libFuzzer

Work Rights

Not specified

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