Embedded Security Engineer
Applied Intuition· Embedded Security
Sunnyvale, CA$150k - $242kfull-timePosted 10mo ago
About the role
Multifaceted Embedded Security Engineer responsible for evangelizing embedded security and leading implementation across multiple platforms to improve the vehicle platform’s embedded security architecture.
Responsibilities
- Assess and guide security for existing and new products
- Lead efforts in establishing and maintaining secure boot processes for embedded devices, ensuring the integrity and authenticity of firmware and software components during boot-up sequences.
- Collaborate with hardware engineers to integrate and manage HSM solutions within embedded systems, ensuring robust encryption, key management, and secure cryptographic operations.
- Work closely with cross-functional teams, including software developers, hardware engineers, quality assurance, and product management, to integrate security into the entire product development lifecycle.
Qualifications
- MS/BS degree in Computer Science, Engineering or equivalent
- 5+ years of experience in product or cybersecurity security engineering role
- Expertise in secure boot processes, HSM integration, and BSP maintenance for embedded devices.
- Strong understanding of cryptographic principles, protocols, and algorithms
- Expertise in programming languages commonly used in embedded systems development (e.g., C, C++, Python)
- Familiarity with industry-standard security frameworks, protocols, and compliance requirements (e.g., FIPS 140-2, Common Criteria)
Skills
Required:Secure boot
Benefits
- Base salary, equity, and benefits including health, dental, vision, life and disability insurance, 401k with employer match, learning and wellness stipends, and paid time off.
Last updated May 26, 2026. Interested? Apply on the company site.
About Applied Intuition
Building vehicle intelligence | Applied Intuition
Applied Intuition is the vehicle intelligence company with the tools, Vehicle OS, and autonomy stacks for creating safe, AI-powered vehicle experiences.
AIAutonomy stacksSelf-Driving SystemSimulationTesting & ValidationVehicle IntelligenceVehicle OSai-infrastructure-and-development
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