Senior AI Engineer for Embedded Security

The MITRE Corporation is seeking a Senior AI Engineer to apply AI/ML to embedded security challenges, supporting the design of resilient embedded computing capabilities in threat environments. This onsite role in Bedford, MA focuses on turning AI research into practical engineering outcomes across embedded systems and security workflows.

Role Overview

In this position, you will evaluate and deploy AI/ML approaches to mission-critical embedded security problems. You will work across software and hardware reverse engineering, help accelerate embedded security development and security workflows, and contribute technical support, recommendations, and prototypes to sponsors.

Key Responsibilities

• Assess and implement AI/ML solutions for embedded security challenges that require operational reliability.
• Oversee the integration of AI/ML into existing tools to expand engineering and security capabilities.
• Guide research efforts that connect academic and frontier capabilities to real-world embedded security solutions.
• Collaborate with multidisciplinary teams on embedded security research, vulnerability assessment, and hardware/software co-design.
• Produce prototypes, deliver technical recommendations, and provide engineering support directly to sponsors.
• Support embedded security requirements development, acquisition guidance, and implementation security best practices.
• Communicate and document technical approaches, risks, and results for sponsors and stakeholders.
• Provide technical mentorship to junior engineers.

Required Qualifications

• Typically requires a minimum of 5 years of related experience with a bachelor’s degree; or 3 years of related experience with a master’s degree; or a PhD with relevant experience who can contribute immediately; or an equivalent combination of related education and work experience.
• Experience applying AI/ML or deep learning to real technical problems.
• Experience developing custom AI/ML solutions for domain-specific challenges.
• Demonstrated experience in embedded systems security and low-level system analysis.
• Strong background in one or more areas: Computer architecture / microarchitecture, Operating systems security, Hardware security, Reverse engineering, Side-channel analysis / fault injection.
• Proficiency in Python and C/C++, including experience with low-level or embedded software development.
• Experience with Linux, RTOS, kernel/driver concepts, or embedded operating environments.
• Ability to lead technical work, communicate with sponsors, and shape research direction.
• Must be eligible to obtain and maintain a Secret U.S. Government-issued Security Clearance; applicants must be U.S. citizens.
• At least 3 days per week on-site.

Preferred Qualifications

• Master’s degree or PhD in AI, Computer Engineering, Electrical Engineering, Computer Science, or a related field.
• Active security clearance, particularly Top Secret or TS/SCI.
• Technical depth spanning transistor/silicon-informed concerns through OS, firmware, and application layers.
• Strong problem-framing in ambiguous research environments.
• Ability to connect AI/ML with practical embedded security outcomes.
• Strong collaboration and mentoring mindset.
• Comfort leading both hands-on engineering and strategic technical direction.

Technology Focus

• AI/ML, deep learning
• Python, C/C++
• Linux, RTOS

Location and Work Setting

• Location: Bedford, MA
• Work type: Onsite

Compensation

USD 143,600 - 215,400 per year. Salary midpoint: $179,500. Salary range sections: $143,600 - $179,500 - $215,400.

Security Clearance Requirements

• Requisition clearance: None listed as minimum.
• Candidate must have or obtain Secret within one year from date of hire.
• Applicants selected will be subject to a US government security investigation.