Hardware Security Engineer Intern (Summer 2027)

Together AI•San Francisco, CA

20h

About The Position

As a Hardware Security Engineer Intern, you’ll contribute to building open, transparent, and secure AI systems. You’ll work on projects that safeguard corporate assets by implementing and operating preventative and reactive security controls, collaborating with teams and stakeholders across the company. The role focuses on building AI-assisted security applications. The internship spans over twelve weeks. Interns work with industry-leading engineers building a cloud from the ground up and may contribute to influential open source projects. Available internship date ranges are May 18 to August 7 or June 15 to September 4.

Requirements

Bachelor’s degree or equivalent in Electrical Engineering, Computer Science, Software Engineering, or a related field, earned or expected by Summer 2028.
Foundational understanding of computer architecture, operating systems, networking, embedded systems, digital logic, or electronics.
Strong programming skills with proficiency in Python or Bash.
Exposure to building AI-assisted applications.

Nice To Haves

Prior security engineering experience through internships, hackathons, or projects.
Coursework, projects, research, or internship experience in hardware security, embedded security, platform security, computer architecture, or secure systems design.

Responsibilities

Help design, prototype, and assess security solutions for AI infrastructure across hardware, firmware, operating systems, and cloud services, including BMCs, TPMs, secure boot chains, and device and workload identity systems.
Support secure platform lifecycle work, such as device onboarding, provisioning, inventory, and configuration validation.
Build automation and internal tools in Python, Bash, or similar languages to collect platform telemetry, detect configuration drift, or support incident investigations.
Prototype AI-assisted security tools for tasks such as asset classification, anomaly detection, and detection-and-response workflows.
Research an emerging area such as confidential computing, remote attestation, or hardware roots of trust, and share findings with the team.
Own a well-scoped project from start to finish with mentorship from experienced engineers, deliver clean, well-documented code, and present results at the end of the internship.