Startups · AI

Hardware Security Engineer, New Grad (2027)

Together AI · San Francisco · On-site

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About Together AI

Build what's next on the AI Native Cloud. Full-stack AI platform for inference, fine-tuning, and GPU clusters — powered by cutting-edge research. Backed by General Catalyst, Kleiner Perkins and NEA.

About the role

As a Hardware Security Engineer, you’ll contribute to building open, transparent, and secure AI systems. You’ll have the opportunity to work on projects that safeguard corporate assets by implementing and operating preventative and reactive security controls while collaborating with teams and stakeholders across the company. We’re looking for an intern that is interested in building AI-assisted security apps. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • Actively pursuing a degree in Electrical Engineering, Computer Science, Software Engineering, or a related field expected by Summer 2027
  • Foundational understanding of computer architecture, operating systems, networking, embedded systems, digital logic, or electronics
  • Strong programming skills with a proficiency in Python or bash
  • Exposure to building AI-assisted applications
More about this role

As a Hardware Security Engineer, you’ll contribute to building open, transparent, and secure AI systems. You’ll have the opportunity to work on projects that safeguard corporate assets by implementing and operating preventative and reactive security controls while collaborating with teams and stakeholders across the company. We’re looking for an intern that is interested in building AI-assisted security apps.

  • Design, prototype, and implement security solutions for AI infrastructure across hardware, firmware, operating systems, and cloud services, including BMCs, TPMs, secure boot chains, networking interfaces, and workload identity systems.
  • Assess and improve the security posture of server and accelerator platforms, including firmware update processes, device identity, trusted execution, and hardware-backed cryptography.
  • Support the secure platform lifecycle, from device onboarding, provisioning, and inventory through configuration validation and decommissioning.
  • Build automation and internal tools in Python, Bash, or similar languages to collect platform telemetry, detect configuration drift, and support incident investigation.
  • Build AI-assisted security applications...

Read the full posting on Together AI's site ↗

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