AI Platform Security Engineer

Amd

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
San Diego, CA
Salary
$174,400–$261,600 / yr
Posted
7 days ago
Freshness
Confirmed live yesterday
Closes
Sep 4, 2027

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $183k
This role $218k
$115k most similar roles pay here $277k

This role pays more than 79% of similar roles. Most pay $149,875–$216,300 — the shaded band above. At the midpoint, this role pays about $218k versus about $183k for comparable roles.

Based on 240 similar postings.

Employer

About Amd

AMD (Advanced Micro Devices) is a semiconductor company that develops high-performance processors, graphics cards, and adaptive computing solutions for gaming, data centers, and embedded markets. Industry: Semiconductors

Amd currently has 367 open roles on FindRole.

Listed pay typically runs $166,400–$249,600 across 367 roles with salary data.

Most-posted roles

View all roles at Amd

At a glance

TL;DR · AI Platform Security Engineer

The AI Platform Security Engineer joins the Product Security Office to secure platforms running demanding AI workloads across hardware, firmware, and software layers. This role involves implementing and validating security features on internal test platforms, conducting security assessments, and resolving issues reported by customers or researchers. You will manage keys, certificates, and device identities for secure boot and attestation while developing automation tools to improve testing efficiency. The position requires proficiency in C/C++, Python, and Linux environments, alongside experience with confidential computing, trusted execution environments, and GPU accelerator platforms. Key technical domains include memory safety, cryptography, virtualization, and supply-chain integrity practices like SBOM. You will collaborate with architecture and firmware teams to turn security requirements into verified results on real systems, ensuring the integrity of infrastructure used by leading AI companies.

What you'll do

  • Implement, configure, and validate security features on internal test platforms for AI systems.
  • Conduct security assessments of hardware, firmware, and software to identify and communicate vulnerabilities.
  • Develop, review, and apply security fixes verified on real hardware.
  • Analyze and resolve security issues reported by customers, researchers, and internal teams.
  • Manage keys, certificates, and device identities for secure boot and platform attestation.
  • Establish and maintain secure builds and AI harnesses.
  • Create automation tools to make security testing and remediation more efficient.
  • Support customer security requirements and respond to inquiries regarding findings.

What we're looking for

  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
  • Multiple years of experience in security engineering or platform, firmware, or software engineering with a security focus.
  • Experience securing and debugging systems across hardware, firmware, and software including vulnerability analysis and remediation.
  • Proficiency in C/C++ and at least one scripting language like Python within Linux environments.
  • Experience managing keys, certificates, and device identities for secure boot, attestation, and PKI.
  • Familiarity with GPU platforms, virtualization (SR-IOV, SIOV, MIG), and datacenter interconnect standards (PCIe, CXL).
  • Knowledge of confidential computing, trusted execution environments, and supply-chain integrity practices like SBOM.
  • Experience with hardware security standards and frameworks such as TCG, NIST, or OCP.

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