AI Systems Validation Engineer

Amd

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Secaucus, NJ
Salary
$136,320–$204,480 / yr
Posted
51 days ago
Freshness
Confirmed live yesterday
Closes
Jul 22, 2027

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $180k
This role $170k
$126k most similar roles pay here $230k

This role pays less than 58% of similar roles. Most pay $152,000–$208,225 — the shaded band above. At the midpoint, this role pays about $170k versus about $180k 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.

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At a glance

TL;DR · AI Systems Validation Engineer

The AI Systems Validation Engineer joins the team to lead system-level, rack-level, and cluster-scale validation for next-generation AI and machine learning server platforms. This role involves defining validation strategies, developing methodologies for CPU, GPU, memory, BIOS, BMC, networking, storage, and firmware components, and performing root cause analysis on complex hardware and software issues. The engineer will build scalable validation frameworks, automation infrastructure, and telemetry-driven workflows to ensure product quality across scale-up and scale-out environments. Key technical requirements include proficiency in Python and Linux, with knowledge of Bash or PowerShell. The role addresses the challenge of ensuring reliability and deployment readiness for large-scale server platforms in high-performance computing and data center infrastructures. Candidates must possess deep expertise in computer architecture, operating systems, and hardware-software interactions to identify risks and influence cross-functional engineering decisions.

What you'll do

  • Lead system-level, rack-level, and cluster-scale validation strategies for AI and machine learning server platforms.
  • Develop comprehensive validation plans covering CPU, GPU, memory, networking, storage, and infrastructure components.
  • Perform root cause analysis on complex hardware, firmware, software, and network integration issues.
  • Create scalable validation frameworks, automation infrastructure, and telemetry-driven workflows.
  • Analyze large-scale data to identify systemic failures, performance bottlenecks, and product readiness risks.
  • Establish quality metrics and coverage strategies to ensure products meet customer deployment requirements.
  • Mentor engineers and provide technical leadership to improve organization-wide engineering practices.
  • Communicate technical risks, status reports, and readiness assessments to senior leadership.

What we're looking for

  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
  • 8+ years of experience in system-level validation, platform validation, post-silicon validation, or large-scale infrastructure validation.
  • Proven experience validating large-scale server, AI, cloud, HPC, or data center platforms.
  • Deep understanding of computer architecture, operating systems, networking, storage, and hardware/software interactions.
  • Experience developing automated validation frameworks, orchestration systems, and large-scale test infrastructure.
  • Proficiency in Python and Linux environments with knowledge of Bash and/or PowerShell.
  • Demonstrated ability to lead cross-functional technical initiatives and mentor engineers to drive technical excellence.
  • Ability to perform root cause analysis for complex hardware, firmware, software, and networking issues.

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