AI Validation and Test Engineer

Amd

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Secaucus, NJ
Salary
$136,320–$204,480 / yr
Posted
48 days ago
Freshness
Confirmed live yesterday
Closes
Jul 24, 2027

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $171k
This role $170k
$120k most similar roles pay here $220k

This role pays more than 57% of similar roles. Most pay $138,650–$202,747 — the shaded band above. At the midpoint, this role pays about $170k versus about $171k 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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View all roles at Amd

At a glance

TL;DR · AI Validation and Test Engineer

The AI Validation and Test Engineer leads 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 identifying quality risks to ensure product readiness. The engineer will collaborate with architecture, silicon design, and software teams to resolve complex hardware and infrastructure issues while building automated validation frameworks and telemetry-driven workflows. Key technical requirements include proficiency in Python and Linux environments, along with knowledge of Bash or PowerShell. The role focuses on the specific domain of large-scale server platforms, including scale-up and scale-out architectures for data center and high-performance computing environments. The position requires deep expertise in computer architecture, operating systems, and hardware-software interactions to ensure reliable deployment at scale.

What you'll do

  • Lead system-level, rack-level, and cluster-scale validation strategies for AI and machine learning server platforms.
  • Define comprehensive validation plans covering customer deployment scenarios in scale-up and scale-out environments.
  • Develop testing methodologies across CPU, GPU, memory, BIOS, networking, storage, and firmware components.
  • Perform root cause analysis on complex hardware, firmware, software, and system integration issues.
  • Create scalable validation frameworks, automation infrastructure, and telemetry-driven workflows.
  • Analyze large-scale data to identify systemic failures, reliability risks, and performance bottlenecks.
  • Establish quality metrics and readiness criteria to ensure product success in hyperscale environments.
  • Mentor engineers and provide technical leadership to improve organization-wide engineering practices.

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.
  • Ability to lead cross-functional technical initiatives and influence engineering decisions across organizational boundaries.
  • Experience mentoring engineers and driving technical excellence within validation and product engineering organizations.

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