AI Systems Validation Engineer

ADVANCE YOUR CAREER. ADVANCE THE WORLD.

At AMD, we believe technology can change lives for the better. It can heal us, entertain us, and make us more connected, productive, and understanding of the world around us. And we’re looking for talent who feel the same: people who want to leave the planet better than they found it, those who don’t shy away from humanity’s challenges but are determined to help solve them.

AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI. Whether you’re designing next-gen processors, enabling AI breakthroughs, or creating go-to-market plans, every role at AMD contributes to something bigger — technology that moves the world forward.

THE ROLE

This role focuses on leading system-level, rack-level, and cluster-scale validation for next-generation AI and machine learning platforms. You will define validation strategies, drive technical direction, and lead complex validation initiatives across hardware, firmware, software, and infrastructure domains.

You will work closely with architecture, platform engineering, silicon design, firmware, software, and deployment teams to ensure product quality, reliability, and deployment readiness at scale. The role requires deep technical expertise, strong analytical skills, and the ability to influence technical decisions across multiple engineering organizations. You will be responsible for establishing validation methodologies, driving execution across large-scale validation environments, and identifying quality risks that impact product readiness and customer deployments.

THE PERSON

You are atechnical leader with extensive experience in system-level validation and large-scale server platforms. You thrive on solving complex technical problems, driving cross-functional initiatives, and defining scalable validation approaches for emerging technologies.

You are comfortable operating with minimal supervision while providing technical leadership across engineering teams. You possess strong debugging skills, sound technical judgment, and a deep understanding of hardware-software interactions. You proactively identify technical risks, drive resolution of complex platform issues, and influence engineering decisions that improve product quality, validation effectiveness, and deployment readiness. You are passionate about mentoring engineers and elevating engineering excellence across the organization.

KEY RESPONSIBILITIES

• Lead

  system-level, rack-level, and cluster-scale validation strategy

  for AI and machine learning server platforms.

• Define and drive

  comprehensive validation plans

  covering customer deployment scenarios across

  scale-up and scale-out environments

  .

• Develop

  validation methodologies

  and test strategies spanning CPU, GPU, memory, BIOS, BMC, networking, storage, platform firmware, operating systems, and infrastructure components.

• Collaborate with architecture, hardware, firmware, software, and platform engineering teams to define validation requirements, identify coverage gaps, and improve

  overall product quality

  .

• Lead investigation and

  root cause analysis

  of complex hardware, firmware, software, networking, and system integration issues.

• Drive

  technical decision-making

  within the validation organization and influence cross-functional teams to resolve

  critical product risks

  and quality concerns.

• Define and enhance

  scalable validation frameworks

  ,

  automation infrastructure

  ,

  telemetry-driven workflows

  , and

  data-driven validation methodologies

  .

• Analyze

  large-scale validation data

  to identify systemic failures, reliability risks, performance bottlenecks, and product readiness concerns.

• Establish

  validation readiness criteria

  ,

  quality metrics

  , and

  coverage strategies

  that improve execution efficiency and provide

  early risk identification

  .

• Mentor and provide

  technical leadership

  to engineers, helping improve validation methodologies, automation capabilities, debugging effectiveness, and system-level engineering practices.

• Drive execution across

  multiple validation programs

  while managing priorities, dependencies, schedules, and technical risks.

• Communicate validation status, readiness assessments, quality metrics, technical recommendations, and key risks to

  senior technical leadership and management

  .

• Support

  customer-focused validation efforts

  by ensuring test environments accurately represent

  real-world deployment conditions

  and

  hyperscale operating environments

  .

• Drive

  continuous improvements

  in validation processes, tools, and automation to improve organizational efficiency, test coverage, and product quality.

PREFERRED EXPERIENCE

• 8+ years of experience

  in system-level validation, platform validation, post-silicon validation,

  large-scale infrastructure validation

  , or related engineering disciplines.

• Proven experience validating

  large-scale server, AI, cloud, HPC, or data center platforms

  .

• Demonstrated ability to lead investigation and resolution of

  complex hardware, firmware, software, networking, and infrastructure issues

  .

• Experience validating

  scale-up and scale-out architectures

  , including

  rack-scale and cluster-scale deployments

  .

• Deep understanding of

  computer architecture

  ,

  server platform design

  , operating systems, networking, storage, and hardware/software interactions.

• Experience developing

  automated validation frameworks

  ,

  orchestration systems

  , and

  large-scale test infrastructure

  .

• Strong proficiency in

  Python

  and Linux environments, with working knowledge of Bash and/or PowerShell.

• Experience leveraging

  telemetry

  ,

  analytics

  , and

  data-driven methodologies

  to improve validation coverage, efficiency, and root cause analysis.

• Familiarity with

  AI

  ,

  machine learning

  ,

  GPU computing

  , or

  accelerated computing environments

  deployed in data center infrastructures.

• Demonstrated 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.

• Experience supporting

  product readiness

  ,

  customer deployment validation

  , and

  release qualification activities

  .

• Strong communication skills with the ability to convey technical risks, recommendations, and status to

  executive and technical leadership

  .

ACADEMIC CREDENTIALS

• Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent.

LOCATION

• Secaucus, New Jersey (Onsite)

This role is not eligible for visa sponsorship.

#LI-SC3

Benefits offered are described: 

AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.  AMD’s “Responsible AI Policy” is available here.

This posting is for an existing vacancy.