Job description

ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future. Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career. 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 a technical 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.

Requirements

Must-haves

ADVANCE YOUR CAREER. ADVANCE THE WORLD.
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.

Nice-to-haves

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 .

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningpython

Platform: amd
Effort: medium

Benefits

Benefits detected in the listing.

Vision