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Validation Engineer Jobs in Edison, NJ (NOW HIRING)

WuXi Biologics

Senior Engineer l, Validation

Cranbury, NJ · On-site

$73K - $117K/yr

Job Title - Senior Engineer l, Validation Work Location - Cranbury NJ Job Summary The Validation Engineer supports the successful operation of facility, laboratory, cGMP Manufacturing and business ...

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How much do validation engineer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for validation engineer in Edison, NJ is $53.83, according to ZipRecruiter salary data. Most workers in this role earn between $40.82 and $65.43 per hour, depending on experience, location, and employer.

What is a validation engineer?

A validation engineer is responsible for testing equipment and electrical systems used in the manufacturing process. As a validation engineer, your primary duty is to work with the other members of the validation team to ensure that these systems measure up to company and industry standards. Skills needed for a validation engineer job include the ability to accurately test, measure, and calibrate manufacturing equipment for maximum efficiency and quality.

What are the key skills and qualifications needed to thrive as a validation engineer, and why are they important?

To thrive as a Validation Engineer, you need a solid background in engineering, quality assurance, and regulatory compliance, typically backed by a degree in engineering or a related field. Familiarity with validation protocols, statistical analysis tools, and industry-specific regulations such as FDA, GMP, or ISO standards is essential. Strong analytical thinking, attention to detail, and effective communication set top performers apart in this role. These skills ensure that products and processes meet stringent quality and safety standards, minimizing risks and ensuring regulatory approval.

What are some common challenges validation engineers face when working cross-functionally with other departments?

Validation Engineers frequently collaborate with teams such as manufacturing, quality assurance, and research & development. One common challenge is aligning differing priorities and timelines between departments, which can sometimes delay validation projects. Effective communication skills and flexibility are crucial to navigating these cross-functional interactions, ensuring that all regulatory and quality requirements are met without hindering production schedules. Building strong working relationships and proactively addressing potential concerns can help Validation Engineers facilitate smoother project execution.

What is the difference between Validation Engineer vs Quality Assurance Engineer?

AspectValidation EngineerQuality Assurance Engineer
CertificationsGMP, ISO, Six SigmaISO, Six Sigma, CQA
Work EnvironmentRegulated industries like pharma, biotech, medical devicesManufacturing, software, and product development
Primary FocusEnsuring products meet specifications through validation processesPreventing defects through process and system improvements
Common UsageRegulatory compliance, validation protocolsProcess audits, quality systems

Validation Engineers focus on verifying that products and processes meet regulatory standards through validation protocols, especially in regulated industries. Quality Assurance Engineers concentrate on maintaining overall product quality by implementing and auditing quality systems. While both roles aim to ensure product safety and efficacy, Validation Engineers are more involved in validation activities, whereas QA Engineers focus on process improvement and defect prevention.

Is validation engineer a good job?

Validation engineers are responsible for ensuring that products and processes meet quality standards through testing and documentation, often in regulated industries like pharmaceuticals or manufacturing. The role typically requires attention to detail, knowledge of validation protocols, and familiarity with tools like GxP or FDA regulations. It can offer stable employment and opportunities for specialization and advancement.

What degree do you need to be a validation engineer?

Validation engineers typically hold a bachelor's degree in engineering, life sciences, or a related field. Some roles may require a master's degree or specialized certifications in quality assurance or validation processes. Strong knowledge of industry standards and experience with validation tools are also important.
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Validation Engineer jobs near you
Infographic showing various Validation Engineer job openings in Edison, NJ as of August 2026, with employment types broken down into 86% Full Time, 7% Part Time, 3% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $111,965 per year, or $53.8 per hour.

AI Systems Validation Engineer

AMD (Advanced Micro Devices)

Secaucus, NJ • On-site

Other

Posted 4 days ago

Advanced Micro Devices rating

8.6

Company rating: 8.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

27th of 159 rated electronics manufacturers

Job description

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.

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