ZipRecruiter

Log In

1

Validation Engineer Jobs in Summit, NJ (NOW HIRING)

CYNET SYSTEMS

Validation Lead

Raritan, NJ · On-site

$50 - $55/hr

Strong Computer System Validation (CSV) expertise, especially within acquisition, divestiture, and ... We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and ...

Bloomberg LP

Model Validation Expert

New York, NY · On-site

... Engineering, Product, Quants, and Risk Advisors to strengthen model development standards and ... validation standards, methodologies, and best practices Stay at the forefront of regulatory ...

supremesoft

CSV Validation QC Engineer

Jersey City, NJ · On-site

Mandatory Skills 7+ years of Lab Systems (& lab instrumentation) validation experience is required; with 7+ years of other CSV experience (with extensive experience authoring requirement specs, test ...

supremesoft

CSV Validation QC Engineer

Jersey City, NJ · On-site

Mandatory Skills • 7+ years of Lab Systems (& lab instrumentation) validation experience is required; with 7+ years of other CSV experience (with extensive experience authoring requirement specs ...

Katalyst CRO

CSV Engineer

Somerset, NJ · On-site

Katalyst CRO is seeking an IT CSV Validation Engineer responsible for authoring and executing validation test scripts to support regulated systems within a GxP life sciences environment. This role ...

previous page

Showing results 41-60

All JobsValidation Engineer JobsValidation Engineer Jobs in Summit, NJ

Validation Engineer information

See Summit, NJ salary details

$24

$55

$83

How much do validation engineer jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for validation engineer in Summit, NJ is $55.25, according to ZipRecruiter salary data. Most workers in this role earn between $41.88 and $67.16 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.
More about Validation Engineer jobs

What are popular job titles related to Validation Engineer jobs in Summit, NJ?

For Validation Engineer jobs in Summit, NJ, the most frequently searched job titles are:

What job categories do people searching Validation Engineer jobs in Summit, NJ look for?

The top searched job categories for Validation Engineer jobs in Summit, NJ are:

What cities near Summit, NJ are hiring for Validation Engineer jobs?

Cities near Summit, NJ with the most Validation Engineer job openings:

Validation Engineer jobs near you
Infographic showing various Validation Engineer job openings in Summit, NJ as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $114,922 per year, or $55.3 per hour.

Senior Staff AI Infrastructure Validation Engineer

Advanced Micro Devices, Inc

Secaucus, NJ • On-site

$143K/yr

Full-time

Re-posted 20 days ago

Key responsibilities

  • Lead system-level, rack-level, and cluster-scale validation strategy for AI server and accelerated computing platforms.

  • Design, develop, and maintain automated validation frameworks, orchestration systems, telemetry pipelines, and data-driven workflows used to qualify AI platforms from initial bring-up through platform lifecycle.

  • Lead investigation and root-cause analysis of complex hardware, firmware, software, networking, and infrastructure issues using structured debugging methodologies and telemetry-driven analysis.

Advanced Micro Devices rating

8.6

Company rating: 8.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

26th of 161 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 infrastructure and accelerated computing platforms. You will define validation strategies, drive technical direction, and lead complex validation initiatives spanning hardware, firmware, software, networking, and infrastructure domains.
You will develop and enhance automated validation frameworks, telemetry-driven analysis pipelines, and large-scale test infrastructure used to qualify AMD AI platforms from initial bring-up through customer deployment readiness. The role requires deep technical expertise in hardware-software interactions, strong analytical and debugging skills, and the ability to influence technical decisions across multiple engineering organizations.
Working closely with architecture, silicon, platform engineering, firmware, software, manufacturing, and deployment teams, you will identify quality risks, drive root-cause analysis, establish scalable validation methodologies, and ensure product quality, reliability, and deployment readiness at scale.
THE PERSON
You are a technical leader with extensive experience validating complex server, rack-scale, or distributed computing environments. You thrive on solving difficult technical problems, building scalable validation approaches, and driving improvements that increase platform quality and engineering efficiency.
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 across modern server platforms.
You proactively identify technical risks, establish effective validation strategies, and drive resolution of complex platform issues. You are passionate about mentoring engineers, improving validation methodologies, and influencing engineering decisions that improve product quality, validation effectiveness, and customer readiness.
KEY RESPONSIBILITIES
  • Lead system-level, rack-level, and cluster-scale validation strategy for AI server and accelerated computing platforms.
  • Define and drive comprehensive validation plans that represent real-world customer deployment scenarios across scale-up and scale-out infrastructures.
  • Design, develop, and maintain automated validation frameworks, orchestration systems, telemetry pipelines, and data-driven workflows used to qualify AI platforms from initial bring-up through platform lifecycle.
  • Develop validation methodologies spanning CPUs, GPUs, memory subsystems, PCIe fabrics, platform firmware, BIOS/UEFI, BMCs, networking, storage, operating systems, rack management infrastructure, and cluster-level software components.
  • Execute and analyze large-scale validation workloads across lab, manufacturing, and pre-production environments to evaluate platform reliability, stability, scalability, performance, and operational readiness.
  • Lead investigation and root-cause analysis of complex hardware, firmware, software, networking, and infrastructure issues using structured debugging methodologies and telemetry-driven analysis.
  • Develop tooling and automation to collect, aggregate, and analyze health and performance telemetry from technologies such as Redfish, IPMI, OpenBMC, PCIe AER, SEL/SDR logs, operating system diagnostics, GPU telemetry, and platform management interfaces.
  • Drive technical decision-making within the validation organization and influence cross-functional teams to resolve product quality risks and readiness concerns.
  • Establish validation readiness criteria, release qualification requirements, coverage metrics, and quality gates that improve execution consistency and early risk identification.
  • Partner closely with architecture, silicon, firmware, software, systems engineering, manufacturing, deployment, and support organizations to continually improve product quality, reliability, and validation effectiveness.
  • Own and evolve validation content, test procedures, troubleshooting guides, release documentation, and engineering standards used to support repeatable execution across validation environments.
  • Work directly with technicians, validation engineers, and operational teams executing your test content, providing technical guidance, reviewing findings, driving procedural consistency, and improving test development practices across programs.
  • Mentor engineers and provide technical leadership that improves debugging effectiveness, automation capabilities, validation methodologies, and overall engineering excellence.
  • Communicate validation status, readiness assessments, technical recommendations, quality metrics, and key risks to engineering leadership and stakeholders.
  • Drive continuous improvement of validation frameworks, automation infrastructure, tooling, documentation, and development processes to increase organizational efficiency, test coverage, and product quality.

PREFERRED EXPERIENCE
  • Experience validating large-scale AI, cloud, HPC, server, rack-scale, or data center platforms.
  • Strong background in hardware-software integration, platform validation, system bring-up, infrastructure qualification, and deployment readiness activities.
  • Experience developing software and automation using Python, Linux, and modern test orchestration frameworks.
  • Proven ability to investigate and resolve complex issues spanning hardware, firmware, operating systems, networking, storage, platform management, and distributed infrastructure environments.
  • Experience leveraging telemetry, observability, and large-scale data analysis to improve validation coverage, root-cause analysis, and engineering decision-making.
  • Familiarity with server and rack technologies including:
    • AMD EPYC processors and Instinct accelerators
    • GPU management and observability frameworks
    • PCIe architecture and AER diagnostics
    • BIOS/UEFI and firmware validation
    • BMC technologies, IPMI, Redfish, and OpenBMC
    • InfiniBand, Ethernet, RoCE, and scale-up interconnects
    • Storage technologies and NVMe validation
    • Cluster management and distributed computing environments
  • Experience supporting manufacturing validation, ODM/OEM integration, deployment qualification, customer readiness, or hyperscale infrastructure programs.
  • Demonstrated ability to lead cross-functional technical initiatives and influence engineering decisions across organizational boundaries.
  • Strong verbal and written communication skills with the ability to communicate technical findings, quality risks, recommendations, and readiness assessments to engineers, technicians, program managers, and senior leadership.

ACADEMIC CREDENTIALS
  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or a related technical discipline.

LOCATION
  • Secaucus, New Jersey (short commute from NYC)
  • This role is expected to be primarily onsite with flexibility in accordance with AMD workplace guidelines.
  • Regular hands-on interaction with servers, AI racks, cluster infrastructure, validation laboratories, and deployment environments is required.
  • Periodic support during critical platform bring-up activities, release qualification milestones, customer readiness events, and program ramp cycles may be required.

This role is not eligible for visa sponsorship.
#LI-KW1
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.

What Advanced Micro Devices employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply