698 Quality Assurance Engineer Engineering jobs in Edison,NJ

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Quality Assurance Specialist

the fedcap group

New York, NY 10017

$66,300-$75,000/yr

~ 48 min OnsiteBilingual Preferred

A bachelor's degree in a related discipline required.
3-5 years' experience in Quality Assurance, monitoring, and/or Compliance experience in a similar role.
Experience with Continuous Quality Improvement frameworks and instruments.
Experience in accurate electronic data analysis and QA.
Prior experience responding to external audit reports and preparing corrective action plans.
Experience in developing and implementing processes for continual quality improvement.

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Quality Assurance Inspector

KOOLTRONIC

Pennington, NJ 08534

~ 47 min Onsite

Prior manufacturing quality assurance and inspection experience.
Familiarity with quality testing machines and systems, measuring instruments, calibration of production tooling, and electronic devices.
Thorough knowledge of quality control standards and testing methodologies.
Knowledge of ISO 9001: 2015 standards.
Proficient in Microsoft Office/Excel/Word applications.

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Quality Assurance Tech

Mercury Systems

Caldwell, NJ 07006

~ 45 min Onsite

Typically requires a minimum of three years of quality assurance experience.
High School diploma or General Education Degree (GED).
Previous ISO 17025 experience.
Previous AS9102 First article inspection experience.
Previous AS9100 Quality Management Standard experience.
Previous IPC-A-610 and IPC-J-STD-001 training and/or certification.
Experience with electrical and mechanical inspection tools.
Ability to work under a microscope as needed.
Ability to work overtime as needed.
Ability to travel between West Caldwell & Saddle River, NJ sites.
Must currently have or be eligible to obtain a DoD Secret clearance.
"This position requires you to have or obtain a government security clearance. Security clearances may only be granted to U.S. citizens."

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New Product Manufacturing Engineer

CACI International Inc

Florham Park, NJ 07932

~ 43 min Onsite

Ability to work independently with minimal supervision and mentor lower-level professionals.
Must be a US person.
BA/BS degree in a technical discipline from an accredited college or university.
Minimum of five (5) years of experience as a manufacturing engineer or in a related role.
Percentage of Travel Required: Up to 10%
Type of Travel: Local

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Quality Control Engineer III (Hybrid - New York, NY)

Energy Solutions

New York, NY 10279

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Manufacturing Engineer

Whippany Actuation Systems

Whippany, NJ 07981

$90,000-$110,000/yr

~ 44 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

A bachelor's degree in manufacturing, Aerospace, or Mechanical Engineering from an accredited university or college;
One year of experience in a manufacturing environment which includes interpreting blueprints and familiarity with GD&T;
Previous experience with CAD systems;

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Software Engineering/Applications Leadership Advisory - Executive Technology Services for Global Enterprises

Gartner

Newark, NJ 07175

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HyCO Production and Low-Carbon Technology Engineer

Matheson Tri-Gas

Warren, NJ 07059

$70,000-$120,000/yr

~ 31 min Onsite

Master's Degree in chemical engineering or bachelor's degree complemented with adequate expertise
Minimum 5 years'experience in industrial gas processes which includes direct engineeringexperience (developing HMBs, PFDs, P&IDs;, equipment sizing/specification)
Hydrogen, carbon monoxide, and syngas expertise
Technology identification, assessment, and mapping capabilities
Basic understanding of equipment design
Able to understand cross-impact between conceptual design, plant design and operations
High-level writing proficiency for formal and informal communications and documents including technical papers, assessments, funding, and grant application drafting, supporting technology sourcing and licensing agreement drafting and technical proposal writing
Candidate must beauthorized to work in the USA
Travel willing up to 25% and to flex work hours to ensure coverage of critical timelines

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Lead Systems Engineer (HPC)

Princeton University

Princeton, NJ 08542

~ 37 min Onsite

10+ years of strong experience managing advanced research computing systems.
Strong expertise with Linux system administration, installation, and troubleshooting.
Advanced experience writing scripts in languages such as bash, Python and/or Perl.
Proficient in managing networking in HPC environments.
Strong experience managing software in an advanced research computing environment.
Experience supporting scheduling and managing jobs (SLURM) in large-scale computing environments.
Strong oral and written communication skills, with the ability to proactively engage peers and communicate effectively across a diverse stakeholder community.
Strong ability to solve complex and system infrastructure problems, and share expertise with colleagues at all levels.
Demonstrated ability to collaborate across teams to solve systems and infrastructure challenges, aligning day‑to‑day operational needs with longer‑term technical and organizational goals as technologies evolve.
When provided access to personal, proprietary and/or otherwise confidential data, maintain such data in the strictest confidence and follow procedures to ensure the privacy, security, and proper use of data.
Education: Bachelors degree in a related field or equivalent experience.

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Principal Engineer - Python API Development

Fidelity Investments

Harrison, NJ 07029

~ 31 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline
8+ years (typically 10+) building and operating production platforms and services at scale
Deep software engineering expertise in Python and distributed systems
A track record of building production‑grade services, libraries, and internal platforms
Linux fluency and scripting are required
Cloud platform leadership (AWS) —hands-on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS—and experience shaping platform patterns that other teams adopt
Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial
DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git‑based workflows), containerization (Docker), release governance, and multi‑environment promotion for ML‑enabled workloads
Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post‑mortems) for ML serving and data/feature pipelines
ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use—without a research or modeling focus
Cross‑org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes
Set platform strategy and standards for ML packaging, deployment, serving, and observability—driving consistent adoption across squads and business units
Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production
Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services
Advance model/data observability—tooling for data and feature drift detection, prediction‑quality monitoring and uncertainty signals, and automated diagnostics/ explainability
Lead cross‑platform incident response and post‑mortems, drive systemic fixes, and evolve standards to prevent recurrence—across applications and the platform
Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale
Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long‑term platform roadmap
The base salary range for this position is $107,000-216,000 USD per year.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.