556 Qa Engineer jobs in Somerset,NJ

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Quality Assurance Inspector

KOOLTRONIC

Pennington, NJ 08534

~ 43 min OnsiteUrgently Hiring

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 Specialist

the fedcap group

New York, NY 10017

$66,300-$75,000/yr

~ 1 hr 1 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.

SmartExplore AI is experimental.

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Construction Resident Engineer

The LiRo Group

Trenton, NJ 08608

$160,000/yr

New, Posted 1 day ago

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Principal Engineer - Python API Development

Fidelity Investments

Elizabeth, NJ 07202

~ 40 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.

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Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)

Capital One

New York, NY 10001

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New Product Manufacturing Engineer

CACI International Inc

Florham Park, NJ 07932

~ 49 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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Nuclear Engineer

U.S. Navy

New Brunswick, NJ 08901

New, Posted 2 hours ago

Lead Software Engineer - Data Streaming/Integration Platforms

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

$155,700-$208,700/yr

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Immunohistochemistry Histotechnologist

Memorial Sloan Kettering Cancer Center

Brooklyn, NY 11226

Onsite

Bachelor's degree or equivalent in Medical Technology, Clinical Laboratory Science, Biology, Chemistry, or a related field.
NYS Clinical Laboratory Technologist license, Certified Histological Technologist license, or eligibility to obtain NYS licensure required.
Prior experience in Histology and/or Immunohistochemistry is strongly preferred.

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Senior Manager, Inspection Readiness

Genmab

Plainsboro, NJ 08536

~ 30 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Master's (MSc) degree in Life Sciences, Pharmacy, Medicine or a related discipline.
Minimum of 8 years of experience in Clinical Operations, Clinical Quality, Inspection Readiness or Clinical Compliance role within the pharmaceutical or biotechnology industry.
Strong understanding of clinical trial processes, ICH-GCP & regulations, and the clinical drug development lifecycle.
Project management skills and knowledge of tools and processes.
Experience mentoring and supporting the development of colleagues.
Excellent written and verbal communication skills.
Ability to proactively identify risks, develop mitigation strategies, and effectively resolve issues.
Strong stakeholder management skills with the ability to collaborate effectively across functions working in a complex, global, and matrix organization.

SmartExplore AI is experimental.