1135 System Test Engineer jobs in Newark,NJ

Associates degree in engineering or a closely related technical field, or equivalent combination of education, skill, and experience
Minimum of 3 years of "hands-on" photonic or electrical fabrication, test, and measurement experience
Ability to follow detailed work instructions or test procedures
Prior experience with custom fine assembly
Must be computer savvy and a competent user of Microsoft Office products
Good interpersonal and communication (written and oral) skills
Must be a U.S. person able to receive export-controlled information

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Technician - Assembly/Test

Kearfott Corporation

Pine Brook, NJ 07058

$22-$36/hr

~ 23 min OnsiteUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

High School diploma or equivalent.
Experience in hands on assembly and mechanical experience testing.
Able to follow operations sheets for detailed work instructions.
Must be a US Citizen.
Ability to operate several types of machine tools and perform related hand and bench operations.
Ability to plan operations and perform complicated set-ups for self and others
Recommend changes in methods or designs based upon knowledge of metals and metal processing
Ability to read and interpret engineering drawings
Able to maintain records, work status and supply inventory
Participate in team continuous improvement activities
Enter data in inventory control system
Cross train within the department on other various operations as required
Training and documentation of other associates in the department to add production capabilities
Willingness to learn lathe work is a plus
Willingness to learn soldering is a plus

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Engineer

Capital One

New York, NY 10001

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Information Technology Professional (IT Support)

U.S. Navy

East Newark, NJ 07029

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QC Inspector, CMM Programmer

Marotta Controls

Parsippany, NJ 07054

$36.50-$47/hr

~ 25 min OnsiteUrgently HiringFlexible ScheduleEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Technical school diploma or equivalent combination of education and experience.
Minimum 5-7 years' experience with Mechanical / Electronic part inspection in a manufacturing or production Environment.
Experience in quality with machined / mechanical parts using GD&T; interpretation, able to do programs for automatic inspection with Optical Vision Systems and CMMs. plus. Able to use Profilometers and special Microscopes for visual characteristics with other measuring tools and instruments.
Knowledgeable with AS9102 FAIR (First Article Inspection Report) documentation and Inspection.
Familiar with AQL, sampling methods and traceability.
Strong verbal/written communication skills required for multi-faceted interactions with all levels of personnel within the organization, as well as any and all outside agents, including but not limited to; vendors, suppliers, customers, etc.
Strong computer literacy, with MS Office/PC expertise and demonstrated experience with applicable systems, programs, equipment, etc.
Must be a US Citizen.

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Quality Assurance Technician M/F

Safran

New York, NY 10025

$25-$30/hr

~ 30 min OnsiteUrgently Hiring

Minimum of 2yrs experience in quality assurance or related role, preferably in electronics manufacturing
Familiarity with quality management systems and tools (ISO9001)
Experience in documentation and reporting on Quality Metrics
Associate Degree
More than 3 years
ITAR Controlled Position: Yes

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Principal Engineer - Python API Development

Fidelity Investments

Harrison, NJ 07029

~ 7 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.