1130 Accessibility Test Engineer jobs in Newark,NJ

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AI Systems Lab- Test Engineering Technician

Advanced Micro Devices - Secaucus, NJ

AI Systems Lab- Test Engineering Technician

~ 19 min Onsite

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Technician - Assembly/Test

Kearfott Corporation

Pine Brook, NJ 07058

$22-$36/hr

~ 23 min OnsiteEducation 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

SmartExplore AI is experimental.

New, Posted 1 day ago

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Senior Test Engineering Technician - AI Data Center Systems (Servers & GPUs)

Advanced Micro Devices

Secaucus, NJ 07094

~ 19 min Onsite

Associate degree in computer science, computer engineering, Information technology or equivalent experience preferred.
CompTIA A+ or equivalent experience.
CompTIA Server+ or equivalent experience.
Windows OS experience.

SmartExplore AI is experimental.

New, Posted 10 hours ago

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Principal Engineer - Python API Development

Fidelity Investments

Newark, NJ 07175

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.

SmartExplore AI is experimental.

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Fire Alarm Technician

Specialized Fire & Security

Riverdale, NJ 07457

~ 38 min OnsiteUrgently HiringHealth InsurancePaid Time Off

Associates degree in Electronics or related field or equivalent experience in the installation and maintenance of low voltage electronic systems
Fluent In English
Must be legally authorized to live within the United States
Must be legally authorized to work within the United States
Must be a legal citizen of the United States
A minimum of 3 years experience in the installation and maintenance of Fire Safety Products
NICET Certification Requirements – Level I
Must have valid state drivers license and good driving record
Ability to lift seventy-five (75) pounds unassisted
Ability to work on a lift up to 40 feet
Knowledge of safety regulations and procedures
Knowledge of Siemens Fire Alarm Equipment is a plus

SmartExplore AI is experimental.

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Photonic Assembly and Test Technician

CACI International Inc

Florham Park, NJ 07932

~ 30 min Onsite

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

SmartExplore AI is experimental.

New, Posted 10 hours ago

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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.