370 Network Engineer Utilities jobs in Wharton,NJ

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Manufacturing Engineer

Whippany Actuation Systems

Whippany, NJ 07981

$90,000-$110,000/yr

~ 20 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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HyCO Production and Low-Carbon Technology Engineer

Matheson Tri-Gas

Warren, NJ 07059

$70,000-$120,000/yr

~ 41 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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Manufacturing Engineer

Coherent

Budd Lake, NJ 07828

~ 12 min Onsite

BS in Manufacturing Engineering, Mechanical Engineering, Industrial Engineering, Materials Science, Optical Engineering, or other relevant technical degree.
5+ years' experience in manufacturing engineering, process engineering, industrial engineering, or production operations within a precision manufacturing environment.
Demonstrated experience reducing manufacturing cost through cycle time reduction, yield improvement, labor efficiency, material utilization, scrap reduction, and routing accuracy.
Practical knowledge of Lean Manufacturing, Six Sigma, SPC, DOE, FMEA/PFMEA, process capability, root cause analysis, and corrective action methods.
Experience developing and maintaining manufacturing documentation including routers, travelers, work instructions, BOMs, process flows, standard labor assumptions, and control plans.
Working knowledge of automation, robotics, machine integration, data acquisition, and manufacturing systems used to improve process repeatability and throughput.
Proficiency with Microsoft Office tools and data analysis/reporting platforms; ability to interpret ERP/MRP, production, quality, and cost data to drive action.
Experience supporting optical, crystal, ceramic, sapphire, YVO4, or other precision component manufacturing processes.
Hands-on experience implementing automation, robotics, vision systems, AI-enabled analytics, or machine learning tools in a manufacturing environment.
Lean Six Sigma Green Belt/Black Belt, SME, ASQ, or equivalent continuous improvement certification.
Experience building cost models, capacity models, labor standards, OEE/throughput dashboards, or variance reduction scorecards.
Strong cross-functional leadership skills with ability to influence Operations, Quality, Planning, Engineering, Supply Chain, and Finance without direct authority.
Excellent problem-solving, communication, organization, and follow-through skills with a bias toward measurable business results.
Ability to regularly walk throughout manufacturing, assembly, test, coating, polishing, and warehouse areas.
Ability to stand for extended periods (up to 4-8 hours per day) while supporting production activities, process observations, and troubleshooting efforts.
Ability to occasionally lift and carry materials, tooling, fixtures, and equipment weighing up to 25 pounds.
Ability to bend, stoop, reach, kneel, and climb ladders or step stools as required to support manufacturing equipment and process improvements.
Ability to use standard office equipment, including computers, monitors, and engineering software for extended periods.
Ability to perform detailed visual inspections and review technical data, drawings, procedures, and manufacturing documentation.
Ability to work in cleanroom, laboratory, and manufacturing environments while wearing required personal protective equipment (PPE), including safety glasses, gloves, smocks, and protective footwear.
Ability to support manufacturing activities in environments that may include moving machinery, vibration, noise, and exposure to chemicals used in optical manufacturing processes while following established safety procedures.
Ability to occasionally work flexible hours to support production needs, equipment installations, process qualifications, and continuous improvement initiatives.
Ability to work in cleanroom, laboratory, and manufacturing environments while wearing required PPE, including safety glasses, gloves, smocks, and protective footwear.

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Account Executive, Business Team Sales

T-Mobile

Parsippany, NJ 07054

~ 17 min OnsiteUrgently HiringChildcare AssistanceEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

High School Diploma/GED (Required)
1+ years verifiable new customer acquisition sales experience, preferably within a commissioned environment. (Preferred)
Outside B2B sales experience. (Preferred)
Task Management Ability to work well in a dynamic, fast changing environment that requires a high degree of multi-tasking. (Required)
Customer Service Demonstrated experience delivering superior customer service and attention to detail. (Required)
Communication Excellent interpersonal, written, and oral communication skills. (Required)
Negotiation Effective negotiating and closing skills, including communication, emotional intelligence, and problem-solving. (Required)
At least 18 years of age
Legally authorized to work in the United States

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Production Worker (NDT Utility Worker Weekend Nights shift)

Howmet Aerospace

Dover, NJ 07801

~ 7 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

High School Diploma or GED from an accredited institution
Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.
This position entails access to export-controlled items and employment offers are conditioned upon an applicant's ability to lawfully obtain access to such items.
No relocation benefit is offered for this position. Candidates residing within a 50 miles radius of Dover NJ will only be considered.
Must be able to work flexible hours including night and weekends with little advanced notice
Basic Math Skills - Add/Subtract/Multiply/Divide
Intermediate Computer Skills
Must be able to read, write, and speak English

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Principal Engineer - Python API Development

Fidelity Investments

Newark, NJ 07175

~ 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.

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Optical Manufacturing Engineering Sr Manager

Coherent

Budd Lake, NJ 07828

~ 12 min Onsite

Masters in manufacturing engineering or equivalent, including in experience with optics and material engineering
Typically requires a minimum of 15 years of related experience with a Bachelor's degree; or 12 years and a Master's degree; or a PhD with 9 years experience; or equivalent experience
Knowledge of fabrication and polishing of the optical components
Knowledge of crystal fabrication
Proven experience as optician for various crystal processing procedures
SolidWorks design and simulations skills
Hands on experience in optical shop
CNC programming
Utilizing microscopes, interferometers, and laser measurement setup
Proven experience in OneNote, Microsoft Office, Oracle, or similar software
Six Sigma, C-Lean, and 5S knowledge

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Chief Systems Engineer

L3 Harris

Clifton, NJ 07011

~ 33 min OnsiteBilingual PreferredEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's Degree with a minimum of 12 years of prior related experience.
Graduate Degree with a minimum of 10 years of prior related experience.
In lieu of a degree, minimum of 16 years of prior related experience.
2 years of experience in Cameo and SysML v1
3 years experience with Agile development and using JIRA
Active Secret Security Clearance- Ability to obtain and maintain any additional clearances as required.

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Senior Buyer Planner, Procurement

PNY Technologies

Parsippany, NJ 07054

~ 17 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

8+ years of combined experience in procurement, buyer/planner, materials planning, supply planning, supply chain operations, or related roles.
Hands-on experience with ERP/MRP systems, purchase order management, RFQs, supplier coordination, inventory analysis, and production or materials planning.
Proven experience managing suppliers and/or contract manufacturers, including delivery performance, pricing, lead times, quality, and issue resolution.
Advanced Microsoft Excel skills required; experience with Word, Outlook, and PowerPoint required.
Bachelor's degree in Business, Supply Chain, Operations, or a related field preferred; equivalent experience will also be considered.
Power BI experience is a plus.
Experience working in a manufacturing, technology, electronics, hardware, consumer products, or contract manufacturing environment strongly preferred.
Familiarity with consignment inventory and VMI models preferred.

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