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Embedded Software Engineer

Berkeley Heights,NJ

1859 Embedded Software Engineer jobs in Berkeley Heights,NJ

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Test Engineering Assistant - C4ISR

BAE Systems

Wayne, NJ 07470

~ 45 min OnsiteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

  • High School Diploma plus 4 years of related experience.
  • Experience testing and troubleshooting systems, modules, and/or sub-assemblies.
  • Strong understanding of basic electronics and ability to work with common test equipment.
  • Ability to read and follow engineering procedures, wiring diagrams, and system configuration instructions.
  • Must currently possess active U.S. DoD Secret security clearance.
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Senior Mechanical Engineer - HVAC

Artheon

Dayton, NJ 08810

~ 55 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in Mechanical Engineering or a related field
  • 8+ years of mechanical engineering experience
  • Strong experience designing HVAC systems
  • Experience using AutoCAD and/or Revit
  • Working knowledge of ASHRAE, NFPA, and applicable building codes
  • Experience providing construction administration and field engineering support
  • Experience with plumbing and fire protection system design
  • Experience working on municipal, institutional, educational, or infrastructure projects
  • Ability to manage multiple projects and coordinate effectively with clients, contractors, and internal teams
  • New Jersey Professional Engineer license preferred or ability to obtain through reciprocity
  • Strong communication, organization, and problem-solving skills
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Industrial Sales Engineer (Power Generation Equipment)

Kinsley Group

Newark, NJ 07102

Flexible Schedule
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Manufacturing Engineer (Machine Shop- 2nd Shift)

Whippany Actuation Systems

Whippany, NJ 07981

$97,000-$118,000/yr
~ 29 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • A bachelor's degree in manufacturing, Aerospace, or Mechanical Engineering from an accredited university or college
  • 3 years' engineering experience working in a high technology manufacturing environment
  • Previous experience and/or knowledgeable with precision machining and CNC programming
  • Authorization to work in the US
  • This role is restricted to U.S. persons (i.e., U.S. citizens, permanent residents, and other protected individuals under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3)) due to access to export-controlled technology
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BCG Platinion | Lead AI Tech Architect

Boston Consulting Group

Summit, NJ 07901

~ 15 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in information technology, business administration, computer science, information systems, or system controls & engineering or a related field (Master's degree is a plus)
  • 6+ years of technology consulting or software engineering experience with more than 3+ years in architecture discipline
  • Gen AI tool fluency (e.g., proven usage of GenAI such as ChatGPT, Claude) and validation of response
  • Willingness to travel to work with clients and BCG teams. At times, this role involves significant travel to client sites. The amount of travel will depend on client needs and nature of projects.
  • Ability to explain complex technology topics to senior executives
  • Extensive technical expertise and knowledge along multiple of the following topics: Cloud technologies, architectures, designing cloud workloads and optimizing cloud footprint (i.e., FinOps); Integration methodologies, design patterns and associated tooling (API and Microservices architecture); Structured and unstructured databases and usage patterns; Data platform architecture and associated patterns (e.g. Data Lake, Data Warehouse, Lakehouse, etc.); Data analytics, AI and GenAI architecture; Application modernization, programming paradigms and approaches (e.g. object-oriented); Mainframe architecture; Process automation approaches and tooling (e.g. DevOps, AIOps); An agile mindset that moves past blockers and a vision to iteratively migrate to the modern set of architecture capabilities with a lens of business benefits/value
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Manufacturing Engineering Tech II

Marotta Controls

Montville, NJ 07045

$35-$44/hr
~ 36 min OnsiteFlexible ScheduleEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • 5 years of related experience in a machine shop manufacturing environment
  • 2 years of Gibbs and/or Mastercam & PRO-E usage
  • High School or (GED) Diploma
  • Must be a US Citizen
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Electronic Warfare, Systems Engineering Lead

L3 Harris

Clifton, NJ 07011

~ 34 min OnsiteBilingual PreferredEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's Degree and minimum 9 years of prior relevant experience
  • Graduate Degree and a minimum of 7 years of prior related experience
  • In lieu of a degree, minimum of 13 years of prior related experience
  • 9 years of experience in systems engineering for radar, RF, or sensor systems
  • Ability to obtain secret clearance
  • 10%-20% travel
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Manufacturing Engineer

Coherent

Budd Lake, NJ 07828

~ 44 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.
SmartExplore AI is experimental.
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