628 General Engineer jobs in Bernardsville,NJ

New, Posted 19 hours ago

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Senior Vice President, Forward Deployed Engineer

BNY

New York, NY 10007

$104,000-$210,000/yr

Recommended

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Chief Engineer

Ace Hotel New York

New York, NY 10001

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Electronic Warfare, Systems Engineering Lead

L3 Harris

Clifton, NJ 07011

~ 44 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
Travel as needed to support program execution and customer engagement, including periodic travel to Amityville, NY - 25%
10%-20% travel
Background checks
Pre-employment substance abuse testing

SmartExplore AI is experimental.

New, Posted 4 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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Photonics manufacturing engineer

Coherent

Budd Lake, NJ 07828

~ 29 min Onsite

Bachelor's degree in Optical Engineering, Electrical Engineering, or a related field with 5+ years of experience, or a master's degree or higher.
Experience in manufacturing engineering, particularly with optical systems and components.
Experience working in a cleanroom environment.
Proficiency with CAD software (e.g., SolidWorks) and strong knowledge of manufacturing processes.
Experience with lasers, optical components, and related test equipment.

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Sr. Manufacturing Engineering Manager

Crane Company

Caldwell, NJ 07006

~ 36 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

8+ years of relevant experience demonstrating expertise in manufacturing engineering and process development.
Strong understanding of continuous improvement tools, raw materials, production processes, quality control, and cost optimization techniques.
Critical thinking, time management, decision-making, and excellent communication skills; ability to motivate and develop teams effectively.
Bachelor's degree in electrical, Electro-mechanical, Industrial, or Mechanical
Eligibility Requirement: This position may require access to Controlled Data or Information. Where the position requires such access only US Persons will be considered. As a US Department of Defense contractor, we are bound by International Traffic in Arms Regulations (ITAR).
Working conditions are normal for a manufacturing environment
Manufacturing operations may require the use of safety equipment to include but not limited to: eye safety glasses, gowning, masks, hearing protectors, heel/wrist straps and any other required PPE
May be exposed to unusual environmental conditions such as loud noises, cold temperatures, confined spaces, dust or fumes
Schedule will fluctuate depending on the needs of the business
Standing: up to 100% *percentage is approximate and may vary depending on work task
Sitting: up to 100% *percentage is approximate and may vary depending on work task
Lifting (in pounds): up to 25 pounds
Pushing (in pounds): up to 25 pounds
Mental/Visual: use of computer
Workspace (line, cube, etc):work bench

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New, Posted 1 day ago

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Principal Engineer - Python API Development

Fidelity Investments

Elizabeth, NJ 07202

~ 41 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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Associate or Senior Associate, Fixed Assets / Cost Segregation Engineer (AMCS)

KPMG

New York, NY 10025

~ 1 hr 0 min OnsiteHealth InsuranceRetirement Benefit

Bachelor's degree from an accredited college/university in engineering, architecture, construction management, or a closely related discipline is required
Minimumone year of recent experience in an engineering firm, corporation, or public accounting firm; background in cost segregation, fixed asset consulting, construction, engineering, or a related technical field is preferred
Understanding of construction processes and building systems, and how project costs translate into asset classifications
Basic knowledge of federal income tax depreciation principles and accounting for capital expenditures, or a demonstrated interest in developing this skillset
Experience reviewing technical drawings, construction documentation, or large project cost datasets
Strong proficiency in Excel (such as advanced formulas, pivot tables, lookups) and experience working with structured data from financial or operational systems; demonstrated experience or strong aptitude with data-wrangling/automation tools (such as Power Query, Alteryx), business intelligence tools (such as Power BI, Tableau), or query/scripting languages (such as SQL, Python, R)
Applicant must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

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New, Posted 7 hours ago

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

Capital One

New York, NY 10001

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Machinist / Toolmaker

ABB

Hackettstown, NJ 07840

$27.50-$31/hr

~ 29 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

High school diploma or equivalent.
3+ years of experience in a machining, tool room, or mold-making environment.
Proficiency in CNC and manual machining (lathes, mills, etc.)
Strong blueprint reading and GD&T; interpretation skills.
Ability to troubleshoot and repair tooling with minimal supervision.
Experience with precision measurement tools (micrometers, calipers, height gauges, etc.)
Understanding of material properties, heat treatment, and machining best practices.

SmartExplore AI is experimental.