1067 Apex Structural Engineering Llc jobs in New Jersey

Senior Mechanical Engineer ( PE Licensed ) ( Hybrid )

Pts Data Center Solutions

Oakland, NJ 07436

$145,000-$190,000/yr

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Engineer I, Controls

Medical Manufacturing Technologies LLC

Pennsauken, NJ 08110

$134,599/yr

OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

PLC design and programming proficiency
Mitsubishi Ladder Programming (FX3/FX5) or equivalent experience with Beckhoff, Fanuc, Siemens, or Allen Bradley systems
HMI design and development experience
Strong skills in automation and robot programming
Education: A Bachelor's degree in Electrical, Mechanical, Computer, or Controls Engineering is preferred. However, candidates with a degree in a related field or equivalent hands-on experience in controls and automation will also be considered. Verification of education may be requested; candidates should be prepared to provide a degree or transcripts.
Experience: 1+ years of hands-on experience in product design and development within an automated manufacturing environment.
Physical Requirements: This role requires frequent standing, walking, sitting, and use of hands and fingers. Occasional climbing, bending, and lifting up to 25 pounds may be required.

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Mechanical Designer

Lockheed Martin

Moorestown, NJ 08057

HybridUrgently HiringFlexible ScheduleEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Graduated from an Associate program in Mechanical Design/Drafting or related field and/or equivalent professional experience
Knowledge of ASME Y14.5 standards and experience in 2D and 3D drafting checking and verification
Experience in 2D and 3D CAD design
This position requires a government security clearance, you must be a US Citizen for consideration.
Clearance Level: Secret

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26-00046J Construction Project Manager- Repairs and Alternations

MBA CSi

Jersey City, NJ 07097

$70,000-$90,000/yr

New, Posted 19 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.

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Sr Design Engineer with Security Clearance

Associates Systems LLC

Springfield, NJ 07081

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Sr. FPGA Design Engineer with Security Clearance

Encode

Camden, NJ 08101

Flexible Schedule

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Nuclear Engineer

U.S. Navy

Woodbury, NJ 08096

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Quality Engineer

DC Fabricators

Florence, NJ 08518

OnsiteUrgently HiringFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in Engineering
Industrial or Mechanical Engineering preferred
2-5 years of experience in a heavy industrial or manufacturing environment preferred
Strong understanding of quality engineering principles and their application to manufacturing processes
Ability to identify quality issues in pre-production and recommend effective solutions
Strong analytical and problem-solving skills with the ability to perform statistical analysis
Ability to work collaboratively in a cross-functional team environment
Strong written and verbal communication skills
Excellent computer skills including working knowledge of ERP systems and Microsoft applications such as Word, Excel, and Outlook

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