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Optimization Engineer Jobs in New Jersey (NOW HIRING)

Verisk

Cloud FinOps Engineer

Jersey City, NJ · Hybrid

$58.25 - $77.75/hr

You will support our customers through cost optimization initiatives while building your technical knowledge under the guidance of senior engineers. Purpose of the role * Support the identification ...

QCi

Software Engineer, Quantum Algorithms (Optimization) Location: Hoboken, NJ Division: Technology Department: Engineering About Us Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative ...

QCi

Senior Engineer, Quantum Algorithms

Hoboken, NJ · On-site

Software Engineer, Quantum Algorithms (Optimization) Location: Hoboken, NJ Division: Technology Department: Engineering About Us Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative ...

Apex Informatics

System Engineer

Secaucus, NJ · On-site

System Engineer Location: Secaucus, NJ(Remote) Duration: 12+ Months Summary: We are seeking a ... This includes proactive monitoring, alerting, and optimization of the VMware environment and ...

fpcusa

Staff Engineer

Livingston, NJ

This position focuses on driving operational excellence through systems design, process optimization, supply chain logistics, maintenance and reliability engineering, and economic analysis. In ...

GRIT STAFFING

Manufacturing Engineer

Passaic, NJ

$75K - $97K/yr

The Manufacturing Engineer is responsible for analyzing, developing, and improving manufacturing ... Understanding manufacturing processes, equipment reliability, and production optimization.

Verisk

Cloud FinOps Engineer

Jersey City, NJ · On-site

$75K - $105K/yr

You will support our customers through cost optimization initiatives while building your technical knowledge under the guidance of senior engineers. Purpose of the role * Support the identification ...

CAYS Inc

Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

... Engineer with 8+ years of hands-on experience in enterprise data engineering, including deep ... This role is critical to building, operating, and optimizing scalable data pipelines that support ...

Highbrow LLC

Performance Engineer

Morris Plains, NJ · On-site

$90 - $120/hr

Performance Engineer Job ID: 2024-13228 Job Location: Morris Plains, NJ (100% onsite) Job Travel ... Identify bottlenecks early and recommend optimization of resource utilization. * Design, implement ...

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All JobsOptimization Engineer JobsOptimization Engineer Jobs in New Jersey

Optimization Engineer information

See New Jersey salary details

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How much do optimization engineer jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for optimization engineer in New Jersey is $60.56, according to ZipRecruiter salary data. Most workers in this role earn between $43.94 and $74.66 per hour, depending on experience, location, and employer.

What is the difference between Optimization Engineer vs Data Analyst?

AspectOptimization EngineerData Analyst
Required CredentialsBachelor's in Engineering, Mathematics, or related field; often certifications in optimization or data analysisBachelor's in Statistics, Mathematics, or related field; certifications in data analysis tools
Work EnvironmentEngineering teams, manufacturing, logistics, or software developmentBusiness, finance, marketing, or healthcare sectors
Employer & Industry UsageManufacturing, tech, logistics, supply chainFinance, marketing, healthcare, consulting

Optimization Engineers focus on improving processes and systems through mathematical modeling and algorithms, often working in technical environments. Data Analysts interpret data to support business decisions, typically working with data visualization and reporting tools. While both roles analyze data, Optimization Engineers emphasize process optimization, whereas Data Analysts focus on insights and reporting.

What is an optimization engineer?

Optimization Engineers are professionals who analyze, design, and implement solutions to improve the efficiency, performance, and cost-effectiveness of systems, processes, or products. They use mathematical models, data analysis, and simulation tools to identify areas for improvement and develop strategies to achieve optimal results. These engineers work across various industries, including manufacturing, technology, energy, and logistics, to help organizations maximize output while minimizing resources and waste.

What are the key skills and qualifications needed to thrive as an optimization engineer, and why are they important?

To thrive as an Optimization Engineer, you need a solid background in mathematics, data analysis, and engineering principles, often supported by a degree in engineering, mathematics, or a related field. Familiarity with optimization software (such as Gurobi, CPLEX, or MATLAB), programming languages like Python, and data modeling tools is typically required. Strong problem-solving skills, attention to detail, and effective communication make candidates stand out in this role. These skills and qualities are crucial for developing efficient solutions, collaborating with cross-functional teams, and driving continuous improvement in complex systems.

What does an Optimization Engineer do?

An Optimization Engineer analyzes and improves processes, systems, or algorithms to increase efficiency, performance, and cost-effectiveness. They often use data analysis, modeling, and tools like MATLAB or Python to identify areas for enhancement and implement solutions in engineering, manufacturing, or software environments.

How does an optimization engineer typically collaborate with other departments to implement solutions?

Optimization Engineers often work closely with cross-functional teams such as production, operations, and data analysis. They collaborate by gathering input on current processes, identifying bottlenecks, and proposing data-driven improvements. Regular meetings and clear communication are crucial to ensure that proposed optimizations are practical and align with business goals. By involving stakeholders from various departments, Optimization Engineers help facilitate smoother implementation and ensure that solutions are sustainable and well-integrated.

What is optimization engineering?

The job duties of an optimization engineer focus on taking an existing design and improving making it stronger, fast, more efficient, or more durable. Career qualifications for an optimization engineer include a bachelor’s or master’s degree in engineering and years of field experience through internships or similar positions. Strong analytical and research skills are important for this job, as well as a strong background in advanced mathematics.

More about Optimization Engineer jobs
What are the most commonly searched types of Optimization Engineer jobs in New Jersey? The most popular types of Optimization Engineer jobs in New Jersey are:
What are popular job titles related to Optimization Engineer jobs in New Jersey? For Optimization Engineer jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Optimization Engineer jobs in New Jersey look for? The top searched job categories for Optimization Engineer jobs in New Jersey are:
What are popular job titles related to Optimization Engineer jobs in NJ? For Optimization Engineer jobs in NJ, the most frequently searched job titles are:
Optimization Engineer jobs near you
Infographic showing various Optimization Engineer job openings in New Jersey as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $125,957 per year, or $60.6 per hour.

Head of Engineering Transformation & AI Automation

Itcharm

Union, NJ • On-site

$130 - $160/hr

Other

Posted 6 days ago

Job description

Head of Engineering Transformation & AI Automation

Job details

ID

Copy ID

Location

EU

Cooperation

B2B

Just refi bonus

Seniority levels

Senior

Languages

Skills

AI optimization

LLM

We are a technology company. Our primary market is the USA. We build and evolve tech solutions for complex, regulated, and operationally intensive business domains where speed, quality, security, process maturity, and the ability to adapt quickly truly matter.

We are currently at a scaling stage. Our goal is to turn strategy into systematic execution, improve operational efficiency, strengthen the People function, develop the employer brand, and drive a natural process transformation — from a predominantly human‑driven model to a hybrid operations model where people and AI tools work together, and AI operations are continuously improved, measured, and embedded into the company's daily work.

Your role is to lead the company’s AI transformation, accelerate development, implement scalable automation, and improve the efficiency of the engineering organization.

Goal: AI becomes a natural, integral part of how the company operates — not a separate experiment.

Key Responsibilities

1. Strategy & Engineering Process Transformation
  • Develop and implement an AI transformation strategy focused on real business impact.
  • Identify processes (including HR, operations, knowledge management, reporting, internal communications) where AI delivers measurable benefits.
  • Gradually transform operational processes into a hybrid human + AI model.
  • Implement and improve engineering practices and development processes using AI.
  • Enhance the efficiency of the entire software development lifecycle (SDLC).
  • Establish unified development standards and an engineering culture.
  • Manage changes within the engineering function.
2. AI Infrastructure & Automation
  • Develop secure internal AI infrastructure and tools.
  • Implement automation systems and productivity management platforms.
  • Unify information flows and knowledge storage systems.
  • Support the deployment of language models and AI solutions for internal processes.
  • Ensure governance to prevent chaotic and unsafe use of AI.
3. Working with Engineering Teams & Related Functions
  • Collaborate with heads of engineering and related departments (HR, operations, etc.).
  • Increase the speed and efficiency of task execution.
  • Standardize development processes and team interactions.
  • Support the adoption of new processes without losing efficiency.
  • Facilitate the integration of AI tools across various company functions.
  • Foster a culture of continuous improvement where AI is part of operational maturity, not a toy.
  • Train employees to work with AI tools.
  • Establish an approach where AI operations are continuously improved.
  • Evaluate the effectiveness of AI initiatives through speed, cost, quality, and safety.

Requirements

Technical & Managerial Experience

  • 7+ years in senior engineering roles or AI transformation.
  • Experience managing engineering teams and collaborating with technical leads.
  • Strong technical background (development, infrastructure, AI).
  • Experience managing complex cross‑functional projects.

AI & Automation

  • Proven cases of AI and automation implementation.
  • Experience with AI tools, LLMs, and internal platforms.
  • Experience optimizing engineering processes through automation.

Transformation & Change Management

  • Successful implementation of organizational changes.
  • Experience standardizing engineering processes.
  • Ability to manage team resistance.
  • Influencing skills without authoritarian management.

Project & Stakeholder Management

  • Ability to build collaboration between engineering, business, and operational units.
  • Experience working in fast‑paced environments and growing companies.
  • Ability to balance strategy with attention to detail.

Nice to Have

  • Consulting or transformation background.
  • Platform engineering / Dev Productivity / AI infrastructure.
  • Building internal AI ecosystems.
  • Advanced English proficiency.

Personal Attributes

  • Proactive and highly self‑directed.
  • Focused on measurable business results, not just technology.
  • Empathy and excellent communication skills.
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