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Process Automation Engineer Jobs in New Jersey (NOW HIRING)

Amazon

Senior Automation Engineer

Logan Township, NJ · On-site

$99K - $130K/yr

... of process or production environment related PLC-controlled automation and issue diagnosis ... programming experience - 4+ years of electrical theory, robotics, controls components, and ...

Amazon

Senior Automation Engineer

Lawrence Township, NJ · On-site

$115K - $151K/yr

... of process or production environment related PLC-controlled automation and issue diagnosis ... programming experience - 4+ years of electrical theory, robotics, controls components, and ...

Med-Metrix

Senior Director, RPA

Parsippany, NJ · On-site

Recruit, develop, and retain a team of RPA developers, coordinators, and business analysts * Set clear performance expectations, conduct regular reviews, and support career development planning

GenScript/ProBio

Automation Engineer, GMP

Pennington, NJ · On-site

The Automation Engineer is responsible for administration and management of the site's automation ... Recommend and integrate new bioprocess equipment and Process Analytical Technologies (PAT). Liaison ...

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All JobsProcess Automation Engineer JobsProcess Automation Engineer Jobs in New Jersey

Process Automation Engineer information

See New Jersey salary details

$51.3K

$109.6K

$175.1K

How much do process automation engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for process automation engineer in New Jersey is $109,562.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,800.00 and $132,500.00 per year, depending on experience, location, and employer.

What does a process automation engineer do?

A Process Automation Engineer designs, implements, and maintains automated systems used in manufacturing or industrial processes. They work to improve efficiency, quality, and safety by integrating technology such as robotics, control systems, and software into production lines. Their responsibilities often include analyzing current processes, identifying areas for automation, programming controllers, and troubleshooting issues. Additionally, they collaborate with other engineers and technicians to optimize workflows and ensure smooth operation of automated systems.

What is the difference between Process Automation Engineer vs Control Systems Engineer?

AspectProcess Automation EngineerControl Systems Engineer
CredentialsBachelor's in Engineering, certifications like PLC or SCADABachelor's in Electrical, Mechanical, or Control Engineering, similar certifications
Work EnvironmentIndustrial plants, manufacturing facilities, automation projectsDesign and testing of control systems, industrial automation settings
Industry UsageManufacturing, oil & gas, pharmaceuticalsManufacturing, energy, automation industries
Job FocusDeveloping and maintaining automation processesDesigning and implementing control systems hardware/software

Process Automation Engineers and Control Systems Engineers often share similar credentials and work environments, focusing on automation within industrial settings. While Process Automation Engineers primarily develop and optimize automation processes, Control Systems Engineers concentrate on designing and implementing control hardware and software. Both roles are essential in manufacturing and energy sectors, with overlapping skills but distinct focuses.

What are the key skills and qualifications needed to thrive as a process automation engineer, and why are they important?

To thrive as a Process Automation Engineer, you need a solid background in engineering, process control, and automation principles, usually backed by a degree in electrical, mechanical, or chemical engineering. Familiarity with PLCs, SCADA systems, programming languages (such as ladder logic and Python), and relevant certifications like ISA CAP are typically required. Strong analytical thinking, problem-solving skills, and effective communication help you collaborate with cross-functional teams and drive process improvements. These skills are crucial for designing reliable automation solutions that enhance efficiency, safety, and productivity in manufacturing environments.

What are some common challenges process automation engineers face when implementing new automation solutions?

Process Automation Engineers often encounter challenges such as integrating new automation systems with legacy equipment, ensuring minimal downtime during implementation, and managing resistance to change from operational staff. Additionally, troubleshooting unforeseen issues during testing and commissioning phases requires strong problem-solving skills. Working closely with cross-functional teams, including IT, operations, and maintenance, is crucial to address these challenges effectively and ensure successful automation rollouts.
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What job categories do people searching Process Automation Engineer jobs in New Jersey look for? The top searched job categories for Process Automation Engineer jobs in New Jersey are:
What are popular job titles related to Process Automation Engineer jobs in NJ? For Process Automation Engineer jobs in NJ, the most frequently searched job titles are:
Process Automation Engineer jobs near you
Infographic showing various Process Automation Engineer job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, 4% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $109,562 per year, or $52.7 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Newark, NJ • Remote

Full-time

Re-posted 18 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply