2

Remote Electrical Power Engineer Jobs in Manchester, NH

AI Enablement Engineer

Chelmsford, MA ยท On-site +1

$105K - $142K/yr

Evaluate and apply AI tools that improve engineering efficiency across mechanical, electrical, and ... Work arrangements may include a mix of in-office and remote work, depending on the nature of the ...

We complement our extensive line of Motive Power and Energy Systems with a full range of integrated ... Job Purpose The Application Security Engineer is responsible for strengthening the security of our ...

We complement our extensive line of Motive Power and Energy Systems with a full range of integrated ... Remote * Tuesday-Thursday: Onsite at our Reading, PA location Candidates outside the Reading, PA ...

DevOps Manager (Azure)

Hooksett, NH ยท On-site +1

$52.25 - $71.50/hr

Merchants Fleet Headquarters in Hooksett, NH or Remote (East Coast preferred) What You'll Do As our ... Build CI/CD for Azure Data Factory, Snowflake, Power BI, and database deployments * Advance ...

Thermal Analyst

Nashua, NH ยท On-site +1

... remote programs. The position offers the opportunity to work with advanced technologies ... Collaborate closely with mechanical, electrical, optical, and other engineering disciplines to ...

Showing results 21-40

Remote Electrical Power Engineer information

See Manchester, NH salary details

$50.3K

$110.6K

$167.3K

How much do remote electrical power engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for remote electrical power engineer in Manchester, NH is $110,610.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,600.00 and $131,400.00 per year, depending on experience, location, and employer.

What is the difference between Remote Electrical Power Engineer vs Remote Electrical Design Engineer?

AspectRemote Electrical Power EngineerRemote Electrical Design Engineer
CertificationsPE License, IEEE certificationsPE License, IEEE certifications
Work EnvironmentPower plants, substations, energy companiesBuilding systems, infrastructure projects
Industry UsagePower generation, transmission, distributionConstruction, architecture, manufacturing
Job FocusElectrical power systems, grid stabilityElectrical system design, schematics

The main difference is that Remote Electrical Power Engineers focus on power systems, grid stability, and energy infrastructure, while Remote Electrical Design Engineers concentrate on designing electrical systems for buildings and infrastructure. Both roles require similar certifications and often work within the electrical engineering industry, but their project focus and work environments differ.

How does working remotely as an electrical power engineer affect collaboration and project communication?

As a remote Electrical Power Engineer, you will typically use digital collaboration tools like video conferencing, project management software, and shared design platforms to communicate with your team and clients. While you may not be onsite, regular virtual meetings and clear documentation are essential to ensure alignment on project requirements and timelines. Effective communication skills become even more important, as you will often coordinate with multidisciplinary teams across different locations. Adapting to remote workflows can be challenging at first, but many organizations provide robust support systems to help remote engineers stay connected and productive.

What is a remote electrical power engineer?

Remote Electrical Power Engineers are professionals who design, analyze, and oversee electrical power systems, such as those used for energy generation, transmission, and distribution, while working from a remote location. They use advanced software tools to create and evaluate power system models, ensure compliance with safety and industry standards, and troubleshoot technical issues. Their work often involves collaborating with on-site teams, utilities, or clients through digital communication to ensure reliable and efficient delivery of electrical power. This role is ideal for engineers who have strong technical skills and are comfortable working independently in a virtual environment.

What skills and qualifications are needed to thrive as a remote electrical power engineer?

To thrive as a Remote Electrical Power Engineer, you need a strong background in electrical engineering principles, power systems analysis, and typically a relevant degree such as a B.S. in Electrical Engineering. Familiarity with technical tools like AutoCAD, ETAP, and SCADA systems, as well as professional engineering (PE) certification, is often required. Excellent problem-solving, communication, and self-motivation are crucial soft skills for collaborating across locations and managing projects remotely. These skills ensure the reliable design, monitoring, and optimization of power systems while effectively working with distributed teams.
What are the most commonly searched types of Electrical Power Engineer jobs in Manchester, NH? The most popular types of Electrical Power Engineer jobs in Manchester, NH are:
What are popular job titles related to Remote Electrical Power Engineer jobs in Manchester, NH? For Remote Electrical Power Engineer jobs in Manchester, NH, the most frequently searched job titles are:

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Manchester, NH โ€ข 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

โ€‹

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:

  • Bachelorโ€™s or Masterโ€™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.