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Remote Solar Performance Engineer Jobs in Washington, NC

Where Your Purpose Accelerates Our Mission As a Senior Remote Upgrade Engineer within Baxter Care ... Your work will support healthcare facilities as they adopt new technologies, enhance performance ...

iOS Engineer -Remote

Greenville, NC · Remote

$61.63 - $88.47/hr

High attention to detail in all aspects of development from performance to UI * A desire to work in ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

Software Engineer

Washington, NC · On-site +1

$79K - $142K/yr

Active Full-Time Remote Employment: Flexible/Hybrid Job Number: 05426 Department: Information ... Monitor application performance and resolve technical issues while maintaining system reliability ...

Remote Solar Performance Engineer information

See Washington, NC salary details

$9

$52

$85

How much do remote solar performance engineer jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for remote solar performance engineer in Washington, NC is $52.24, according to ZipRecruiter salary data. Most workers in this role earn between $42.84 and $59.13 per hour, depending on experience, location, and employer.

What is a remote solar performance engineer?

A Remote Solar Performance Engineer is a professional who monitors, analyzes, and optimizes the performance of solar power systems from a remote location. They use specialized software and tools to track energy production, identify issues, and recommend improvements for solar installations. Their work helps ensure that solar energy systems operate efficiently and meet performance goals, often collaborating with on-site technicians and project managers. This role is crucial for maintaining the reliability and profitability of solar power assets, especially in geographically dispersed installations.

What are the key skills and qualifications needed to thrive as a remote solar performance engineer?

To thrive as a Remote Solar Performance Engineer, you need a solid grounding in electrical or mechanical engineering, solar PV systems, and data analysis, typically backed by a relevant engineering degree. Proficiency with solar monitoring software, SCADA systems, and data analytics platforms, as well as certifications like NABCEP, is often required. Strong problem-solving skills, attention to detail, and effective remote communication set top performers apart in this role. These competencies ensure accurate performance analysis, timely issue resolution, and optimized energy output for solar installations.

Are remote solar performance engineers in demand?

Remote solar performance engineers are in growing demand as the solar industry expands and emphasizes remote monitoring, data analysis, and system optimization. Skills in data analytics, PV system performance, and familiarity with monitoring tools increase employability in this field.

How does a remote solar performance engineer typically collaborate with on-site teams to resolve system issues?

Remote Solar Performance Engineers play a critical role in diagnosing and troubleshooting performance issues by analyzing data from monitoring systems. They often collaborate closely with on-site technicians and field engineers via virtual meetings, detailed reports, and real-time communication tools. When a performance anomaly is detected, the remote engineer pinpoints the issue and provides actionable recommendations, ensuring on-site teams can address problems efficiently. This collaborative structure helps maximize system uptime and maintain optimal energy output.

What is the difference between Remote Solar Performance Engineer vs Remote Solar Design Engineer?

AspectRemote Solar Performance EngineerRemote Solar Design Engineer
Primary FocusOptimizing solar system performance, analyzing data, troubleshooting issuesCreating system layouts, designing solar panel configurations, selecting components
Required SkillsData analysis, performance monitoring, electrical knowledgeDesign software proficiency, electrical and mechanical design skills
Work EnvironmentField data analysis, remote monitoring, collaboration with installation teamsOffice-based design work, remote collaboration with engineers and clients
CertificationsPV installation certifications, electrical certifications often preferredDesign certifications like NABCEP Designer, CAD proficiency

The Remote Solar Performance Engineer focuses on analyzing and improving the efficiency of existing solar systems through data analysis and troubleshooting. In contrast, the Remote Solar Design Engineer specializes in designing new solar systems, creating layouts, and selecting components. Both roles require technical knowledge and certifications, but their core responsibilities differ in system optimization versus system design.

What job categories do people searching Remote Solar Performance Engineer jobs in Washington, NC look for? The top searched job categories for Remote Solar Performance Engineer jobs in Washington, NC are:
What cities near Washington, NC are hiring for Remote Solar Performance Engineer jobs? Cities near Washington, NC with the most Remote Solar Performance Engineer job openings:
Infographic showing various Remote Solar Performance Engineer job openings in Washington, NC as of June 2026, with employment types broken down into 23% Full Time, 57% Part Time, and 20% Contract. Highlights an 42% Physical, 2% Hybrid, and 56% Remote job distribution, with an average salary of $108,657 per year, or $52.2 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Greenville, NC • Remote

Full-time

Re-posted 14 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.