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Remote Solar Engineer Jobs in Virginia (NOW HIRING)

Hitachi

Electrical Engineer

South Boston, VA · On-site +1

Engineering & Science Job Schedule: Full time Remote: No The opportunity Hitachi Energy is seeking a motivated Electrical Design Engineer to join our Power Transformer Engineering team in South ...

CannonDesign

Electrical Engineer III

Arlington, VA · On-site +1

$88K - $110K/yr

This role is remote within the U.S., with a preference for candidates located in or near: Arlington ... May assume project engineering responsibilities and adhere to financial and work goals. * Initiate ...

Anika Systems

AI Engineer

Leesburg, VA · On-site +1

This position is currently remote; however, in accordance with federal contract requirements and ... Engineers own work end-to-end including data, model integration, services, UI, infrastructure ...

Intelligent Waves LLC

Products Engineer

Reston, VA · On-site +1

The Products Engineer will play a key role in developing and implementing scalable on-premises and ... This position is 100% remote with travel. Travel: Ability to travel up to 30% of the time and will ...

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Remote Solar Engineer information

See Virginia salary details

$48.6K

$102.1K

$161.1K

How much do remote solar engineer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for remote solar engineer in Virginia is $102,071.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $140,300.00 per year, depending on experience, location, and employer.

What is a Remote Solar Engineer job?

A Remote Solar Engineer is a professional who designs, analyzes, and optimizes solar energy systems while working remotely. They use software tools to create system layouts, perform energy production simulations, and ensure compliance with regulations. Their responsibilities may also include collaborating with project teams, assisting in permitting processes, and providing technical support. Remote Solar Engineers often work for solar companies, engineering firms, or as freelancers. Their role is crucial in advancing renewable energy solutions while offering flexibility in work location.

What are the key skills and qualifications needed to thrive in the Remote Solar Engineer position, and why are they important?

To thrive as a Remote Solar Engineer, you need a solid background in electrical or mechanical engineering, solar energy system design, and project management, typically supported by a relevant engineering degree. Familiarity with software such as AutoCAD, PVsyst, and Helioscope, along with certifications like NABCEP, is highly valuable. Outstanding problem-solving abilities, strong communication skills, and self-motivation are essential soft skills in a remote context. These skills and qualifications enable you to effectively design, analyze, and optimize solar projects, while ensuring efficient collaboration and project delivery from a remote environment.

What are some common challenges faced by Remote Solar Engineers and how are they typically addressed?

Remote Solar Engineers often face challenges such as coordinating with on-site teams across different locations and navigating time zone differences. Effective communication through digital tools, regular virtual meetings, and clear documentation are crucial strategies to mitigate these issues. Additionally, staying updated with the latest industry standards and remote monitoring technologies helps ensure system accuracy and project success. Proactively engaging with team members and adopting collaborative project management platforms can further enhance efficiency and project outcomes.

What are the most commonly searched types of Solar Engineer jobs in Virginia? The most popular types of Solar Engineer jobs in Virginia are:
What are popular job titles related to Remote Solar Engineer jobs in Virginia? For Remote Solar Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Solar Engineer jobs in Virginia look for? The top searched job categories for Remote Solar Engineer jobs in Virginia are:
What cities in Virginia are hiring for Remote Solar Engineer jobs? Cities in Virginia with the most Remote Solar Engineer job openings:
Remote Solar Engineer jobs near you
AI/ML Engineer

AI/ML Engineer

Frontier Technology Inc.

Chesapeake, VA • Remote

Full-time

Posted 8 days ago

Job description

FTI Defense is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced machine learning solutions supporting defense and national security missions. This role focuses on execution in oversight, ideal for an engineer who thrives in the code, enjoys building end-to-end pipelines, and takes pride in seeing their work directly impact operational systems.

FTI Defense delivers mission-focused solutions to the Department of Defense/Depratment of War (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges and achieve mission success by integrating people, process, and technology.


  • Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives.
  • Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain.
  • Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration).
  • Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval architectures (RAG, graph, hybrid).
  • Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and inference services.
  • Experiment with fine-tuning and optimization of LLMs and task-specific models (LoRA, QLoRA, PEFT).
  • Contribute to agent-based applications using frameworks like LangGraph, AutoGen, CrewAI, or DSPy.
  • Integrate AI services into real-world systems via APIs, event-driven workflows, or UI copilots.
  • Collaborate with data engineers, software developers, and mission analysts to ensure AI models are production-ready and aligned with customer needs.
  • Participate in peer reviews, contribute to shared repositories, and document models and experiments for reproducibility.

Minimum Requirements:

  • Must be a U.S. citizen and be willing to obtain and maintain a security clearance, as needed.
  • 6-10+ years of professional experience developing and deploying AI/ML solutions in production environments.
  • Minimum of 3 years' professional experience within the Department of Defense/Department of War (DoD/DoW) AI assurance, security, and deployment environments.
  • Strong Python development skills with hands-on experience building AI/ML solutions.
  • Direct experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or LangChain.
  • Proven ability to build and deploy MLOps pipelines using MLflow, Kubeflow, DVC, or equivalent.
  • Working knowledge of vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval-based architectures (RAG, hybrid, graph).
  • Professional experience fine-tuning and evaluating LLMs or smaller task-specific models using LoRA, QLoRA, or PEFT.
  • Professional experience integrating AI capabilities into production systems or mission applications.

 Preferred Qualifications:

  • Familiarity with agentic frameworks (LangGraph, AutoGen, CrewAI, DSPy) and multi-agent reasoning.
  • Understanding of prompt engineering, retrieval quality, and grounding methods.
  • Exposure to GPU-based or edge inference environments.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related technical field.
  • Active Secret clearance preferred; ability to obtain one is required.

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