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Remote Computer Hardware Engineer Jobs in Huntsville, AL

Frontier Technology Inc.

AI/ML Engineer

Huntsville, AL · On-site +1

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 . #LI-KM1 #LI-Remote

Frontier Technology Inc.

AI/ML Engineer

Huntsville, AL · Remote

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 . #LI-KM1 #LI-Remote ...

Frontier Technology Inc.

AI/ML Engineer

Huntsville, AL · Remote

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 . #LI-KM1 #LI-Remote ...

SAIC

Software Systems Engineer Manager

Huntsville, AL · On-site +1

$170K - $202K/yr

Secret Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Software Systems ... Bachelor's degree in software engineering, Systems Engineering, Computer Science, or related field ...

QBE LLC (Federal)

Cloud Solutions Engineer

Huntsville, AL · On-site +1

$55 - $73.50/hr

This position can be performed remote from anywhere, but may require up to 15% travel. As a skilled ... Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)

Summit 7 Systems

Infrastructure Engineer

AL · On-site +1

$70K/yr

Hardware management and deployment. * Other duties as assigned. Requirements Required * Security ... Administrative experience with Remote Monitoring and Management (RMM) tools. * Working knowledge of ...

Summit 7 Systems

Infrastructure Engineer

Huntsville, AL · Remote

$70K/yr

Hardware management and deployment. * Other duties as assigned. Requirements Required * Security ... Administrative experience with Remote Monitoring and Management (RMM) tools. * Working knowledge of ...

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All JobsComputer Hardware Engineer JobsRemote Computer Hardware Engineer JobsRemote Computer Hardware Engineer Jobs in Huntsville, AL

Remote Computer Hardware Engineer information

See Huntsville, AL salary details

$107.9K

$143.4K

$175.9K

How much do remote computer hardware engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for remote computer hardware engineer in Huntsville, AL is $143,364.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,200.00 and $168,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Computer Hardware Engineer, and why are they important?

To thrive as a Remote Computer Hardware Engineer, you need a solid background in electrical engineering, computer architecture, and hardware design, typically supported by a relevant bachelor's degree. Familiarity with CAD tools (such as Altium Designer or AutoCAD), hardware description languages (like VHDL or Verilog), and version control systems is essential. Strong analytical thinking, self-motivation, and effective virtual communication skills set outstanding engineers apart in remote environments. These abilities ensure efficient hardware development, seamless collaboration with distributed teams, and the successful delivery of high-quality products.

What does a Remote Computer Hardware Engineer do?

A Remote Computer Hardware Engineer designs, develops, tests, and oversees the production and installation of computer hardware components such as processors, circuit boards, memory devices, and networks, all while working from a remote location. They collaborate with software developers, troubleshoot hardware issues, and ensure that devices function efficiently and reliably. Remote engineers use digital communication and collaboration tools to work with teams and clients, making it possible to contribute to projects without being onsite. Their role is critical in advancing computing technology and supporting the infrastructure behind modern digital systems.

What is the difference between Remote Computer Hardware Engineer vs Remote Network Engineer?

AspectRemote Computer Hardware EngineerRemote Network Engineer
CredentialsBachelor's in Computer Engineering or related field, certifications like CompTIA A+ or Cisco CCNABachelor's in Computer Science or Networking, certifications like Cisco CCNA or CompTIA Network+
Work EnvironmentDesign, test, and troubleshoot hardware components remotely, often collaborating with manufacturing teamsDesign, implement, and maintain network infrastructure remotely, troubleshooting connectivity issues
Industry UsageElectronics manufacturing, hardware development companiesIT service providers, telecommunications, enterprise networks
Search & Comparison IntentUnderstanding hardware design roles vs network setup rolesDistinguishing between hardware design and network management jobs

Remote Computer Hardware Engineers focus on designing and testing physical components of computers remotely, while Remote Network Engineers manage and troubleshoot network systems. Both roles require technical certifications and often work in tech or manufacturing industries, but their core responsibilities differ significantly.

How do Remote Computer Hardware Engineers effectively collaborate with cross-functional teams despite working offsite?

Remote Computer Hardware Engineers often work closely with design, software, and testing teams using collaboration tools like video conferencing, shared repositories, and project management platforms. Regular virtual meetings and clear documentation are key to maintaining alignment and ensuring that hardware specifications meet project goals. While physical prototyping may require shipping components or coordinating with on-site staff, most design and troubleshooting tasks can be handled remotely with simulation software and remote desktop access. Building strong communication habits is essential to overcome the challenges of physical distance and keep projects on schedule.
What are popular job titles related to Remote Computer Hardware Engineer jobs in Huntsville, AL? For Remote Computer Hardware Engineer jobs in Huntsville, AL, the most frequently searched job titles are:
What job categories do people searching Remote Computer Hardware Engineer jobs in Huntsville, AL look for? The top searched job categories for Remote Computer Hardware Engineer jobs in Huntsville, AL are:
Remote Computer Hardware Engineer jobs near you
Infographic showing various Remote Computer Hardware Engineer job openings in Huntsville, AL as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 81% Physical, 1% Hybrid, and 18% Remote job distribution, with an average salary of $143,364 per year, or $68.9 per hour.
AI/ML Engineer

AI/ML Engineer

Frontier Technology Inc.

Huntsville, AL • On-site, Remote

Full-time

Re-posted 20 hours ago

Job description

Overview
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.
Responsibilities
  • 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.

Education/Qualifications
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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