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Remote Defense Contractor Software Engineer Jobs in Arab, AL

Frontier Technology Inc.

AI/ML Engineer

Huntsville, AL · On-site +1

Overview FTI Defense is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced ... Collaborate with data engineers, software developers, and mission analysts to ensure AI models are ...

Frontier Technology Inc.

AI/ML Engineer

Huntsville, AL · Remote

Overview FTI Defense is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced ... Collaborate with data engineers, software developers, and mission analysts to ensure AI models are ...

Frontier Technology Inc.

AI/ML Engineer

Huntsville, AL · Remote

FTI Defense is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced machine ... Collaborate with data engineers, software developers, and mission analysts to ensure AI models are ...

Frontier Technology Inc.

AI/ML Engineer

Huntsville, AL · Remote

Overview FTI Defense is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced ... Collaborate with data engineers, software developers, and mission analysts to ensure AI models are ...

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All JobsRemote Defense Contractor Software Engineer JobsRemote Defense Contractor Software Engineer Jobs in Arab, AL

Remote Defense Contractor Software Engineer information

See Arab, AL salary details

$57.5K

$133.5K

$186K

How much do remote defense contractor software engineer jobs pay per year?

As of Jul 6, 2026, the average yearly pay for remote defense contractor software engineer in Arab, AL is $133,525.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,600.00 and $156,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Defense Contractor Software Engineer, and why are they important?

To excel as a Remote Defense Contractor Software Engineer, you typically need a strong background in computer science or engineering, proficiency in programming languages like C++ or Java, and active security clearance. Familiarity with secure coding practices, embedded systems, and tools such as Git, Jira, and specialized defense software development environments is crucial. Excellent problem-solving, communication, and self-motivation are standout soft skills for remote collaboration and meeting strict project requirements. These competencies ensure secure, reliable software delivery and effective teamwork in sensitive, mission-critical defense projects.

Does Lockheed Martin hire remote workers?

Lockheed Martin, including roles like Remote Defense Contractor Software Engineer, primarily hires for on-site positions, but some roles may offer remote or hybrid work options depending on the project and department. Candidates should review specific job postings for remote work availability and requirements such as security clearances and specialized skills.

What is the difference between Remote Defense Contractor Software Engineer vs Remote Cybersecurity Software Engineer?

AspectRemote Defense Contractor Software EngineerRemote Cybersecurity Software Engineer
Required CredentialsBachelor's in CS or related, security clearances often preferredBachelor's in CS, Cybersecurity, or related; certifications like CISSP beneficial
Work EnvironmentDefense contractors, government projects, secure facilitiesTech companies, security firms, government agencies
Employer & Industry UsagePrimarily defense and military sectorsPrimarily cybersecurity and IT sectors
Common Search & ComparisonOften compared for security clearance and defense projectsCompared for network security and threat mitigation roles

The Remote Defense Contractor Software Engineer typically works on defense and military projects requiring security clearances, while the Remote Cybersecurity Software Engineer focuses on protecting networks and systems from cyber threats. Both roles require strong technical skills, but their industries and project types differ significantly.

What engineers make $300,000 a year?

Senior defense contractor software engineers, especially those with expertise in cybersecurity, embedded systems, or specialized defense technologies, can earn $300,000 or more annually. High salaries are often associated with extensive experience, advanced certifications, and working in high-security or classified environments.

How does a Remote Defense Contractor Software Engineer typically collaborate with team members and stakeholders given security and communication constraints?

Remote Defense Contractor Software Engineers often work with multidisciplinary teams, including developers, project managers, and cybersecurity specialists. Collaboration is facilitated through secure, government-approved communication platforms and version control systems that comply with strict security protocols. Regular virtual meetings and documentation are essential to ensure alignment on project requirements and updates. While remote work offers flexibility, engineers must be diligent in following procedures for handling sensitive information and may sometimes need to access secure facilities for classified work. Effective communication and adaptability are key to overcoming the challenges of working in a highly regulated, remote environment.

What is a Remote Defense Contractor Software Engineer?

A Remote Defense Contractor Software Engineer is a software developer who works for a company contracted by government defense agencies to build, maintain, or secure software systems, but does their work from a remote location instead of a traditional office or on-site facility. These engineers often develop applications for military or national security use, which can include communication systems, cybersecurity tools, or mission-critical platforms. Due to the sensitive nature of their work, they may require special security clearances and must adhere to strict security protocols even while working remotely.

What engineer makes $500,000 a year?

A remote defense contractor software engineer with extensive experience, specialized skills in cybersecurity or defense systems, and often security clearances can earn $500,000 or more annually. Such high salaries typically reflect seniority, leadership roles, or involvement in highly sensitive projects within the defense industry.

How much do CIA software engineers make?

CIA software engineers typically earn salaries comparable to federal government pay scales, often ranging from $80,000 to over $150,000 annually depending on experience, education, and security clearance level. Compensation may also include benefits such as health insurance, retirement plans, and bonuses for specialized skills like cybersecurity or cryptography.
What job categories do people searching Remote Defense Contractor Software Engineer jobs in Arab, AL look for? The top searched job categories for Remote Defense Contractor Software Engineer jobs in Arab, AL are:
What cities near Arab, AL are hiring for Remote Defense Contractor Software Engineer jobs? Cities near Arab, AL with the most Remote Defense Contractor Software Engineer job openings:
Remote Defense Contractor Software Engineer jobs near you
AI/ML Engineer

AI/ML Engineer

Frontier Technology Inc.

Huntsville, AL • On-site, Remote

Full-time

Posted 21 days 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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