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Remote Computer Chip Engineer Jobs in Alabama (NOW HIRING)

US or Canada Remote Responsibilities * Lead architecture and delivery for major ML platform ... Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent ...

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)

Lead VDC Engineer

Montgomery, AL · On-site +1

$158.30K - $165.20K/yr

Multiple locations may be listed, but this position is not hybrid or remote--it is a fulltime ... Computer software - Microsoft Office Suite, specifically Excel-based templates, and Autodesk Suite ...

This role is fully remote-friendly, with team members distributed across the US and Canada ... Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent ...

This is a remote opportunity. Why Tetra Tech: At Tetra Tech, we are Leading with Science to solve ... Regularly required to sit and work at a computer for extended periods; occasional standing and ...

Posting Type Hybrid/Remote Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Bachelor's degree in Computer Science or a related field, or equivalent practical experience

Remote Support (approximately 20-40% - varied, based on business need) consists of supporting ... Strong computer skills: Internet navigation, word processing, spreadsheets, and Daktronics internal ...

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Remote Computer Chip Engineer information

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

To thrive as a Remote Computer Chip Engineer, you need a strong background in electrical engineering, digital/analog circuit design, and semiconductor fundamentals, typically supported by a relevant degree. Familiarity with CAD tools like Cadence or Synopsys, experience with HDL languages (such as Verilog or VHDL), and knowledge of simulation and verification systems are essential. Excellent problem-solving, self-motivation, and effective remote communication skills set top engineers apart in virtual teams. These competencies ensure high-quality chip development, efficient collaboration, and successful project delivery in a remote work environment.

What are some common challenges faced by Remote Computer Chip Engineers, and how can they be addressed?

Remote Computer Chip Engineers often face challenges related to effective collaboration, particularly when working across different time zones or with team members in various locations. Communication about design updates, debugging, and hardware testing can require extra coordination. To address these issues, teams typically use robust project management tools, regular video meetings, and clear documentation practices. Establishing strong communication channels and proactively sharing progress help ensure everyone stays aligned and projects move forward efficiently.

What does a Remote Computer Chip Engineer do?

A Remote Computer Chip Engineer designs, develops, tests, and optimizes microchips and integrated circuits while working from a remote location. They use specialized software tools to create blueprints, simulate chip behavior, and collaborate with other engineers online. Their work is crucial in developing faster, more efficient processors and electronic devices. By working remotely, they leverage digital communication and project management tools to coordinate with teams around the world.
What are popular job titles related to Remote Computer Chip Engineer jobs in Alabama? For Remote Computer Chip Engineer jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Remote Computer Chip Engineer jobs in Alabama look for? The top searched job categories for Remote Computer Chip Engineer jobs in Alabama are:
What cities in Alabama are hiring for Remote Computer Chip Engineer jobs? Cities in Alabama with the most Remote Computer Chip Engineer job openings:
Infographic showing various Remote Computer Chip Engineer job openings in Alabama as of May 2026, with employment types broken down into 5% As Needed, 38% Full Time, 37% Part Time, and 20% Contract. Highlights an 37% Physical, 3% Hybrid, and 60% Remote job distribution.
AI/ML Engineer

$140K - $220K/yr

Full-time

Posted 10 days ago


Job description

Overview

Frontier Technology Inc. (FTI) 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 delivers mission-focused solutions to the Department of Defense/Department 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 secruity 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.

For this role, the compensation range is $140k-$220k.

*Note: Starting pay will be based on a number of factors and commensurate with the candidate's residence location, qualifications & experience.

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Employment Type: FULL_TIME