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Audio Software Engineer Remote Jobs in Huntsville, AL

GuideTech LLC

GNC Engineer

Huntsville, AL · On-site +1

Remote, USA As a Modeling, Simulation, and GNC Engineer, you'll develop high-fidelity models ... Collaborate with aerodynamics, propulsion, software, systems engineering, and other cross ...

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All JobsAudio Software Engineer JobsAudio Software Engineer Remote JobsAudio Software Engineer Remote Jobs in Huntsville, AL

Audio Software Engineer Remote information

See Huntsville, AL salary details

$62.6K

$145.4K

$202.5K

How much do audio software engineer remote jobs pay per year?

As of Aug 11, 2026, the average yearly pay for audio software engineer remote in Huntsville, AL is $145,359.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,200.00 and $170,500.00 per year, depending on experience, location, and employer.

What skills and qualifications are needed to thrive as an audio software engineer?

To thrive as an Audio Software Engineer (Remote), you need a solid background in computer science, digital signal processing (DSP), and audio programming, often supported by a relevant degree and experience in C++ or similar languages. Familiarity with audio development frameworks (such as JUCE or VST), version control systems (e.g., Git), and sometimes certifications in audio engineering or software development are typically expected. Excellent problem-solving, communication, and self-management skills are essential for effective collaboration and productivity in a remote setting. Mastery of these technical and soft skills is crucial to deliver high-quality audio applications, meet project goals, and work efficiently as part of a distributed team.

How does an audio software engineer typically collaborate with cross-functional teams in a remote setting?

As a remote Audio Software Engineer, you’ll frequently collaborate with product managers, UX designers, and QA testers, often through virtual meetings and project management tools. Clear communication is essential, as you'll need to discuss technical requirements, share progress updates, and resolve integration challenges with other engineers. Regular code reviews, documentation, and participation in sprint planning are common to ensure everyone stays aligned. This collaborative approach not only drives innovation in audio features but also helps maintain a cohesive and efficient workflow, even when working remotely.

What is an audio software engineer?

An Audio Software Engineer (Remote) is a technology professional who specializes in designing, developing, and maintaining software related to audio processing, such as digital audio workstations, plugins, or sound synthesis tools, while working from a remote location. Their work often involves programming in languages like C++, Python, or JavaScript, and using audio frameworks such as JUCE or Core Audio. They collaborate with other engineers, sound designers, and product managers to create high-quality audio experiences for users. Remote audio software engineers leverage online communication tools to coordinate with teams across different locations.
What are the most commonly searched types of Audio Software Engineer jobs in Huntsville, AL? The most popular types of Audio Software Engineer jobs in Huntsville, AL are:
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Audio Software Engineer Remote jobs near you

AI/ML Engineer

Frontier Technology Inc.

Huntsville, AL • Remote

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

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.

#LI-KM1

#LI-Remote

Employment Type: FULL_TIME

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