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Home Based Medical Device Software Engineer Jobs in Mobile, AL

Cabin Engineer III

Mobile, AL · On-site

$120 - $160/hr

Health & Welfare: Comprehensive insurance coverage including medical (traditional and high ... Expert proficiency in 2D/3D CAD software alongside working knowledge of scripting tools (Python ...

Arcadis is looking for a Civil Engineer to be based out of our Mobile, Alabama office. The ... Other software that would be preferred includes scheduling software (MS Project or P6), MS Office ...

FPGA Engineer

Mobile, AL

$110K - $142K/yr

Implement embedded software-based testing solutions where applicable to validate FPGA designs ... Collaborate with other engineers to develop and maintain system-level architecture. Troubleshooting ...

Civil Engineer

Mobile, AL · On-site

$78K - $112K/yr

Arcadis is looking for a Civil Engineer to be based out of our Mobile, Alabama office. The ... Other software that would be preferred includes scheduling software (MS Project or P6), MS Office ...

Civil Engineer

Mobile, AL · On-site

$78 - $112/hr

Role Description Arcadis is looking for a Civil Engineer to be based out of our Mobile, Alabama ... Other software that would be preferred includes scheduling software (MS Project or P6), MS Office ...

Branch Engineer

Mobile, AL · On-site

$81K - $109K/yr

... based selling, strategic account focus, and job costing optimization. * Software Proficiency ... Benefits Package including medical, dental, vision, short & long-term disability * Paid Time Off ...

Branch Engineer

Mobile, AL · On-site

$110 - $140/hr

... based selling, strategic account focus, and job costing optimization. * Software Proficiency ... Benefits Package including medical, dental, vision, short & long-term disability * Paid Time Off ...

Branch Engineer

Mobile, AL · On-site

$81K - $109K/yr

... based selling, strategic account focus, and job costing optimization. * Software Proficiency ... Benefits Package including medical, dental, vision, short & long-term disability * Paid Time Off ...

Proficient in Microsoft Office and CRM software. * Ability to work flexible hours, including ... AdamsHomes.com Adams Homes is an Equal Opportunity Employer and does not discriminate based on race ...

Proficient in Microsoft Office and CRM software. * Ability to work flexible hours, including ... AdamsHomes.com Adams Homes is an Equal Opportunity Employer and does not discriminate based on race ...

Proficient in Microsoft Office and CRM software. * Ability to work flexible hours, including ... AdamsHomes.com Adams Homes is an Equal Opportunity Employer and does not discriminate based on race ...

Showing results 41-60

Home Based Medical Device Software Engineer information

See Mobile, AL salary details

$63K

$146.4K

$203.9K

How much do home based medical device software engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for home based medical device software engineer in Mobile, AL is $146,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $171,700.00 per year, depending on experience, location, and employer.

What does a home based medical device software engineer do?

A Home Based Medical Device Software Engineer is responsible for designing, developing, testing, and maintaining software used in medical devices, all while working remotely. They ensure that the software complies with regulatory standards for safety and efficacy, often collaborating with cross-functional teams such as hardware engineers and regulatory specialists. Their work helps create software for devices like pacemakers, insulin pumps, or diagnostic equipment, ultimately improving patient care. Remote work enables flexibility, but also requires strong communication skills and a reliable home office setup.

What are the key skills and qualifications needed to thrive as a home based medical device software engineer, and why are they important?

To excel as a Home Based Medical Device Software Engineer, you need strong programming skills (often in C/C++ or Python), a background in software engineering or computer science, and knowledge of medical device regulations such as IEC 62304. Familiarity with version control systems (like Git), embedded systems development tools, and experience with quality management systems are typically required, along with certifications in medical device software or related fields. Excellent problem-solving, attention to detail, and effective remote communication are standout soft skills for this role. These competencies are vital for developing safe, compliant, and reliable medical device software while collaborating efficiently from a remote environment.

How does a home based medical device software engineer typically collaborate with cross-functional teams while working remotely?

As a Home Based Medical Device Software Engineer, collaboration with cross-functional teams is primarily achieved through virtual meetings, project management tools, and regular status updates. You’ll often work closely with QA specialists, regulatory affairs, hardware engineers, and clinical teams to ensure that the software meets safety and compliance standards. Effective communication and proactive engagement are essential, especially when troubleshooting issues or implementing new features. Most companies provide robust collaboration platforms and clear communication protocols to help remote engineers stay integrated with the broader team.

What is the difference between Home Based Medical Device Software Engineer vs Medical Device Quality Assurance Specialist?

AspectHome Based Medical Device Software EngineerMedical Device Quality Assurance Specialist
CredentialsBachelor's in Software Engineering, Biomedical Engineering, or related field; certifications like CSTE or ISTQB beneficialBachelor's in Life Sciences, Quality Assurance, or related; certifications like CQE or ISO auditor preferred
Work EnvironmentRemote or home-based, collaborating with development teamsOn-site or remote, focusing on compliance and quality processes
Industry UsageDesigning and testing software for medical devicesEnsuring medical device manufacturing and software meet quality standards

While both roles support medical device development, the Home Based Medical Device Software Engineer focuses on software design and testing remotely, whereas the Medical Device Quality Assurance Specialist emphasizes compliance and quality assurance processes, often on-site or in regulated environments.

Infographic showing various Home Based Medical Device Software Engineer job openings in Mobile, AL as of August 2026, with employment types broken down into 70% Full Time, and 30% Part Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $146,391 per year, or $70.4 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Mobile, AL • Remote

Full-time

Re-posted 16 days ago


Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.