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Remote Biomedical Engineer Jobs in Alabama (NOW HIRING)

It takes the imagination and passion of all of us-from design and engineering to the manufacturing ... Ability to work independently in a remote environment while maintaining strong team connectivity.

Degree in Computer Science, Software Engineering, Information Systems, Meteorology, Atmospheric Science, Remote Sensing or a related technical field from an ABET-accredited university. * Bachelor ...

Sr. AI/ML Engineer

Georgiana, AL ยท Remote

$80K - $110K/yr

About the Role We are seeking a Senior AI/ML Engineer to lead the development of core machine ... Remote: fully * Location: State of Sรฃo Paulo, San Josรฉ, Santo Domingo, Buenos Aires, Santiago ...

GN&C Sr Engineer

Huntsville, AL ยท On-site +1

$103K - $141K/yr

Must also be able to work collaboratively with other team members both locally and remote at other ... Programming in other languages such as Simscape Multi-body. * Experience with creating animations ...

Degree in Earth Science, Atmospheric Science, Meteorology, Computer Science, Software Engineering, Information Systems, Remote Sensing or a related technical field from an ABET-accredited university ...

$33 - $37/hr

Provide Field, Technical, and customer service to Aria Filtra products and processes. This is a technical position that requires the ability to safely perform hands on work, process optimization, and ...

Job Summary We are seeking a Systems Engineer II with at least four years of experience to provide engineering support across technical projects, applying established engineering principles to design ...

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Showing results 1-20

Remote Biomedical Engineer information

See Alabama salary details

$37.2K

$85.9K

$126.9K

How much do remote biomedical engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for remote biomedical engineer in Alabama is $85,932.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $105,100.00 per year, depending on experience, location, and employer.

What are the main challenges faced by remote biomedical engineers, and how can they be addressed?

Remote biomedical engineers often encounter challenges such as limited hands-on access to equipment, coordinating with geographically dispersed teams, and ensuring effective communication with stakeholders. To address these, engineers rely on virtual collaboration platforms, detailed documentation processes, and proactive engagement with both technical and non-technical colleagues. It's important to develop strong time-management habits and seek regular feedback to stay aligned with project goals. As remote work becomes more common, employers are increasingly providing advanced digital tools and resources to help remote biomedical engineers stay productive and connected.

What is a Remote Biomedical Engineer job?

A Remote Biomedical Engineer designs, develops, and maintains medical devices and healthcare technology while working from a remote location. They collaborate with healthcare professionals, manufacturers, and research teams to ensure the safety and efficiency of biomedical equipment. Responsibilities may include troubleshooting medical devices, conducting virtual testing, and ensuring regulatory compliance. Remote Biomedical Engineers use digital tools to analyze data, provide technical support, and contribute to advancements in healthcare technology. This role requires strong problem-solving skills, technical expertise, and effective communication to work with cross-functional teams remotely.

What are the key skills and qualifications needed to thrive in the Remote Biomedical Engineer position, and why are they important?

To thrive as a Remote Biomedical Engineer, you need a degree in biomedical engineering or a related field along with solid analytical, problem-solving, and project management skills. Familiarity with CAD software, medical device regulations (such as FDA or ISO standards), and experience with remote collaboration tools are highly beneficial. Excellent written and verbal communication, self-motivation, and adaptability are critical soft skills for working effectively without direct supervision. These abilities enable successful design, troubleshooting, and support of biomedical devices while collaborating remotely across multidisciplinary teams and meeting regulatory requirements.

What are the most commonly searched types of Biomedical Engineer jobs in Alabama? The most popular types of Biomedical Engineer jobs in Alabama are:
What cities in Alabama are hiring for Remote Biomedical Engineer jobs? Cities in Alabama with the most Remote Biomedical Engineer job openings:
AI/ML Software Engineer

AI/ML Software Engineer

Frontier Technology Inc.

Huntsville, AL โ€ข On-site, Remote

Full-time

Re-posted 27 days ago


Job description

Overview
FTI Defense is seeking an AI/ML Software Engineer to design, build, and deploy secure, scalable software and data systems that support mission operations, analytics, and simulation environments. This role is for a hands-on engineer and someone who loves writing code, building systems end-to-end, and solving real-world technical challenges in secure, distributed environments.
FTI Defense delivers mission-focused solutions to the Department of Defense (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges by integrating people, process, and technology.
Responsibilities
Software Design & Development
  • Design and implement APIs, data pipelines, and simulation runtime logic that connect and enable mission applications.
  • Develop software using modern programming languages such as Java, Python, C++, or TypeScript/Angular.
  • Write clean, testable, and maintainable code following secure coding and software engineering best practices.
  • Build and integrate modular microservices to improve scalability, maintainability, and interoperability.

Cloud & Containerized Environments
  • Build and deploy containerized, cloud-native services using Docker, Kubernetes, and CI/CD pipelines (GitLab, Jenkins, or equivalent).
  • Implement Infrastructure-as-Code and automation scripts to accelerate deployment and configuration management.
  • Contribute to secure deployments across hybrid or disconnected environments (IL4-IL6, AWS GovCloud, or on-prem).

Systems Integration & Distributed Computing
  • Develop distributed systems and data integration frameworks using message buses such as Kafka or Redis.
  • Engineer data flow between analytic, AI, and simulation components to support real-time mission use cases.
  • Collaborate with system engineers and architects to ensure interoperability across software ecosystems.

Data & Analytics Integration
  • Build and manage databases (PostgreSQL, MongoDB, graph DBs) and model complex data relationships.
  • Develop data services that feed analytics pipelines or integrate AI/ML outputs into runtime systems.
  • Work with serialization and exchange formats such as JSON, Protobuf, GeoJSON, or KML.

Security, Testing & Sustainment
  • Write, test, and deploy software within secure or classified environments.
  • Automate testing and monitoring to ensure performance, reliability, and repeatable deployments.
  • Support the transition of prototypes to operational systems, focusing on maintainability and observability.

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 software engineering experience.
  • 3+ years of professional experience with DevSecOps, Zero-Trust, or ATO/RMF processes in Department of Defense (DoD/DoW) environments.
  • Strong full-stack or systems engineering background.
  • Proficiency in one or more of the following languages: Java, Python, C++, or TypeScript/Angular.
  • Experience building containerized, cloud-native solutions using Docker, Kubernetes, and CI/CD pipelines.
  • Complete understanding of distributed systems and message buses (Kafka, Redis, etc.).
  • Experience developing or integrating analytics and AI models into production systems.

Preferred Qualifications:
  • Experience deploying code in IL4-IL6 or edge/disconnected environments.
  • Familiarity with databases such as PostgreSQL, MongoDB, or graph databases.
  • Knowledge of Infrastructure-as-Code (Terraform, CloudFormation, or CDK).
  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
  • Active Secret clearance preferred; ability to obtain one is required.

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