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Medical Device Embedded Software Engineer Jobs in Gainesville, FL

Lead Software Engineer Department: Information Technology Employment Type: Full Time Location ... Experience in a regulated industry such as medical device or life sciences. Preferred. * Experience ...

New

The Lead Software Engineer will build software solutions that address key business needs across ... Experience in a regulated industry such as medical device or life sciences. Preferred. * Experience ...

New

Design Engineer, Packaging

Gainesville, FL ยท On-site

$80 - $110/hr

Manager, End of Line Engineering Description Design and development of medical device packaging or ... Must have knowledge of various software packages including Microsoft Office applications. Knowledge ...

Design Engineer, Packaging

Gainesville, FL ยท On-site

$122K/yr

Manager, End of Line Engineering Description Design and development of medical device packaging or ... Must have knowledge of various software packages including Microsoft Office applications. Knowledge ...

Design Engineer, Packaging

Gainesville, FL ยท On-site

$123K/yr

Design and development of medical device packaging or sterilization cases. Includes qualification ... Must have knowledge of various software packages including Microsoft Office applications. Knowledge ...

Senior Quality Engineer, Validation

Gainesville, FL ยท On-site

$80K - $108K/yr

... medical device processes, materials, equipment and methods including project management, process ... Leads or participates in the validation of corporate software packages ensuring adherence to ...

Intern - Eng Test Lab

Gainesville, FL ยท On-site

$15.25 - $19.75/hr

Apply engineering acumen to evaluate impact of revisions to technical standards on medical device ... Computer aided design software * Motivated to take initiative and work effectively in teams

Intern - Eng Test Lab

Gainesville, FL ยท On-site

$15 - $19.50/hr

Apply engineering acumen to evaluate impact of revisions to technical standards on medical device ... Computer aided design software * Motivated to take initiative and work effectively in teams

Job Summary of the Engineer II, Quality Complaint Management This position reports to the Manager ... medical device industry required with a minimum of one year of experience working with medical ...

Intern - Eng Test Lab

Gainesville, FL ยท On-site

$20.66/hr

Apply engineering acumen to evaluate impact of revisions to technical standards on medical device ... Computer aided design software * Motivated to take initiative and work effectively in teams

The Manager, Quality Engineering, provides leadership to the Quality Engineering team by inspiring ... Minimum of 7 years experience, preferably in orthopedic or other medical device field. * Working ...

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Medical Device Embedded Software Engineer information

See Gainesville, FL salary details

$63.4K

$139K

$157.6K

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

As of Sep 3, 2026, the average yearly pay for medical device embedded software engineer in Gainesville, FL is $138,966.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $156,700.00 per year, depending on experience, location, and employer.

What is a medical device embedded software engineer?

Medical Device Embedded Software Engineers are professionals who design, develop, and maintain the specialized software that runs on hardware inside medical devices, such as pacemakers, infusion pumps, and imaging machines. They ensure that the software meets strict regulatory standards for safety, reliability, and performance. Their work involves programming, testing, debugging, and documenting embedded code, as well as collaborating with hardware engineers and regulatory teams to bring safe and effective medical products to market.

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

To thrive as a Medical Device Embedded Software Engineer, you need a strong background in embedded systems design, C/C++ programming, and a degree in electrical engineering, computer engineering, or a related field. Familiarity with real-time operating systems (RTOS), hardware-software integration, and industry standards like IEC 62304 or FDA regulations is typically required. Attention to detail, strong problem-solving abilities, and effective teamwork are vital soft skills for this role. These competencies are crucial for developing reliable, safe, and compliant software that meets stringent healthcare requirements.

What are some common challenges faced by medical device embedded software engineers when working on cross-functional teams?

Medical Device Embedded Software Engineers often collaborate closely with hardware engineers, regulatory specialists, and quality assurance teams. A common challenge is ensuring that software requirements align with hardware limitations and regulatory standards, which can necessitate frequent adjustments and clear documentation. Additionally, balancing the pace of software development with the rigorous testing and validation processes required for medical devices can be demanding. Effective communication and adaptability are essential to navigate these multidisciplinary interactions and deliver safe, compliant products.

What is the difference between Medical Device Embedded Software Engineer vs Firmware Engineer?

AspectMedical Device Embedded Software EngineerFirmware Engineer
CredentialsBachelor's in Electrical, Computer Engineering, or related; often certifications in medical device standardsBachelor's in Electrical, Computer Engineering, or related; certifications vary by industry
Work EnvironmentMedical device companies, regulated environments, quality assurance focusConsumer electronics, industrial, or embedded systems companies
Industry UsagePrimarily in healthcare, medical device manufacturingBroader tech sectors, including consumer electronics and industrial systems
Search & Comparison IntentHigh overlap in embedded systems, safety standards, and certification requirements

The Medical Device Embedded Software Engineer and Firmware Engineer roles share core skills in embedded systems development. However, the Medical Device Embedded Software Engineer focuses specifically on medical device safety, regulatory compliance, and working within healthcare environments. Firmware Engineers may work across various industries without the strict medical standards, making the Medical Device Embedded Software Engineer role more specialized in healthcare applications.

What are popular job titles related to Medical Device Embedded Software Engineer jobs in Gainesville, FL?

For Medical Device Embedded Software Engineer jobs in Gainesville, FL, the most frequently searched job titles are:

What job categories do people searching Medical Device Embedded Software Engineer jobs in Gainesville, FL look for?

The top searched job categories for Medical Device Embedded Software Engineer jobs in Gainesville, FL are:

What cities near Gainesville, FL are hiring for Medical Device Embedded Software Engineer jobs?

Cities near Gainesville, FL with the most Medical Device Embedded Software Engineer job openings:

Lead Software Engineer

Advita Ortho

Gainesville, FL โ€ข On-site

Full-time

Posted 3 days ago

New


Job description

Lead Software Engineer
Department: Information Technology
Employment Type: Full Time
Location: Gainesville, FL
Reporting To: Senior Director Software Engineering
Description
The Lead Software Engineer will build software solutions that address key business needs across Advita's global organization using large language models and AI principles. This role will collaborate with functional teams to define business requirements, identify appropriate opportunities for enhanced tools and AI, and design, build, and deploy solutions.
The role is responsible for setting technical direction, writing production code, and supporting solutions after they go live.
Key Responsibilities
  • Collaborate with functional teams across any area of the business to understand their requirements, define the problem to be solved, and co-develop the solution.
  • Assess where a large language model is the right tool and where conventional software or a data solution serves the business better.
  • Design and build retrieval-augmented generation (RAG) solutions, including embedding, vector search, and orchestration, and select the models and services behind them.
  • Build evaluation and monitoring that gates each release and tracks quality and cost once solutions are in service.
  • Design for auditability, working with quality and regulatory stakeholders so that solutions hold up under inspection.
  • Build the integrations and data pipelines that these solutions depend upon, working against enterprise systems of record.
  • Own cloud architecture, cost management, security, and access control on Azure.
  • Partner with the enterprise applications team so that these solutions reach the people who need them.

Skills Knowledge and Expertise
Education:
  • Bachelor's degree in Computer Science, Engineering, a quantitative field, or equivalent practical experience.

Experience:
  • 5+ years building and shipping production software.
  • Experience delivering production applications built on large language models, including retrieval-augmented generation (RAG), prompt and context design, and evaluation.
  • Experience integrating with enterprise systems of record and working with the data they hold.
  • Experience building and deploying machine learning models on proprietary data. Preferred.
  • Experience in a regulated industry such as medical device or life sciences. Preferred.
  • Experience with document-heavy and unstructured data problems, including extraction, classification, and coding. Preferred.

Functional/Technical Knowledge, Skills and Abilities Required:
  • Python, Node.js, and TypeScript.
  • Hands-on experience with vector databases and embedding models.
  • Hands-on experience on Azure, including Azure AI Foundry, along with data services, compute, identity, and networking.
  • Judgment about when a large language model is the right solution and when it is not.
  • Cost consciousness - weighing model, token, and infrastructure cost as part of the design, and keeping it under control once a solution is running.
  • Written and verbal communication skills - ability to present potential solutions, pros and cons to senior stakeholders.
  • Collaborative mindset with ability to work directly with stakeholders across the business.
  • Able to run several efforts at once without dropping quality.
  • Project management: scoping, sequencing, estimating, and reporting progress against commitments.