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Medical Device Software Testing Jobs in Texas (NOW HIRING)

Experience in medical device software development * Familiarity with regulated software ... testing, protected veteran status, or any other characteristic protected by applicable federal ...

Senior Embedded Software Engineer

Irving, TX · On-site

$119K - $156K/yr

Production medical device software with strict quality and traceability needs Your Impact * Design ... Apply testdriven development and unit testing using frameworks such as Google Test * Contribute to ...

Senior Embedded Software Engineer

Irving, TX · On-site

$119K - $156K/yr

Production medical device software with strict quality and traceability needs Your Impact * Design ... Apply testdriven development and unit testing using frameworks such as Google Test * Contribute to ...

Senior Embedded Software Engineer

Irving, TX · On-site

$119K - $156K/yr

Production medical device software with strict quality and traceability needs Your Impact * Design ... Apply test-driven development and unit testing using frameworks such as Google Test * Contribute to ...

Quality Systems Engineer

Austin, TX · On-site

$71K - $119K/yr

You will build systems that eliminate ambiguity, reduce manual effort, and enable rapid and reliable development of regulated medical device software. These systems will support the full software ...

The ideal candidate will have experience with Selenium WebDriver, API testing, and SQL-based data ... medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as ...

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Showing results 1-20

Medical Device Software Testing information

What is the difference between Medical Device Software Testing vs Medical Device Quality Assurance?

AspectMedical Device Software TestingMedical Device Quality Assurance
CertificationsISTQB, CSTE, or similar testing certificationsISO 13485, CAPA, or quality management certifications
Work EnvironmentTesting labs, development teams, regulated environmentsQuality management systems, compliance departments
Employer & Industry UsageMedical device companies, software developersManufacturers, regulatory agencies, compliance firms
Search & Comparison IntentUnderstanding testing roles, skills, and responsibilitiesUnderstanding quality assurance processes, compliance standards

Medical Device Software Testing focuses on verifying and validating software functionalities to ensure safety and compliance. Medical Device Quality Assurance encompasses broader quality management practices, including process audits and compliance to standards. Both roles are essential in the medical device industry but serve different purposes in ensuring product safety and regulatory adherence.

What is medical device software testing?

Medical device software testing is the process of verifying and validating the software used in medical devices to ensure it is safe, reliable, and compliant with regulatory standards. This involves various testing methods, such as functional, performance, and usability testing, to identify and fix potential issues before the device is released to the market. Proper software testing helps prevent device failures that could harm patients and ensures that the device operates as intended under all expected conditions.

What are the key skills and qualifications needed to thrive as a Medical Device Software Tester, and why are they important?

To excel as a Medical Device Software Tester, you need a strong background in software testing methodologies, knowledge of regulatory standards like IEC 62304, and a degree in computer science or engineering. Familiarity with testing tools such as Selenium, Jira, and automated test frameworks, as well as experience with validation and verification documentation, is typically required. Attention to detail, analytical thinking, and effective communication are crucial soft skills that help testers identify issues and collaborate with cross-functional teams. These skills and qualifications are vital to ensure the safety, reliability, and compliance of medical device software in a highly regulated industry.

What are some common challenges faced by professionals in medical device software testing, and how can they be addressed?

Professionals in medical device software testing often encounter challenges such as ensuring compliance with strict regulatory standards (like FDA or ISO 13485), managing complex documentation requirements, and keeping up with frequent software updates. Addressing these challenges requires a strong focus on detail, thorough understanding of relevant regulations, and effective communication with development and quality assurance teams. Collaborating closely with cross-functional teams and maintaining up-to-date knowledge of regulatory changes are key to successfully navigating these demands.
Infographic showing various Medical Device Software Testing job openings in Texas as of June 2026, with employment types broken down into 3% As Needed, 84% Full Time, 10% Part Time, 2% Contract, and 1% Nights. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.
Software Engineer

Software Engineer

Spectral MD Inc

Dallas, TX • On-site

Full-time

Posted 21 days ago


Job description

Position Summary:

Spectral AI, Inc. (Spectral) is seeking a software engineer to join our growing design and development team. The position is based in Dallas, Texas, with hybrid work flexibility in accordance with the Spectral Employee Handbook guidelines. This position will assist in the integration of computer vision algorithms into our Windows-based DeepView AI software. This role focuses on bridging advanced GPU-based reconstruction and segmentation algorithms with a clinical production software system, ensuring performance, stability, and regulatory readiness.

The software engineer will work closely with Data Science, Algorithm, and UI/UX teams to integrate 2D/3D segmentation, point cloud reconstruction, mesh generation, and visualization into a cohesive, multi-threaded GPU-accelerated workflow.

Key Responsibilities:

3D Reconstruction & Visualization Integration

  • Point cloud reconstruction pipelines
  • Mesh generation and texturing workflows
  • OpenGL-based visualization components

Windows Software & C# Integration

  • Integrate GPU-accelerated algorithms into an existing Windows OS–based C# application
  • Coordinate C# application logic with native GPU components (CUDA / TensorRT / OpenGL / Open3D)
  • Support MVVM-based architecture, async workflows, and UI responsiveness

GPU & Multi-Threaded System Design

  • Work with multi-threaded execution models:
  • Background CPU threads for capture, processing, and data management
  • GPU streams for segmentation, reconstruction, and visualization
  • Handle GPU initialization, warm-up, memory allocation, synchronization, and data transfer
  • Coordinate CUDA ↔ OpenGL interoperability for real-time visualization

Required Qualifications

  • Solid understanding of 3D math (matrices, vectors, quaternions, transformations), Graphics pipelines, GPU architecture
  • Hands-on experience with one or more graphics APIs: OpenGL, Direct3D, Vulkan or Metal
  • Experience integrating OpenGL/Vulkan with C# via OpenTK, Silk.NET, SharpGL, or custom interop
  • Understanding of: OpenGL context creation and lifecycle and WGL / platform-specific context management
  • Familiarity C#/.NET/C++, shader languages (HLSL, GLSL) in complex Windows desktop applications
  • Experience with multi-threaded programming and async execution models
  • Experience with 3D point clouds, meshes, and visualization
  • Familiarity with ray tracing or projection of 2D masks into 3D space
  • Understanding of mesh texturing, smoothing, and artifact handling is a plus

Preferred Qualifications:

  • Experience in medical device software development
  • Familiarity with regulated software environments (FDA, IEC 62304, ISO 13485)
  • Solid understanding of medical imaging or computational geometry pipelines
  • Experience working alongside Data Science / Algorithm teams
  • Familiarity with CUDA and Open3D
  • Experience handling GPU memory transfer, synchronization, and performance optimization
  • Exposure to Qt/C++ or cross-platform UI frameworks (future platform migration is a plus)
  • Background in computer vision, photogrammetry, or 3D reconstruction

Required Education and Experience:

  • Bachelor’s degree or above in Computer Science, software engineering, Electrical/Computer Engineering, or a related field.
  • 3–5 years of proven experience working with 3D graphics, computational geometry, or imaging pipelines involving point clouds, meshes, or segmentation workflows
  • Demonstrated proficiency in technical writing, producing accurate, comprehensive, and well-structured documentation for software.

Soft Skills

  • Excellent written and verbal communication skills in English.
  • Detail-oriented, strong analytical and problem-solving skills.
  • Ability to prepare quality software documentation suitable for regulatory review.
  • Ability to collaborate across functional teams such as engineering, QA/RA, hardware, and clinical teams.
  • Comfortable managing multiple concurrent security tasks.

Physical Requirements:

  • Prolonged periods of sitting at a desk and working on a computer.

Off-hours support:

Occasional support during off-hours for security events or release deadlines.

Equal Employment Opportunity:

Spectral AI, Inc. is an equal opportunity and affirmative action employer. All applicants will be considered for employment without regard to race, color, ancestry, national origin, sex, gender, sexual orientation, marital status, religion, age, disability, gender identity, results of genetic testing, protected veteran status, or any other characteristic protected by applicable federal, state or local laws.