Senior Embedded Software Engineer

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The Senior Embedded Software Engineer, AI and Medical Systems will lead the design, development, and optimization of software for advanced electromechanical medical devices in the cell and gene therapy space. This individual will architect and implement real‑time embedded control software, integrate machine learning and AI algorithms for system intelligence, and ensure robust, compliant performance within a regulated medical environment. You will collaborate closely with electrical, systems, mechanical, and bio engineering teams to create next‑generation intelligent therapeutic systems.

• BS or MS in Computer Engineering, Electrical Engineering, Computer Science, or related field.
• 4+ years of experience developing embedded software for complex electromechanical or medical systems.
• Expertise in C/C++, Python, and experience with RTOS or embedded Linux environments.
• Strong understanding of embedded system design (QNX), real‑time constraints, and hardware‑software integration.
• Familiarity in analog and digital circuit design, PCB layout, and component selection.
• Experience with AI/ML frameworks (Tensor Flow Lite, PyTorch Mobile, ONNX Runtime, or Edge AI SDKs).
• Proficiency of signal processing, control systems, and sensor data analysis.
• Experience with IEC 62304, ISO 13485, ISO 14971, and FDA design control processes.
• Experience with communication protocols (UART, SPI, I²C, CAN, Modbus, Ethernet).
• Excellent documentation, problem‑solving, and communication skills.
• Ability to manage multiple projects and priorities in a fast‑paced R&D environment.

• Lead embedded software development for therapeutic devices involving pumps, sensors, actuators, and optical subsystems.
• Design and implement real‑time control firmware (C/C++, RTOS, or embedded Linux) for safety‑critical systems.
• Integrate AI/ML algorithms for process control, anomaly detection, predictive maintenance, and adaptive therapy optimization.
• Architect embedded communications frameworks, including serial buses, CAN, Ethernet, and cloud connectivity.
• Collaborate with cross‑functional electrical, mechanical and bio engineering teams to ensure hardware‑software co‑design and integration for next‑generation platforms.
• Develop software architecture documentation, risk analyses, and verification protocols per IEC 62304 and Therakos QMS.
• Conduct code reviews, unit testing, and system validation, ensuring reliability, performance, and compliance.
• Work with system data to train, test, and deploy embedded inference models for clinical and process optimization.
• Mentor junior software engineers and contribute to a culture of innovation, quality, and continuous improvement.

• Life / AD&D
• Short‑ and Long‑Term Disability
• 401(k) with large company match
• Health Saving Account (HSA) and Flexible Spending Account (FSA) with company match
• Wellness Program
• Employee Assistance Program (EAP)
  Generous Paid Time Off (PTO)

Role is onsite in Franklin, TN M‑F with Flexible Core Hours.

Disclaimer:
The included statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position.

Seniority level:
Mid‑Senior level

Employment type:

Full‑time

Job function:
Engineering, Information Technology, and Research

Industries:
Medical Equipment Manufacturing and Pharmaceutical Manufacturing

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