This position supports Engineering’s mission to drive innovation and new product development at Mayo Clinic, with a unique opportunity to help define the next generation of tools and technologies that enable us to deliver better care for our patients. The role contributes to Mayo Clinic’s commitment to transforming healthcare and improving patient outcomes through innovation and excellence by developing cutting-edge solutions and leveraging emerging technologies.

We are seeking an experienced Senior Software Engineer with expertise in Edge AI/ML development, wireless communication, and embedded systems.  The position will have the following responsibilities:

• Design, develop, and optimize Edge AI systems for real-time performance and scalability.
• Integrate AI models into embedded systems and ensure compatibility with hardware platforms.
• Work with serial communication protocols (e.g., I2C, SPI, UART, CAN) to enable seamless hardware-software interaction.
• Collaborate with cross-functional teams to ensure compliance with regulatory requirements and industry standards.
• Perform system-level debugging and optimization to enhance performance and reliability.
• Lead code reviews, mentor junior engineers, and drive best practices in software development.

Designs and develops components of biomedical-related engineering systems, applying knowledge of complex principles, theories, concepts, tools and techniques to the design challenges. May act as Technical Lead for projects to provide technical and work direction to project team members and while completing technical work as needed. May mentor and coach other staff as required. Developing skills in one or more engineering disciplines. Developing expertise in the use of software modeling and analysis tools and techniques. May lead in evaluating new technologies and capital equipment. Has software-specific expertise in safety risk management. Working to develop expertise in regulatory requirements applicable to his/her unit. Self-starter who functions effectively in a multi-disciplinary development environment. Demonstrated ability to effectively communicate with team members, physicians and health care providers. Possesses effective oral communication and presentation skills. Develops engineering and technical documentation.

B.S. in Computer Engineering or Electrical Engineering or a related field and 5 years of professional engineering experience; Or MS in Engineering or related field and 3 years of professional engineering experience; Or, PhD in Engineering or related field and 1 year of professional engineering experience. Masters preferred. 

Able to be onsite as part of normal project assignments on an as needed basis.

Preferred Qualifications:

• Proficiency in programming languages such as C/C++, Python, or Rust.
• Hands-on experience with serial communication protocols (I2C, SPI, UART, CAN).
• Knowledge of AI frameworks (e.g., TensorFlow Lite, PyTorch Mobile, ONNX).
• Experience running ML models on low-power devices (MCUs, FPGAs, SoCs, NPUs, etc.).
• Familiarity with lightweight ML frameworks (TensorFlow Lite, TensorRT, QKeras, etc.).
• Experience using model compression techniques (pruning, quantization, clustering, knowledge distillation, etc.) to improve latency and reduce energy consumption with minimal accuracy loss.
• Strong understanding of regulatory compliance and software development lifecycle in regulated industries.
• Familiarity with real-time operating systems (RTOS) and microcontroller-based systems.
• Experience with hardware-software co-design and performance optimization.
• Exposure to cybersecurity standards for embedded devices.
• Knowledge of system-level design tools and techniques (e.g., FMEA, system modeling).
• Excellent debugging, problem-solving, and communication skills.
• Previous leadership or mentorship experience in a technical team.