Principal Engineer

Mayo Clinic•Rochester, MN

18h•$133,099 - $199,721

About The Position

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 Principal Software Engineer with expertise in Edge AI/ML development, wireless communication, engineering test tools (hardware/software), and embedded systems.

Requirements

BS in Engineering or related field with 10 years of related experience; Or MS in Engineering or related field with 8 years of related experience; Or PhD in Engineering or related field with 6 years of related experience.
Minimum of 4 years’ experience leading technical project teams is required.

Nice To Haves

Proficiency in programming languages such as C/C++, Python, or Rust.
Hands-on experience with serial communication protocols (I2C, SPI, UART, CAN).
Experience leading multi-disciplinary, cross-departmental efforts for software development
Knowledge of AI frameworks (e.g. TensorFlow, PyTorch, ONNX)
Knowledge of, experience in Edge AI: platforms, development tools, software stacks, techniques, etc.
Experience running ML models on low-power devices (MCUs, FPGAs, SoCs, NPUs, etc.).
Familiarity with lightweight ML frameworks (LiteRT, ExecuTorch, TensorRT, 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.
Masters or PhD preferred.

Responsibilities

Lead teams in the design, development, and optimization of Edge AI systems for real-time performance and scalability.
Lead development teams in the integration of Edge AI Systems into other Clinical and Research processes and workflows.
Identify the institutional tools, components, and systems necessary to fully integrate Edge AI Systems into Mayo practice.
Analyze and 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, safety risk management, and industry standards.
Perform unit, integration, and system-level debugging and optimization to enhance performance and reliability.
Lead code reviews, mentor junior engineers, and drive best practices in software development.
Leads and/or is a part of Engineering Teams that Design and develop 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 act as a liaison to other Mayo development groups (Facilities, IT, Digital Health, etc.) in performing Technical Lead activities.
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.