DescriptionThis position supports Engineerings 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 Clinics 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 entry-level Software Engineer with a strong foundation in software development. This role will provide opportunities to work in and gain experience with Edge AI/ML 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.
- Knowledge of best practices in software development.
Assists in the design and development of biomedical-related engineering systems; possessesknowledge of tools design techniques and underlying theory relevant to their discipline;Demonstrates good written and verbal skills; regularly summarizes and communicates theresults of work efforts to project team members and management in a clear concise and timelymanner; accomplishes assigned tasks and manages multiple priorities. Understands relevantcomponents of the Divisions quality management system and participates in safety riskmanagement activities. Is a self-starter who excels in a multi-disciplinary developmentenvironment. Communicates effectively in writing and conversation.
This vacancy is not eligible for sponsorship/ we will not sponsor or transfer visas for this position. Also Mayo Clinic DOES NOT participate in the F-1 STEM OPT extension program.
QualificationsBachelors in engineering or related field. Masters preferred.
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 PyTorch ONNX)
- 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 the software development lifecycle.
- 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.
Required Experience:
IC
DescriptionThis position supports Engineerings 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 Clinics co...
DescriptionThis position supports Engineerings 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 Clinics 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 entry-level Software Engineer with a strong foundation in software development. This role will provide opportunities to work in and gain experience with Edge AI/ML 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.
- Knowledge of best practices in software development.
Assists in the design and development of biomedical-related engineering systems; possessesknowledge of tools design techniques and underlying theory relevant to their discipline;Demonstrates good written and verbal skills; regularly summarizes and communicates theresults of work efforts to project team members and management in a clear concise and timelymanner; accomplishes assigned tasks and manages multiple priorities. Understands relevantcomponents of the Divisions quality management system and participates in safety riskmanagement activities. Is a self-starter who excels in a multi-disciplinary developmentenvironment. Communicates effectively in writing and conversation.
This vacancy is not eligible for sponsorship/ we will not sponsor or transfer visas for this position. Also Mayo Clinic DOES NOT participate in the F-1 STEM OPT extension program.
QualificationsBachelors in engineering or related field. Masters preferred.
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 PyTorch ONNX)
- 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 the software development lifecycle.
- 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.
Required Experience:
IC
View more
View less