Software Engineer, Embedded Systems​/ Firmware​/ IoT, Embedded Software Engineer

Battelle delivers when others can’t. We conduct research and development, manage national laboratories, design and manufacture products and deliver critical services for our clients—whether they are a multi‑national corporation, a small start‑up or a government agency. We recognize and appreciate the value and contributions of individuals from a wide range of backgrounds and experiences and welcome all qualified individuals to apply.

You will be a core team member in the design and development of medical products and systems. This role contributes to all phases of product design, including initial requirements definition, conceptualization, feasibility assessment/demonstration, detailed design including engineering analysis and testing; verification testing and documentation, and transfer to the client (or manufacturing) and follow‑on support as needed. You will work on projects that typically involve teams from multiple disciplines: mechanical, electrical, software, systems, industrial design, and human factors.

• Participate in shaping product design through requirements definition, architectural discussions, and early feasibility development for embedded software solutions
• Design, develop, and maintain firmware for microcontroller based embedded systems used in medical and commercial devices
• Implement embedded software using C/C++ and other appropriate technologies for resource constrained systems
• Collaborate with electrical and systems engineers to integrate firmware with hardware components and subsystems
• Develop and maintain automated build, test, and deployment processes using CI/CD pipelines appropriate for embedded development
• Generate and maintain software design documentation, architecture descriptions, and traceability artifacts in accordance with quality and regulatory processes
• Contribute to verification and validation activities including unit testing, integration testing, and system level testing
• Apply risk based development approaches and support hazard analysis and software risk control activities
• Troubleshoot, debug, and resolve software and system integration issues during development and verification phases
• Work with project management to complete assigned technical tasks within project scope, schedule, and budget
• Communicate technical results and development progress to project leadership and clients through written and oral presentations

• Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related technical field
• Strong programming skills in C and/or C++ for embedded systems
• Experience developing software for microcontroller based platforms
• Familiarity with embedded debugging tools such as JTAG debuggers, oscilloscopes, and logic analyzers
• Experience working in multidisciplinary engineering teams developing complex systems
• Strong problem solving skills and ability to work independently on technical tasks
• Effective written and verbal communication skills for technical documentation and collaboration
• Travel Requirements:
  Limited travel up to 10% annually
• Citizenship: U.S. Citizen or Existing Work Authorization
• Security clearances:
  None

• 3–6 years of professional experience in embedded software or firmware development
• Experience developing firmware for microcontrollers or other embedded processing platforms
• Experience using version control systems such as Git in collaborative development environments

• Experience developing embedded software for sensor based electromechanical systems, including closed loop sensing and control of motors or actuators and implementation of control algorithms (e.g., PID).
• Experience integrating sensors with embedded systems, including real time data acquisition and signal processing to support feedback or control systems.
• Familiarity with sensor fusion techniques for systems involving multiple sensing modalities.
• Familiarity with image processing or perception algorithms, including libraries such as OpenCV.
• Exposure to machine learning or deep learning frameworks (e.g., Tensor Flow or PyTorch) for perception or data driven analysis…