Demo

Lead Tissue Processing and Analytics Developer

Ruby Robotics
San Carlos, CA Full Time
POSTED ON 3/20/2025
AVAILABLE BEFORE 4/17/2025

Company Overview:

Ruby Robotics is a cutting-edge medical startup that aims to maximize patient outcomes with tissue insights at the point of care. Our platform optimizes biopsy and surgical procedure workflow while delivering disease analytics early in the patient's journey.

We are a lean, fast-paced team that works intensely towards improving cancer patient care. Funded by healthcare and deep tech VCs, we offer a unique opportunity for experienced instrument software engineers to join our mission.

Job Description:

We are looking for an experienced instrument software engineer to lead the development of our novel tissue processing and analytics instruments. The ideal candidate will have a proven track record of designing, developing, and implementing control and sensing code for diagnostics instrumentation or medical robots from early prototype to commercialization.

  • Design, develop, and implement PC control and sensing software for Ruby's tissue processing and analytics instruments
  • Develop embedded code for real-time subsystem control
  • Collaborate with systems engineering and mechanical engineering teams to architect and select electrical control boards, motors, sensors, and hardware
  • Write clean, maintainable code and document software designs and configurations
  • Generate software requirements, design specifications, and software test protocols for Ruby's Quality System

Key Qualifications:

  • Bachelor's or Master's degree in Computer Science or related field with 3 years industry experience, or PhD degree with 1 year industry experience in mechatronic systems control and sensing
  • Strong knowledge across PC and embedded programming languages (C#, C, C )
  • Experience developing medical devices within FDA requirements and guidelines including risk analysis and quality assurance
  • Strong analytical skills and creative mindset
  • Ability to work well in a small agile startup team

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