Lead Software Engineer, Medical Devices & Real-Time Imaging

Current Surgical Inc.

San Francisco (CA)

Hybrid

USD 180,000 - 290,000

Full time

14 days+

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Job summary

Current Surgical Inc. in San Francisco seeks a lead software engineer to own the software direction for our clinical prototype.

You will design, develop, and test infrastructure coordinating communication between hardware devices, sustaining high-performance data and image processing, and delivering a responsive user interface. You will work with co-founders and cross-functional teams including clinicians to achieve regulatory-compliant software lifecycle, AI development policies, and real-time

Qualifications

  • 8+ years building complex systems software; ownership of architecture of multi-device data-intensive or real-time system
  • Mentor or lead engineers; willing to continue doing so
  • Proficiency in Python, depth in at least one systems language (C/C++/Rust)
  • Entrepreneurial, self-motivated; strong technical and analytical communication
  • Willingness to work within regulated medical software quality lifecycle

Responsibilities

  • Architect software for the clinical prototype, coordinating hardware devices and real-time data processing
  • Lead and grow the software team; collaborate with clinicians and other engineers
  • Define and enforce architecture decisions with a focus on robust, testable software

Skills

Python
C/C++/Rust
Real-time systems
Multi-device architecture
Leadership
Image processing
Qt GUI
Inter-device comm
Regulated software quality
Data handling

Education

BS/MS/PhD in CS/EE/Biomedical Eng or related field

Job description

Current Surgical Inc. in San Francisco seeks a lead software engineer to own the software direction for our clinical prototype.

You will design, develop, and test infrastructure coordinating communication between hardware devices, sustaining high-performance data and image processing, and delivering a responsive user interface. You will work with co-founders and cross-functional teams including clinicians to achieve regulatory-compliant software lifecycle, AI development policies, and real-time

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