Senior Software Engineer - VETi Platform

Kodiak Sciences
Palo Alto, United States of America
5 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Palo Alto, United States of America

Tech stack

C
Microsoft Windows
Artificial Intelligence
Application Performance Management
Computing Platforms
Systems Engineering
C++
Cognitive Science
Computer Programming
Computer Engineering
Software Debugging
Linux
Firmware
Field-Programmable Gate Array (FPGA)
Imaging Technology
Python
Machine Learning
Micro Electro-Mechanical Systems (MEMS)
Performance Tuning
Software Architecture
Systems Development Life Cycle
Signal Processing
Software Construction
Software Engineering
Systems Integration
Graphics Processing Unit (GPU)
Imager
Information Technology
Lidar

Job description

Our VETi - Visual Engagement Technology and Imager - platform is an AI-enabled wearable system combining advanced LiDAR, Optical Coherence Tomography (OCT), embedded computing, machine learning, and AR/VR technologies. VETi is being developed for applications in retina care, digital health, identity security, cognitive science, and broader AI-enabled vision technologies. We are looking for a Senior Software Engineer to help build the software foundation for Kodiak's VETi platform, from early prototypes through reliable engineering systems. This role is well suited for an engineer with strong software fundamentals who enjoys complex technical problems, works well across disciplines, and is excited to build software that connects closely with real-world hardware. Responsibilities

  • Lead the design, development, and optimization of software for advanced wearable imaging and sensing systems - from prototypes through validation.
  • Build software for device control, imaging workflows, AR/VR interfaces, and health-monitoring applications.
  • Develop and integrate real-time signal-processing and image-processing pipelines.
  • Work with embedded computing platforms, sensors (LiDAR, OCT, MEMS-based systems), and hardware-accelerated processing (NPUs and similar).
  • Collaborate with hardware, firmware, optics, algorithms, machine learning, and systems engineering teams.
  • Develop and debug software at the application, hardware/software integration, and system levels on Linux and Windows.
  • Take research prototypes and turn them into reliable engineering software that powers next-generation medical imaging devices used in clinical and product validation., This role is for engineers who want their code to drive real-world physical systems - optics, sensors, and embedded computing - and shape the hardware itself. You will work at the intersection of software, hardware, medical imaging, optics, AR/VR, LiDAR, OCT, and AI. The platform is novel, the technical challenges are deep, and the work has the potential to shape a new class of wearable vision technologies.

Requirements

Do you have experience in System design for system development?, * B.S., M.S., or Ph.D. in Computer Science, Electrical Engineering, Computer Engineering, or a related technical discipline, or equivalent practical experience.

  • 5+ years of professional software engineering experience developing complex systems.
  • Strong programming experience in C, C++, and Python.
  • Strong software architecture, debugging, and problem-solving skills.
  • Experience building software that interfaces with hardware, sensors, devices, imaging systems, or performance-sensitive systems.
  • Experience working in Linux and/or Windows environments.
  • Ability to collaborate across software, hardware, scientific, and engineering teams.

Additional Experience That Would Be Valuable

  • Experience with embedded systems, firmware, device software, or hardware/software integration.
  • Experience developing medical devices, imaging systems, AR/VR systems, robotics, or wearable technologies.
  • Experience with real-time signal processing, image processing, FFT pipelines, sensor data, or performance optimization.
  • Experience with GPUs, DSPs, NPUs, FPGAs, microcontrollers, or other hardware-accelerated compute platforms.
  • Experience integrating machine learning models into edge, device, or embedded systems.

About the company

Kodiak Sciences (Nasdaq: KOD) is advancing vision science by integrating retinal biology, optics, artificial intelligence, medical imaging, and next-generation wearable technologies.

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