Edge AI Engineer
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Job Location:
San Jose, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Are you passionate about Edge AI computer vision and MedTech innovation Join our team to design and optimize AI-powered medical devices that operate at the edge ensuring performance reliability and regulatory compliance.
What Youll Do:
Develop and optimize AI models for deployment on Edge AI devices in medical applications
Implement and evaluate computer vision algorithms for real-time video and image analysis
Collaborate with cross-functional teams to integrate AI solutions into embedded systems
Ensure compliance with SaMD regulations ISO 13485 IEC 62304 and quality processes
Document specifications test protocols and validation reports
What Were Looking For:
5 8 years in AI engineering preferably in medical devices or healthcare tech
Strong experience with Edge AI hardware (e.g. NVIDIA Jetson Google Coral Intel Movidius)
Proficiency in computer vision frameworks (OpenCV TensorFlow PyTorch)
Understanding of AI/ML LLM RAG and agentic architectures
Embedded systems development and real-time processing experience
Bonus Skills: Surgical AI test data validation cloud-edge integration CI/CD risk management cybersecurity
If youre ready to build the next generation of AI-powered medical devices we want to hear from you!
What Youll Do:
Develop and optimize AI models for deployment on Edge AI devices in medical applications
Implement and evaluate computer vision algorithms for real-time video and image analysis
Collaborate with cross-functional teams to integrate AI solutions into embedded systems
Ensure compliance with SaMD regulations ISO 13485 IEC 62304 and quality processes
Document specifications test protocols and validation reports
What Were Looking For:
5 8 years in AI engineering preferably in medical devices or healthcare tech
Strong experience with Edge AI hardware (e.g. NVIDIA Jetson Google Coral Intel Movidius)
Proficiency in computer vision frameworks (OpenCV TensorFlow PyTorch)
Understanding of AI/ML LLM RAG and agentic architectures
Embedded systems development and real-time processing experience
Bonus Skills: Surgical AI test data validation cloud-edge integration CI/CD risk management cybersecurity
If youre ready to build the next generation of AI-powered medical devices we want to hear from you!
Key Skills
- ASP.NET
- Health Education
- Fashion Designing
- Fiber
- Investigation
