SWITS DIGITAL Private Limited
Edge AI Engineer – Medical Devices & Computer Vision
SWITS DIGITAL Private Limited, San Jose, California, United States, 95199
Edge AI Engineer – Medical Devices & Computer Vision
Job description for an Edge AI Engineer specializing in medical devices and computer vision, focusing on edge deployment, real-time analysis, and regulatory compliance.
Overview Job Title: Edge AI Engineer – Medical Devices & Computer Vision
Experience Level: 5–8 Years
Department: Edge AI & Embedded Systems
Responsibilities
Design, 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 and medical devices.
Ensure compliance with SaMD classification, regulatory standards, and quality processes.
Document design specifications, test protocols, and validation reports in accordance with regulatory requirements.
Communicate technical findings and project updates effectively to stakeholders.
Required Qualifications
Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, Biomedical Engineering, or related field.
5–8 years of experience in AI engineering, preferably in medical devices or healthcare technology.
Strong experience with Edge AI hardware platforms (e.g., NVIDIA Jetson, Google Coral, Intel Movidius).
Proficiency in computer vision frameworks (e.g., OpenCV, TensorFlow, PyTorch) and model optimization tools.
AI/ML Acumen (Crucial) Required: Strong LLM, RAG, agentic architecture understanding
Understanding of SaMD regulations, ISO 13485, IEC 62304, and related standards.
Experience with embedded systems development and real-time processing.
Excellent verbal and written communication skills.
Nice To Have
Experience testing or developing AI systems for surgical applications.
Familiarity with test data validation for computer vision and video-based AI models.
Knowledge of risk management processes (ISO 14971) and cybersecurity standards in healthcare.
Experience with cloud-edge integration and CI/CD pipelines for AI deployment.
Seniority level
Associate
Employment type
Contract
Job function
Engineering and Information Technology
Industries
IT Services and IT Consulting
Location & Compensation (Examples) Mountain View, CA $114,000.00-$189,000.00
San Jose, CA $120,700.00-$228,600.00
San Jose, CA $120,700.00-$228,600.00
San Jose, CA $120,700.00-$228,600.00
San Jose, CA $142,700.00-$257,600.00
Mountain View, CA $125,000.00-$206,000.00
Mountain View, CA $124,500.00-$186,500.00
San Jose, CA $200,000.00-$230,000.00
Mountain View, CA $158,400.00-$229,125.00
San Francisco Bay Area $200,000.00-$275,000.00
San Jose, CA $111,500.00-$191,950.00
Sunnyvale, CA $118,000.00-$188,400.00
San Jose, CA $128,600.00-$234,200.00
Mountain View, CA $152,000.00-$228,000.00
Note We’re not including non-essential postings or extraneous messaging.
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Overview Job Title: Edge AI Engineer – Medical Devices & Computer Vision
Experience Level: 5–8 Years
Department: Edge AI & Embedded Systems
Responsibilities
Design, 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 and medical devices.
Ensure compliance with SaMD classification, regulatory standards, and quality processes.
Document design specifications, test protocols, and validation reports in accordance with regulatory requirements.
Communicate technical findings and project updates effectively to stakeholders.
Required Qualifications
Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, Biomedical Engineering, or related field.
5–8 years of experience in AI engineering, preferably in medical devices or healthcare technology.
Strong experience with Edge AI hardware platforms (e.g., NVIDIA Jetson, Google Coral, Intel Movidius).
Proficiency in computer vision frameworks (e.g., OpenCV, TensorFlow, PyTorch) and model optimization tools.
AI/ML Acumen (Crucial) Required: Strong LLM, RAG, agentic architecture understanding
Understanding of SaMD regulations, ISO 13485, IEC 62304, and related standards.
Experience with embedded systems development and real-time processing.
Excellent verbal and written communication skills.
Nice To Have
Experience testing or developing AI systems for surgical applications.
Familiarity with test data validation for computer vision and video-based AI models.
Knowledge of risk management processes (ISO 14971) and cybersecurity standards in healthcare.
Experience with cloud-edge integration and CI/CD pipelines for AI deployment.
Seniority level
Associate
Employment type
Contract
Job function
Engineering and Information Technology
Industries
IT Services and IT Consulting
Location & Compensation (Examples) Mountain View, CA $114,000.00-$189,000.00
San Jose, CA $120,700.00-$228,600.00
San Jose, CA $120,700.00-$228,600.00
San Jose, CA $120,700.00-$228,600.00
San Jose, CA $142,700.00-$257,600.00
Mountain View, CA $125,000.00-$206,000.00
Mountain View, CA $124,500.00-$186,500.00
San Jose, CA $200,000.00-$230,000.00
Mountain View, CA $158,400.00-$229,125.00
San Francisco Bay Area $200,000.00-$275,000.00
San Jose, CA $111,500.00-$191,950.00
Sunnyvale, CA $118,000.00-$188,400.00
San Jose, CA $128,600.00-$234,200.00
Mountain View, CA $152,000.00-$228,000.00
Note We’re not including non-essential postings or extraneous messaging.
#J-18808-Ljbffr