Embedded AI Engineering Intern [IDA:00058]
Core
Evaluate, propose, implement, and deploy AI/ML models on embedded hardware platforms (FPGA/MCU) under strict constraints.
Role type
Embedded AI Engineering Intern
Builds
Embedded AI solutions for automotive hardware platforms
Domain
Automotive embedded systems and hardware acceleration
Deliverable
production ML models
Required skills
C/C++ programming, machine learning fundamentals, embedded systems knowledge, performance benchmarking, hardware trade-off analysis
Preferred skills
Python programming, FPGA/MCU-based AI acceleration experience
Technologies
FPGA, MCU, C, C++, Python, AI/ML models
Responsibilities
Evaluate performance of AI/ML models under embedded constraints, propose and implement embedded AI solutions, deploy and benchmark AI inference, analyze hardware platform trade-offs, document technical results
Sourced via smartrecruiters · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.
