Embedded AI intern [IDA: 00062]
Core
Evaluate, optimize, and deploy AI models on resource-constrained embedded platforms (FPGA, MCU) for automotive use cases.
Role type
Embedded AI Engineer Intern
Builds
Embedded AI solutions for automotive hardware
Domain
Automotive embedded systems, FPGA, MCU
Deliverable
production ML models
Required skills
C/C++, Python, FPGA design, embedded systems, performance evaluation (latency/memory/power/accuracy), hardware-aware optimization
Preferred skills
Verilog/VHDL, machine learning fundamentals
Technologies
FPGA, MCU
Responsibilities
Evaluate AI/ML model performance under embedded constraints; Propose and implement embedded AI solutions; Deploy and benchmark AI inference; Analyze hardware platform trade-offs; Document technical results
Seniority
Intern
Sourced via smartrecruiters · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.
