System Engineer Intern
Core
Develop AI/ML Vision applications and features on NXP MCU platforms, including training, converting, and quantizing models for low-power device deployment.
Role type
Embedded Systems Engineer Intern (AI/ML Vision)
Builds
AI/ML Vision applications and middleware libraries for secure connected vehicles and embedded systems.
Domain
Embedded Systems, AI/ML, Secure Connectivity
Deliverable
production ML models | product features
Required skills
C, C++, Python, Embedded hardware, Microcontrollers, RTOS, Machine Learning, Model training
Technologies
NXP i.MX RT, NXP MCXN, GPU, NPU
Responsibilities
Develop demos based on NXP HW and SW to showcase AI/ML Vision applications; Develop and debug features in C for a middleware library tying cameras, GPU, NPU, and displays; Work with ML models: train, convert and quantize for MCU deployment.
Seniority
Intern
