Autonomous Radar & Edge AI Intern

NXP Semiconductors; San Jose (CA); On-site; USD 64,000 - 108,000; Part time

Job summary

NXP Semiconductors in California's Silicon Valley invites you to join the Innovation R&D team as a summer intern. You will help shape automotive radar, AI, and autonomous perception systems, working with industry experts on next-gen radar technologies for advanced driver assistance and self-driving vehicles.

In this role you will contribute to radar/perception solutions, apply Python/C/C++, embedded Linux, ROS/ROS2, and edge AI deployment.

Qualifications

• Experience with ML model development & deployment for embedded/edge devices.
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow).
• Experience optimizing AI models on resource-constrained embedded platforms.
• Bonus: experience with NXP eIQ Auto & model quantization/acceleration.

Responsibilities

• Contribute to automotive radar and perception solutions.
• Apply hands-on software engineering with IDEs, compilers, SDKs, and toolchains for edge AI SoCs.
• Benchmark and optimize ML models on NXP hardware.
• Build and enhance software stack for radar PoC from ML to embedded deployment.
• Collaborate with AI, signal processing, embedded systems, and hardware teams.

Skills

Machine Learning

Python

PyTorch

TensorFlow

Edge AI

C/C++

Embedded Linux

ROS/ROS2

Model optimization

NXP eIQ Auto

HIL testing

FPGA emulation

NPUs/DSPs

Education

Master's or Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, Robotics, Machine Learning

Tools

GCC

IDE/SDKs/Toolchains

GDB

Job description

NXP Semiconductors in California's Silicon Valley invites you to join the Innovation R&D team as a summer intern. You will help shape automotive radar, AI, and autonomous perception systems, working with industry experts on next-gen radar technologies for advanced driver assistance and self-driving vehicles.

In this role you will contribute to radar/perception solutions, apply Python/C/C++, embedded Linux, ROS/ROS2, and edge AI deployment.