Embedded Machine Learning & Radar Processing Intern - Summer 2027 - nxp

OpenTalent; San Jose (CA); On-site; USD 34,000 - 48,000; Full time

Job summary

NXP Semiconductors in Silicon Valley seeks a summer intern to shape radar and perception systems for autonomous vehicles. You will join a multidisciplinary team and contribute to edge AI deployment on next‑gen edge computer platforms.

You will apply ML/DL skills with Python and C/C++ in a hands‑on environment, optimizing models and integrating software from learning to embedded deployment.

Qualifications

• Pursuing a Master’s or Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, Robotics, ML, or a related field.
• Strong ML/AI fundamentals and embedded software concepts.
• Proficiency in Python and C/C++ development; familiarity with Linux.

Responsibilities

• Contribute to automotive radar and perception software development.
• Apply hands-on ML/AI techniques to edge devices and SoCs.
• Benchmark and optimize models on NXP hardware platforms.
• Assist in building PoC software from ML to embedded deployment.
• Collaborate with AI, signal processing, embedded systems, and hardware teams.

Skills

Machine Learning

Deep Learning

Python

Edge AI deployment

C

C++

Embedded C

GCC

GDB

ROS/ROS2

Education

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

Tools

PyTorch

TensorFlow

Linux

Job description

Join NXP's Innovation R&D team in the heart of Silicon Valley and help shape the future of automotive radar, AI, and autonomous perception systems. As an intern, you will work alongside industry experts developing next-generation radar technologies that power advanced driver assistance and self-driving vehicles.

In this role, you will:

• Contribute to cutting-edge automotive radar and perception solutions that push the boundaries of vehicle intelligence.
• Apply hands‑on software engineering skills using custom IDEs, compilers, SDKs, and toolchains targeting advanced edge AI SoCs.
• Benchmark and optimize AI/ML models on NXP hardware platforms, gaining firsthand experience with real‑world edge AI deployment.
• Build and enhance the software stack required to deliver a full radar system proof‑of‑concept (PoC), from machine learning models to embedded deployment.
• Collaborate with multidisciplinary teams spanning AI, signal processing, embedded systems, and semiconductor hardware.

Preferred Qualifications

Machine Learning & AI Experience

• Strong hands‑on experience with machine learning and deep learning development.
• Proficiency in Python and modern ML frameworks such as PyTorch and TensorFlow.
• Experience optimizing and deploying AI models on resource‑constrained embedded platforms.
• Bonus: Experience with custom AI toolchains such as NXP eIQ Auto.
• Bonus: Experience with model quantization, acceleration, or performance optimization for edge devices.

Embedded Software Experience

• Strong programming skills in C, C++, and Embedded C.
• Experience setting up and using embedded development environments, including IDEs, compilers (GCC), and debuggers (GDB).
• Experience with embedded Linux software development and system integration.
• Familiarity with Hardware‑in‑the‑Loop (HIL) testing and embedded software development using custom APIs.
• Experience with Robot Operating System (ROS/ROS2).
• Bonus: Experience with FPGA‑based emulation platforms, hardware accelerators, or cycle‑accurate simulators.
• Bonus: Familiarity with AI accelerators, NPUs, DSPs, or heterogeneous computing architectures.

Additional Qualifications

• Excellent communication, technical writing, and presentation skills.
• Self‑driven, highly motivated, and passionate about solving challenging engineering problems.
• Ability to thrive in a fast‑paced research and development environment.
• Currently pursuing a Master’s or Ph.D. degree in Electrical Engineering, Computer Engineering, Computer Science, Robotics, Machine Learning, or a related field.

In order to be considered for a summer internship with NXP you must be returning to school or graduating at the conclusion of the internship term. If you are graduating prior to July 2027 please apply to Entry Level full‑time roles.