Embedded Machine Learning & Radar Processing Intern (Automotive AI)

Location: San Jose, California, United States

Salary: $64,400–$107,500 annually

Company

hirify.global develops semiconductor and edge AI technologies for automotive radar, autonomous perception, and embedded systems.

What you will do

• Contribute to automotive radar and autonomous perception solutions for advanced driver assistance and self-driving vehicles.
• Develop software using custom IDEs, compilers, SDKs, and toolchains for edge AI SoCs.
• Benchmark and optimize machine learning models on NXP hardware platforms.
• Build and enhance a radar system proof-of-concept from machine learning models through embedded deployment.
• Collaborate with AI, signal processing, embedded systems, and semiconductor hardware teams.

Requirements

• Currently pursuing a Master's or Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, Robotics, Machine Learning, or a related field.
• Strong hands-on experience with machine learning and deep learning, including Python, PyTorch, and TensorFlow.
• Strong programming skills in C, C++, and Embedded C.
• Experience with embedded development environments, GCC, GDB, embedded Linux, and system integration.
• Experience with model deployment on resource-constrained embedded platforms, HIL testing, custom APIs, or ROS/ROS2.
• Must be returning to school or graduating at the conclusion of the summer internship; candidates graduating before July 2027 should apply for entry-level roles.

Nice to have

• Experience with NXP eIQ Auto or other custom AI toolchains.
• Experience with model quantization, acceleration, and edge-device performance optimization.
• Experience with FPGA-based emulation, hardware accelerators, cycle-accurate simulators, AI accelerators, NPUs, DSPs, or heterogeneous computing architectures.

Culture & Benefits

• Work in an Innovation R&D environment alongside industry experts.
• Health, dental, and vision insurance.
• 401(k) and paid leave.
• Potential incentive compensation and equity for certain roles.