Physical AI Internship: Sensor Fusion & Radar ML

IMSAR; Springville (UT); On-site; USD 28,000 - 40,000; Full time

Job summary

IMSAR invites a motivated student to join the Physical AI Team as an intern in Utah. You will collaborate with the software team on core radar/AI projects and apply quantitative methods to challenging problems.

The role targets undergrad (upper-division) or graduate students in applied math, EE, CS, physics, or AI/ML fields, with proficiency in Python (PyTorch, NumPy, SciPy) and/or C++. A bonus is given for side projects or research in physical AI, DSP, or spatial data pipelines.

Qualifications

• Pursuing undergraduate (upper-division) or graduate degree in Applied Math, Electrical Engineering, Computer Science, Physics, or a AI/ML related quantitative field.
• Core Skills: DSP, linear algebra, state estimation, or electromagnetics.
• Bonus: Exposure to radar signal processing (SAR, adaptive signal processing, GMTI, or phase history processing), SLAM, machine learning, or multi-modal sensor fusion.

Responsibilities

• You are our potential Physical AI and algorithms development engineers.
• You'll have a chance to work with our software team on important mainline projects right away.

Skills

Python

PyTorch

NumPy

SciPy

C++

DSP

Linear algebra

State estimation

Electromagnetics

Radar signal processing

Education

Undergraduate upper-division

Graduate degree

Applied Math

Electrical Engineering

Computer Science

Physics

AI/ML related field

Tools

Python

C++

Job description

IMSAR invites a motivated student to join the Physical AI Team as an intern in Utah. You will collaborate with the software team on core radar/AI projects and apply quantitative methods to challenging problems.

The role targets undergrad (upper-division) or graduate students in applied math, EE, CS, physics, or AI/ML fields, with proficiency in Python (PyTorch, NumPy, SciPy) and/or C++. A bonus is given for side projects or research in physical AI, DSP, or spatial data pipelines.