Analog IC Design Engineering Intern - AI Assisted RFIC Design (Start ASAP)

Join Texas Instruments as an RF Design Intern to apply machine learning in RF/mmWave circuit design within a leading R&D environment.

Your Role

Here’s what you will be doing:

• Utilizing machine learning-based approaches to design RF and mmWave circuits
• Generating training data, training neural networks, and performing inverse design synthesis using supervised, unsupervised, and reinforcement learning
• Designing intuitive and non-intuitive passive microwave components such as matching circuits, filters, hybrid couplers, Wilkinson dividers, and power combiners
• Designing intuitive and non-intuitive active circuits including Power Amplifiers, Low Noise Amplifiers, phase shifters, and mixers

About You

The company is looking for:

• Currently pursuing a Masters or PhD degree in Electrical Engineering or related field with RF/mmWave background and AI/ML experience
• Cumulative GPA of 3.0/4.0 or higher
• Strong coding and scripting skills using Python and deep learning frameworks such as PyTorch or TensorFlow (preferred)
• Experience with electromagnetic simulators such as HFSS, EMX, Helic, or Momentum (preferred)
• Prior tape-out experience of RFIC designs on CMOS, SiGe, or III-V (preferred)
• Knowledge of prototype development, lab testing, and debugging (preferred)

Compensation & Benefits

• Competitive pay and benefits designed to support employee and family well-being

Training & Development

Employees are empowered to own their career and development, collaborating with top technical talent to shape the future of electronics.

How to Apply

If you are interested in this position, please apply to the requisition. Texas Instruments is an equal opportunity employer and considers all qualified applicants without regard to protected characteristics. Note that employment may be subject to export control restrictions.

This job may close before the stated closing date, you are encouraged to apply as soon as possible

Report this job