Our technology development group designs Heat Assisted Magnetic Recording (HAMR) heads for future products. We design the integrated optics that delivers light from the laser to the Near-Field Transducer (NFT), as well as the plasmonic NFT that focuses the light down to a spot size 10’s of nanometers, an order of magnitude smaller than the diffraction limit. We also design the magnetic circuit that applies a >2 Tesla, GHz magnetic field within nanometers of the NFT’s optical spot. This “leading-edge photonic and magnetic integration” designed by our group has made HAMR a 2026 SPIE Prism Award finalist.
About the role – you will:
- Work with the world’s leading plasmonic NFT design team to invent the next NFT
- Use Comsol Multiphysics modules to model novel NFT concepts
- Use Comsol Optimization modules to optimize these novel concepts for performance, reliability and manufacturability
- Train Neural Networks to form surrogate models to optimize designs for manufacturability, taking wafer process capability into consideration
- Work with the broader design team to integrate the novel NFT designs into the full HAMR recording head
About you:
- Good physics understanding, such as electro magnetics, materials properties, thermal transport
- Experience with modeling software. Comsol will be used heavily
- Experience using general LLMs to work more efficiently
- Experience training and using neural networks
- Introductory experience with programming languages (e.g. C++, Python, Java)
- Good problem-solving skills and out-of-box thinking
- Good communication and teamwork skills needed in collaborative cross functional team environment throughout the company
Your experience includes:
- Bachelor’s or Master’s degree student in Electrical Engineering, Physics, Materials Science, Mechanical Engineering and must be enrolled in Fall 2026 classes.