Senior BAW Device Engineer – RF MEMS & Filters

SPACE EXPLORATION TECHNOLOGIES CORP; Bastrop (TX); Sur place; USD 120 000 - 180 000; Plein temps

Résumé du poste

SpaceX in Bastrop, TX is seeking a Sr. BAW Device Engineer (Starlink/Akoustis) to lead simulation-based optimization of BAW resonators and support RF filter designs within the Starlink program.

The role requires deep experience in BAW/MEMS technology, RF circuits, and DoE-style experiments; candidates should have a track record of high-yield process integration and advanced modeling skills.

Qualifications

• Bachelor’s degree in an engineering discipline.
• 5+ years of experience with semiconductor devices, RF, antenna, or communication systems (internship and extracurricular experience is applicable).
• Advanced degree in engineering or STEM is preferred.

Responsabilités

• Develop and improve FEA setups (COMSOL, HFSS) for BAW resonator simulations and optimization.
• Improve the performance of bulk acoustic wave resonators for RF filter applications.
• Develop and improve thin film bulk acoustic wave resonator process for better performance, accuracy, high yield as well as short cycle time.
• Support BAW filter design with dimensions and process integration.
• Define and generate resonator equivalent circuit models to be used in filter design.
• Plan experimental setups with multiple parameters.
• Scientific and statistical analysis of RF test results of BAW resonators.
• Support problem solving in filter design, reliability, and yield improvement.

Connaissances

FEM/FEA simulations

RF/MEMS knowledge

Statistical analysis of RF tests

COMSOL/HFSS experience

Formation

Bachelor’s degree in engineering

Advanced degree in engineering or STEM

Outils

COMSOL

HFSS

Description du poste

SpaceX in Bastrop, TX is seeking a Sr. BAW Device Engineer (Starlink/Akoustis) to lead simulation-based optimization of BAW resonators and support RF filter designs within the Starlink program.

The role requires deep experience in BAW/MEMS technology, RF circuits, and DoE-style experiments; candidates should have a track record of high-yield process integration and advanced modeling skills.