Amazon Sr Antenna Systems Engineer Technology Innovations 

United States, Washington, Redmond 

898707842

As an Antenna Systems Engineer, you will be responsible for key aspects of phased array antenna system design, simulation, measurement, calibration, coding development and optimization. You will be working in a collaborative and fast-paced environment with a multi-disciplinary team to deliver advanced high-performance phased array antenna systems.In this role, your responsibilities will include:
· Designing, coding and implementing phased array calibration systems, signals processing and algorithms
· Performing analysis and design trade-off studies of phased arrays
· End-to-end modeling, simulation and analysis of baseband/RF/antenna systems
· Lab measurement and validation of performance of antennas, and phased array systems and subsystems
· Working with antenna, modem, RF and Digital teams to simulate, measure and fine-tune radio designs
· NPI bring up with manufacturing, test, compliance and factory teams to ramp production to mass volumeExport Control Requirement:

- BS in Electrical Engineering with relevant coursework in digital communication theory, digital signal processing, RF/Microwave Engineering, Antennas and Electromagnetic theory
- 7+ years of work experience in Aerospace/Semiconductor/Consumer Electronics industry
- Experience in DSP techniques, digital modulation, radio architecture, line-up analysis, RF system design
- Experience with lab test equipment like VSAs, VSGs, VNAs and Oscilloscopes
- Coding and scripting skills with demonstrated experience in Matlab/Python/C++. Experience automating, building, and testing systems
- Experience working in hardware lab

- MS in Electrical Engineering with 8+ years of work experience or PhD with 5+ years of experience
- Experience working with phased arrays, calibration and antenna measurement
- Experience with one of the mainstream antenna simulation tools (CST/HFSS)
- Good understanding of modern wireless technologies (OFDM/MIMO) and medium access procedures
- Familiarity with basics of probability and estimation theory
- Experience with simulation tools such as SystemVue, ADS or LabView