Senior Wireless Systems Engineer

About the role:

We’re looking for an experienced Senior Wireless Systems Engineer to drive performance, simulations and optimizations of our Drone network focusing on improving performance metrics, optimize capacity, throughput and latency in highly congested / NLOS and long range use cases.

How you'll make an impact:

• You will simulate, evaluate, implement and optimize Skydio’s wireless solutions, extend the range, enhance the operation in congested NLOS use cases and manage various connection topologies.
• You will lead the development, design, deployment, tuning and evaluation of the OTA performance metrics for such a network to meet system level KPI.
• You will explore and evaluate multiple wireless solutions in the drone as well as the ground stations.
• You will collaborate with HW,SW, Firmware and HW engineers to improve existing wireless networks and develop the next generation solution for Skydio’s network.

What makes you a good fit:

• Masters or PhD in a relevant area of study.
• Strong understanding of WLAN and/or cellular protocols and performance metrics.
• Strong background in Wireless end to end operation and associated impact on the system performance.
• Experience with PHY and MAC level simulations.
• Experience in Firmware development.
• Experience with using lab equipment for test and debug. Equipment such as wireless test equipment, Protocol analyzer, PHY level test equipment.
• Experience with Python/C/C++/MATLAB and Simulink.
• Can work in a collaborative environment with multiple teams alongside systems, SW and RF Engineers.

Compensation Range: The annual base salary range for this position is $170,000 - $258,000* (dependent on final leveling). Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. In addition to base salary, Skydio full-time employees are eligible to enroll in our benefit plans and take advantage of a variety of incentives and stipends.

*For some positions the pay may be dependent upon the individual's regional location.

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