Jobs · Information Technology · California

Senior Wireless Systems Engineer

RADAR · San Diego, CA · 6 days ago
HybridInformation Technology$150k–$185k/yrFull-time

About the role

RADAR is building the data infrastructure layer for the physical world, starting with retail. Our hardware-enabled SaaS platform uses proprietary overhead sensors, software, and AI-powered analytics to locate every product in a store, continuously, down to the fixture. We are deployed across 1,400+ stores with retailers including American Eagle Outfitters and Old Navy, processing tens of billions of real-world events every day, delivering 99%+ accuracy in complex, noisy environments - at fleet scale.

Responsibilities

  • Define, implement, and simulate physical layer algorithms.
  • Identify and model system impairments in C++, validate against lab measurements.
  • Simulate impact of impairments on PHY and MAC layer performance.
  • Collaborate with engineers to specify system requirements.
  • Analyze trade-offs between performance and implementation complexity.
  • Devise and implement test strategies that adequately assess all aspects of the wireless system.
  • Work with other engineers to troubleshoot and resolve issues.
  • Document algorithms for Software and RTL Designers.

Requirements

  • You have a Bachelor's degree in wireless communications and signal processing.
  • You have 5+ years of experience simulating end-to-end wireless systems under various RF conditions.
  • You are familiar with fixed-point design and implementation trade-offs.
  • You have strong C++ programming skills.
  • You have strong root-cause analysis skills.
  • You are able to collaborate with people of different working styles.
  • You are driven, deadline and detail oriented.

Preferred

  • You have knowledge of RFID and sensor technologies and test procedures.
  • You have a Master's or PhD in wireless communications and signal processing.

Pay

The expected base compensation range for this position is $150,000 - $185,000. Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

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