Radar Systems Engineer

LeoLabs, Inc.
Menlo Park, CA, United States
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

Algorithm Design Data Analysis Beamforming Linux DevOps Field-Programmable Gate Array (FPGA) Python (Programming Language) Signal Processing Software Deployment Software Engineering High Performance Computing Performance Monitor

Job description

We are currently looking for a Radar Systems Engineer to support our growing team. Our Radar Systems group develops, maintains, and operates advanced software for phased array radars. This cross-disciplinary role bridges hardware and software, theory and real-world application, with a focus on radar signal processing, modeling, simulation, and tracking. Responsibilities span the full radar lifecycle: from concept and development to deployment, calibration, performance monitoring, and operational support.

Why This Role Matters:

Your work directly impacts mission-critical radar systems that support national security, commercial space operations, and global space safety by enabling precise detection, tracking, and analysis of objects in space.

Daily work focuses on software development in the following key areas:

Radar Signal Processing & Analysis

  • Develop, model, simulate, and validate algorithms for radar signal processing chains including matched filters, detection, and parameter estimation
  • Analyze I/Q and intermediate radar data in time and frequency domains
  • Troubleshoot and optimize signal processing workflows (pulse compression, FFT, coherent integration, clutter/interference mitigation)

Software Development & System Support

  • Implement tools for radar control, data acquisition, processing, and visualization
  • Prototype analysis workflows in Python; produce clear diagnostics and plots
  • Support operational deployment, calibration, and validation of radar systems, including timing, range, Doppler, amplitude, and phase

Requirements

  • End-to-end understanding of radar transmit/receive chains, signal processing, and detection theory
  • Strong Python skills for analysis, prototyping, and visualization
  • Knowledge of phased array fundamentals, beamforming, and RF hardware
  • Ability to analyze, troubleshoot, and optimize complex radar algorithms, * U.S. Citizenship with the ability to obtain a U.S. Security Clearance.
  • Bachelor’s degree in Electrical Engineering, Engineering Physics, or a related technical field, plus 3+ years of hands-on experience in radar systems, signal processing, or a closely related domain.
  • Strong proficiency in Python for data analysis, algorithm development, and visualization.
  • Working knowledge of radar signal processing fundamentals, including filtering, making range/doppler measurements, and further analysis of radar data.
  • Experience with phased array systems, RF fundamentals, and angle of arrival concepts.

Additional Skills (Preferred):

  • Model phased array/beamforming and Tx/Rx chain components, simulate performance across conditions, and diagnose RF issues (IQ imbalance, clock drift, nonlinearity, interference)
  • Exposure to multiple radar architectures, waveforms, and design tradeoffs
  • Experience with software deployment, DevOps, and real-time production systems
  • Linux-based radar system operation
  • High-performance computing (GPU optimization; FPGA optional)

Benefits & conditions

  • Global workforce: flexible remote/hybrid opportunities
  • Work on complex, meaningful missions with real-world impact
  • Unlimited paid time off for most roles
  • Competitive salary and equity packages
  • Comprehensive health, dental, and vision coverage
  • Access to the forefront of commercial space operations and defense innovation

About the company

At LeoLabs, we’re building the living map of activity in space. Through our proprietary global radar network and AI-enabled analytics platform, we collect millions of measurements daily on more than 25,000 objects in low Earth orbit (LEO). Our radar-powered intelligence protects billions in assets, monitors adversarial behavior, and ensures safe operations for commercial and government missions.

We’re not just building technology, we are redefining global security, safety, and transparency in space. As orbital activity accelerates and threats grow more complex, LeoLabs is a trusted partner for Space Domain Awareness, Space Traffic Management, and Satellite Operations for top-tier space operators and allied defense organizations.

If you’re looking to work on mission-critical challenges at the forefront of aerospace, national security, and AI, your impact starts here.

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