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HRL Laboratories

Cognitive systems R&D for human-machine collaboration

Radar Signal Processing Engineer

Electrical EngineeringConfirmed live in the last 24 hours
Full-timeCalabasas, CA, USA

About the Job

Requirements

  • A BS, MS, or Ph.D. in Electrical Engineering, Radar Systems Engineering, Applied Physics, or a related field with a focus on signal processing for radar systems is required.
  • At least 7 years of experience in radar signal processing, SAR imaging, or related fields, including operation, testing, and data analysis, is required.
  • Strong expertise in SAR systems, SAR signal processing, radar imaging, and SAR processing algorithms is required.
  • Hands-on experience developing SAR waveforms and processing algorithms using C++, MATLAB, and Python is required.
  • Experience analyzing radar datasets and validating algorithm performance is required.
  • Familiarity with designing radar imaging system architectures, including requirements flowdown and interface definitions, is required.
  • Ability to interact professionally with program managers, colleagues, and customers is required.
  • Ability to perform detailed analysis of radar/SAR systems, algorithms, and system performance is required.
  • Ability to prepare and deliver technical presentations and written reports is required.
  • Ability to work independently and within a team of highly skilled engineers on complex, fast-paced, deadline-driven projects is required.
  • Willingness to travel for testing, customer engagement, and technical reviews is required.
  • U.S. citizenship is required.
  • Must be able to obtain and maintain a DoD security clearance.

Responsibilities

  • Design, implement, and optimize SAR algorithms spanning data collection, motion compensation, image formation, autofocus, and advanced exploitation techniques.
  • Work closely with scientists and system engineers to develop end-to-end SAR processing architectures, from waveform design and data acquisition to backend processing flows, including ADC, DSP, and image-formation pipelines.
  • Solve customer technical challenges.
  • Prepare technical documentation and write invention disclosures.
  • Publish research.
  • Brief customers.
  • Contribute to proposals.
  • Support efforts to showcase HRL expertise.

Desired Qualifications

  • Deep knowledge of SAR modalities, including stripmap, spotlight, scan SAR, and GMTI modes, SAR simulators, and radar imaging principles.
  • Expertise with radar imaging algorithms, including motion compensation, back projection, Doppler Beam Sharpening, autofocus techniques, CFAR detection, angle estimation, and image quality metrics.
  • Ability to implement algorithms in MATLAB, Python, or equivalent languages.
  • Experience with module/subsystem operation and integration from front end to back end.
  • Familiarity with GPUs, high-performance computing, or FPGAs for accelerating data processing.
  • Knowledge of advanced radar algorithms such as multi-channel processing, interferometric SAR (InSAR), and polarimetric SAR (PolSAR).

About the Company

HRL Laboratories

Cognitive systems R&D for human-machine collaboration

HRL Laboratories conducts research and development in cognitive systems and human–machine collaboration for defense and high-tech clients. It creates AI/ML-powered cognitive architectures and interfaces that help machines understand sensemaking and assist human memory, enabling more autonomous and scalable decision-making systems. Its solutions are built through project-based work for government agencies, defense contractors, and private sector partners, often involving patented technologies and collaborations with academia. The company differentiates itself with a focus on integrated cognitive architectures, memory enhancement techniques, and neurosynchrony, applying these to real-world applications in government and industry. Its goal is to improve how humans and machines interact to enhance cognitive performance and decision quality across complex, high-stakes environments.

Company size
501-1,000
Company stage
Grant
Total funding
$2M
Headquarters
Malibu, CA
Founded
1997

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