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Anduril

Builds autonomous weapons for the US and allies

RFML Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeCosta Mesa, CA, USA

About the Job

Requirements

  • A PhD or master's degree in electrical engineering, computer science, or a related field, focused on radio frequency machine learning, signal processing, or wireless systems.
  • At least 7 years of experience in the related field.
  • A strong background in wireless communications and digital signal processing.
  • Demonstrated ability to lead and manage a team of engineers, with a track record of successful project delivery.
  • Ability to articulate complex technical concepts to technical and non-technical audiences in writing and verbally.
  • Deep understanding of current trends and advancements in radio frequency sensing, statistical signal processing, and wireless systems, particularly 5G.
  • Eligible to obtain and maintain an active U.S. Secret security clearance.

Responsibilities

  • Lead and inspire a team of radio frequency machine learning engineers, and develop and execute the strategic vision for integrating machine learning into radio frequency sensing, signal processing, and wireless communication systems.
  • Design and develop advanced radio frequency machine learning models for wireless communication applications, including radio frequency spectrum sensing, channel equalization and estimation, and channel modeling.
  • Apply technical expertise in wireless systems, particularly 5G technologies, to inform the development of algorithms and models that enhance system performance while maintaining latency and compute budgets.
  • Identify and address complex signal processing and wireless systems challenges using advanced radio frequency machine learning techniques, and lead initiatives to explore and implement novel solutions.
  • Oversee multiple concurrent projects, ensuring completion on time and within scope; allocate resources and manage project risks to achieve desired outcomes.
  • Mentor and develop team members, foster continuous learning and technical excellence, and stay current with advancements in radio frequency machine learning and related fields to guide the team.
  • Travel as required.

Desired Qualifications

  • Prior experience managing the entire radio frequency machine learning engineering lifecycle, from data capture through model development, model training, system testing, and optimization.
  • Experience with real-time signal processing, digital signal processing platforms, or mixed-signal embedded systems.
  • Ability to write or review production-level code in Python and C++.
  • Experience with software-defined radios.

About the Company

Anduril

Builds autonomous weapons for the US and allies

Anduril builds autonomous weapons, such as drones, cruise missiles, and robot submarines, for the US military and its allies, often developing them with its own money before any order arrives. In 2024 it beat Boeing, Lockheed Martin, and Northrop Grumman for an Air Force contract to develop Fury, a pilotless jet that flies alongside crewed fighters. Its Lattice software merges camera and radar feeds into one live map and lets a few operators direct many drones and weapons at once, including other companies' systems. Governments buy its systems under contract, and Anduril builds much of the hardware in its own factories. Oculus founder Palmer Luckey co-founded Anduril in 2017, and it is based in Costa Mesa, California.

Company size
10,001+
Company stage
Private
Total funding
$11.5B
Headquarters
Costa Mesa, CA
Founded
2017

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