Anduril Industries
RFML Engineer
About this role
Anduril Industries seeks a DSP Engineer to design and optimize signal processing algorithms for radio direction finding and electronic warfare applications. You'll develop real-time DSP implementations on embedded platforms, collaborate across hardware and software teams, and support the maturation of RF systems from lab to deployment.
What you'll do
- Design and optimize DSP algorithms for radio direction finding and direction-of-arrival estimation
- Implement high-performance real-time signal processing on embedded and FPGA platforms
- Develop modeling and simulation code for radar techniques with HIL/SIL testing
- Collaborate with hardware and software engineers on software-defined radio development
- Conduct laboratory and field testing of RF systems and techniques
- Drive maturation of RF systems into deployable products
What they're looking for
- Digital signal processing and communications theory
- Direction finding and angle-of-arrival estimation algorithms
- FPGA, Nvidia Jetson, and software-defined radio implementation
- Python and MATLAB programming
- RF modeling and simulation (Radar, SAR)
- Deep learning and ML frameworks (TensorFlow, PyTorch preferred)
- Wireless communication standards knowledge
- Electronic warfare systems experience
Benefits
- Competitive salary range: $166,000–$220,000 USD
- Equity grants included in most full-time offers
- Comprehensive health and recovery benefits
- Top-tier benefits package at little to no cost
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Anduril Industries
Anduril Industries builds autonomous defense systems including underwater vehicles, unmanned aircraft, and electronic warfare platforms for the Department of Defense. The company is hiring across mechanical engineering, mission operations, software development, technical leadership, and advanced manufacturing roles to support the design, deployment, and production of these mission-critical systems.
- Website
- anduril.com
Likely interview questions
- Walk us through your experience implementing direction-of-arrival (DoA) estimation algorithms. What techniques have you used, and how did you optimize them for real-time embedded systems?
- Describe a project where you implemented DSP algorithms on FPGA or GPU-accelerated hardware. What were the performance bottlenecks, and how did you address them?