- Robot type
- Drone · Defense
- Location
- Costa MesaCaliforniaUSA
- Job type
- Software
- Posted
- Oct 29, 2026
- Salary
- $220,000–$292,000 a year
Staff Software Engineer, EW
Job description
Anduril’s Electronic Warfare (EW) team is seeking experienced generalist embedded software engineers to build out the software ecosystem supporting a next-generation electronic warfare platform. As an Embedded software engineer, you’ll develop high-performance implementations of numerical algorithms, collaborate with digital systems engineers to enable maximum-performance interfaces between next-gen RF hardware and software, work with DSP and RFML engineers to rapidly deploy bleeding-edge capabilities to our customers, and collaborate with the wider software organization to deliver seamless integration of electronic warfare products with the Anduril Lattice system-of-systems suite.
Job responsibilities
- Develop cutting-edge hardware abstractions in collaboration with FPGA, DSP, and firmware engineers.
- Design tooling for rapidly deploying advanced DSP and RFML models to detect and defeat emerging threats.
- Implement high-performance numerical algorithms for RF data generation, analysis, and manipulation.
- Develop correct, high-reliability software for electronic warfare that integrates with the Anduril Lattice ecosystem.
- Utilize infrastructure providing deterministic builds and configuration management for deployment, guaranteeing software traceability and minimizing the maintenance burden of our products.
Job requirements
- 10+ years professional experience in software engineering
- Experience with software-defined digital radio systems
- Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance
- Experience working with typed functional programming languages (e.g. Haskell, OCaml, or Rust)
- Experience with software-defined digital radio systems
- Experience with high performance numerical algorithm development
- Experience with Linux kernel module development
- Experience writing software that interfaces with FPGAs and GPUs
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