AnySignal

Infrastructure Engineer - Digital Signal Processing

AnySignal • US
PythonC++
Company
AnySignal is a startup whose mission is to usher in the next generation of RF products and services. For the most demanding space and defense missions, AnySignal provides a flexible platform with world-class performance that is easy to deploy, monitor, purchase, and upgrade.
Our team has a diverse range of backgrounds that cover cloud computing to artificial intelligence, communications and sensing, embedded systems, and much more.

About the Role
We’re looking for a Software Engineer to design, optimize, and maintain the core software infrastructure that powers advanced modeling and signal processing development at AnySignal.
You’ll work on the backbone systems that enable our engineers to rapidly prototype, simulate, and validate signal processing algorithms — ensuring these tools are fast, flexible, and scalable. This role focuses on software architecture and optimization rather than algorithm design, making it ideal for engineers who thrive at the intersection of numerical computing, performance engineering, and systems design.

What You’ll Do

  • Develop and optimize core modeling frameworks that support high-speed signal processing simulations and analyses.
  • Modernize existing codebases, translating Python-based functionality into high-performance C/C++ implementations where needed.
  • Architect reusable, modular libraries that accelerate experimentation and ensure software-hardware consistency across teams.
  • Collaborate closely with DSP, firmware, and hardware engineers to ensure modeling tools meet technical and performance needs.
  • Improve performance and scalability through profiling, multi-threading, and vectorization strategies.
  • Enhance developer experience by improving tooling for simulation, visualization, and automated testing.
  • Who You Are

  • Strong background in software architecture, systems design, and performance optimization.
  • Proficiency in Python and C/C++, with experience in numerical or scientific computing libraries (e.g., NumPy, SciPy, Eigen, or similar).
  • Understanding of fixed-point arithmetic and hardware-aware software design principles.
  • Experience with code profiling, optimization, and concurrency (multi-threading, SIMD, or GPU acceleration)
  • Prior background owning system framework architecture and cross-team coordination to ensure optimal system architecture integration.
  • Clear communication skills and ability to collaborate across multi-disciplinary engineering teams.
  • Bonus Qualifications

  • Experience building or maintaining simulation frameworks or toolchains (e.g., GNU Radio, scientific modeling environments, custom signal-chain frameworks).
  • Familiarity with FPGA development workflows or hardware verification methods.
  • Experience with network simulation tools such as NS-3 or similar.
  • Track record of owning core software infrastructure that enables technical teams to work more efficiently.
  • Huge Plus: Prior experience building around real time operating systems in a demanding engineering environment.