Software Engineer – DSP Framework Optimization

AnySignal•Los Angeles, CA

61d•$140,000 - $190,000

About The Position

Weâre looking for a Software Engineer to design, optimize, and maintain the core software infrastructure that powers advanced modeling and signal processing development at AnySignal. Youâll work on the backbone systems that enable our engineers to rapidly prototype, simulate, and validate signal processing algorithms â 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.

Requirements

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)
Clear communication skills and ability to collaborate across multi-disciplinary engineering teams.

Nice To Haves

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.

Responsibilities

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.