DSP Simulation Engineer

northwoodspace•Los Angeles, CA

1d•$100,000 - $170,000

About The Position

We are looking for a DSP Simulation Engineer to lead the creation and development of our next-generation system-level simulation frameworks. In this role, you will build from-scratch, high-fidelity digital signal processing models to simulate, analyze, and predict the performance of our advanced antenna and phased array systems. You will bridge the gap between theoretical RF physics and digital reality, providing the crucial virtual sandbox where our waveforms, beamforming algorithms, and hardware architectures are stressed and validated before a single line of RTL is written. This role is a great fit for an engineer with a passion for mathematical modeling, strong software engineering fundamentals, and a deep curiosity about satellite communications and electromagnetic environments. We care more about how you think and build than how many years you have been doing it.

Requirements

Bachelor’s degree with 2-5+ years of relevant experience, or Master’s degree with 1-4+ years of experience, in Electrical Engineering, Physics, Applied Math, or a related field focusing on numerical simulation.
Strong programming skills in Python (including libraries like NumPy, SciPy, or PyTorch) for mathematical and statistical modeling.
Exposure to performance-oriented languages such as C++ or Rust for accelerating simulation runtimes.
Solid understanding of digital communication fundamentals, signal processing (filtering, sampling theory), and basic electromagnetics/antenna theory (array factors, beamforming).
Demonstrated ownership of a simulation outcome: you built a complex numerical model from scratch, validated it against real-world or theoretical data, and used it to drive engineering decisions.

Nice To Haves

Experience modeling phased arrays, spatial channel models (such as MIMO or multipath fading), or dynamic orbital mechanics for satellite communications.
Familiarity with fixed-point effects and simulating hardware bit-true behavior.
Knowledge of RF impairments (such as PA non-linearity, IQ imbalance, and quantization noise) and how to model them mathematically.
Experience with high-performance computing (HPC), parallel computing (CUDA/OpenCL), or cloud-based simulation scaling.
Familiarity with satellite communication standards (such as DVB-S2X or CCSDS) or modern SDR frameworks.

Responsibilities

Design and build from-scratch, end-to-end simulation frameworks to model phased array antenna systems, RF front-ends, and propagation channels.
Develop high-fidelity models of physical layer phenomena, including beamforming networks, thermal noise, phase noise, non-linearities, and atmospheric impairments.
Evaluate and predict system performance metrics (such as EVM, BER, SNR, and beam patterns) under diverse, dynamic operational scenarios to inform hardware and architecture decisions.
Collaborate closely with DSP algorithm, RF, and Antenna engineers to validate hardware designs and link budget assumptions against simulation ground truths.
Optimize simulation performance and scalability, ensuring software tools can handle complex multi-element arrays and high-throughput data streams efficiently.