Aeva is building the next generation of sensing and perception for autonomous vehicles and beyond. With its unique ability to measure instantaneous velocity for each pixel, long-range performance at high resolutions, while being free from LiDAR or sunlight interference, Aeva’s 4D LiDAR is built from the ground up at silicon photonics scale for mass-market applications. About the role We are looking for a DSP Systems Engineer with experience in advanced algorithm development utilizing techniques in Detection & Estimation Theory, Random Processes Analysis, and Communications and Information Theory. You will be responsible for defining performance requirements, designing, testing, verification & validation of signal processing algorithms. Responsibilities Design, verify and test signal processing algorithms utilizing techniques in Detection & Estimation Theory, Random Processes Analysis, and Communications and Information Theory Design and simulation of end-to-end systems from the ground up to meet a required performance specification Data analysis and verification of algorithms against real world data Requirements Expert in programming languages C or C++ and analysis tools such as python / Matlab. MSEE+ with focus in DSP or digital communications theory Solid fundamentals in mathematics, digital signal processing and communication systems Experience in designing, choosing and optimizing DSP algorithms for RADAR or other relevant sensors Expert in MATLAB and experience in other languages (e.g. C, C++, Python) Eager to learn & implement new algorithms in groundbreaking technology Nice to have Background with Radar or LiDAR Signal Processing (FMCW) Expertise in Radar link budgets, analysis of Minimum Detectable Signal, Signal-to-Noise, and Signal-to-Clutter Experience developing DSP algorithms on FPGAs
