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.

Role Overview

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.

What you'll do:

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

What you have:

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 haves:

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

Aeva is an Equal Opportunity Employer including protected Veterans and individuals with disabilities.