DSP Engineer

Mountain View, CA
About us:
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:

  • 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

What's in it for you:

  • Be part of a fast paced and dynamic team
  • Very competitive compensation and meaningful stock grants
  • Exceptional benefits: Medical, Dental, Vision, and more
  • Unlimited PTO: We care about results, not punching timecards

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