Senior DSP Architect - Lidar & Embedded Systems

Aurora

Mountain View (CA)

Hybrid

USD 212,000 - 307,000

Full time

10 days ago
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Job summary

Aurora is seeking a Senior Staff Signal Processing Engineer to lead DSP architecture for next-generation lidar, from simulation to custom silicon. You will collaborate with photonics, R&D, and electrical teams to map physics into DSP requirements and drive end-to-end algorithm development.

You will build scalable simulation environments, optimize for embedded hardware, and oversee verification from model to silicon bring-up, contributing to safety and performance in autonomous mobility.

Qualifications

  • Education & Experience: BSc, MSc or Ph.D. in Electrical Engineering, Applied Mathematics, Physics, or a related quantitative field, paired with 10+ years of relevant industry experience in advanced DSP design.
  • Advanced DSP foundation: spectral estimation, filtering, phase recovery, modulation/demodulation, detection theory and noise mitigation.
  • Cross-industry DSP experience in radar, optical/RF telecom, or computational physics.
  • Embedded hardware targeting: mapping high-throughput algorithms to FPGAs/SoC/SIMD/ASIC with tight latency constraints.
  • Proficiency in Python, C/C++, or MATLAB for modeling, simulation, and analysis.

Responsibilities

  • Architect Core DSP pipelines: lead end-to-end signal processing for next-gen coherent lidar.
  • Optimize for hardware execution: design compute-optimized architectures for FPGA/ASIC.
  • Bridge physics and hardware: translate optical properties into digital processing requirements.
  • Build simulation & tooling: develop scalable simulators to validate algorithms before silicon.
  • Verify and bring-up DSP IP across simulation, hardware emulation, and initial silicon.

Skills

DSP fundamentals
Python
C/C++
Embedded hardware
Signal processing theory

Education

PhD/MS/BS in EE/Applied Math/Physics

Tools

FPGA
SoC/SIMD
ASIC

Job description

Aurora is seeking a Senior Staff Signal Processing Engineer to lead DSP architecture for next-generation lidar, from simulation to custom silicon. You will collaborate with photonics, R&D, and electrical teams to map physics into DSP requirements and drive end-to-end algorithm development.

You will build scalable simulation environments, optimize for embedded hardware, and oversee verification from model to silicon bring-up, contributing to safety and performance in autonomous mobility.

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