Staff LiDAR Algorithms Engineer

Own the architecture, design, and development of LiDAR sensing algorithms — including signal processing, detection, ranging, calibration, and point cloud processing pipelines.

Lead DSP algorithm development: define signal chain architecture, implement and optimize processing stages (filtering, FFT-based methods, peak detection, noise mitigation, etc.), and establish performance targets with clear verification criteria.

Develop and refine computer vision and perception-oriented algorithms that operate on LiDAR data — including clustering, tracking, object detection, and sensor fusion interfaces as applicable to the product road map.

Conduct algorithm trade studies, simulation, and analysis to validate design decisions; analyze lab and field test data to diagnose performance issues and drive iterative improvement.

Define algorithm requirements, interfaces, and performance budgets in coordination with firmware, embedded software, and systems teams — ensuring traceability from top-level sensor specs to implementation.

Support integration, bring-up, and validation of algorithms on target hardware; debug cross-domain issues spanning optics, DSP, firmware, and software.

Serve as the senior technical liaison for algorithms across engineering disciplines and in design/milestone reviews; provide technical guidance on critical deliverables as needed.

10+ years of experience in algorithm development for sensors, DSP, computer vision, or embedded perception systems, with end-to-end ownership of complex algorithm pipelines through development and release.

Deep hands-on expertise in LiDAR, Radar or similar time-of-flight/ranging sensor algorithms. Automotive LiDAR experience strongly preferred.

Strong background in DSP (digital filter design, spectral analysis, detection theory, noise modeling) and software algorithm implementation (C/C++, Python or MATLAB for prototyping and production).