Staff LiDAR Algorithms Engineer

What you'll do

• 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.

What you'll have

• 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).
• Solid understanding of computer vision fundamentals — point cloud processing, 3D geometry, calibration, and performance evaluation metrics.
• Familiarity with the constraints of deploying algorithms on embedded/FPGA/SoC platforms, including fixed-point optimization, latency budgets, and resource limitations.
• Working knowledge of sensor system architecture — including how opto-mechanical design, optical performance, and hardware limitations affect algorithm behavior and achievable performance.
• Experience with ASPICE, ISO 26262, or ISO/SAE 21434 workflows is a plus, particularly as they relate to algorithm verification and documentation.
• Strong analytical and communication skills; comfortable driving technical trade-offs across multidisciplinary teams.

What's in it for you

• Be the first algorithms engineer in our Bangalore office in this domain — help establish the team, culture, and technical foundation from the ground up
• Be part of a fast-paced and dynamic team