Aeva, Inc.
Staff LiDAR Algorithms Engineer
TLDR
Lead end-to-end LiDAR algorithm development across sensing pipeline, driving production-quality perception software for automotive-grade LiDAR.
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
Aeva builds advanced perception technology with its 4D LiDAR sensors, enabling smarter and safer decision-making across various applications, including automated driving, industrial robotics, and security. By integrating all key LiDAR components onto a silicon photonics chip, Aeva’s solutions are compact yet powerful, setting a new standard for autonomy in multiple sectors.
- Founded
- Founded 2016
- Employees
- 201-500 employees
- Industry
- Industrial Conglomerates