We are seeking an experienced Staff LiDAR Algorithms Engineer to serve as a technical leader in the design and development of algorithms for our next-generation LiDAR sensor products. This is a player-coach role: you will personally drive critical algorithm development hands-on while providing technical direction across the sensing pipeline.
You will work across the full signal chain — from raw sensor data through DSP, detection, ranging, and point cloud generation — with a strong end-to-end systems perspective that connects algorithm performance to opto-mechanical behavior, hardware constraints, and top-level sensor requirements. You will collaborate closely with firmware, software, optics, and systems teams to deliver robust, production-quality algorithms 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
Skills Required
- 10+ years experience in algorithm development for sensors, DSP, computer vision, or embedded perception systems
- Deep hands-on expertise in LiDAR, Radar or similar time-of-flight/ranging sensor algorithms
- Automotive LiDAR experience
- Strong background in DSP (digital filter design, spectral analysis, detection theory, noise modeling)
- Software algorithm implementation experience in C/C++, Python or MATLAB (prototyping and production)
- Solid understanding of computer vision fundamentals: point cloud processing, 3D geometry, calibration, and performance evaluation
- Familiarity with deploying algorithms on embedded/FPGA/SoC platforms, including fixed-point optimization and latency/resource constraints
- Working knowledge of sensor system architecture, including opto-mechanical and optical performance impacts on algorithms
- Experience with ASPICE, ISO 26262, or ISO/SAE 21434 workflows
- Strong analytical and communication skills; ability to drive technical trade-offs across multidisciplinary teams
What We Do
Aeva develops a new sensing & perception paradigm for autonomous machines. Aeva's technology brings together the best of vision, depth & motion sensors into a single product with superior performance. Compared to today's best in class, it provides greater range & resolution across weather conditions and a new dimension to precisely measure velocity of every pixel in the scene.
