Job Description
Aeva’s mission is to bring the next wave of perception to a broad range of applications from automated driving to industrial robotics, consumer electronics, consumer health, security, and beyond.
Key Responsibilities
- 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.
Requirements
- 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.
Benefits & Perks
- 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
Ready to Apply?
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