Research Engineer, Sensor Signal Processing

About the role

As a Research Engineer in Sensor Signal Processing, you will be a key contributor to the research and development of Waabi’s signal processing stack for autonomous driving. You will collaborate with our team of world‑renowned scientists and engineers to build innovative, practical, and scalable solutions that handle massive amounts of sensor data (camera, LiDAR, radar, and other modalities) with low latency and high reliability.

Key responsibilities

• Be part of a multidisciplinary team turning raw sensor data captured under diverse environments into useful signals for autonomous driving.
• Design and implement novel signal processing techniques for sensor data acquisition, fusion, and filtering.
• Optimize signal processing algorithms for deployment on parallel computing architectures such as CPU, GPU, DSP, and specialized accelerators.
• Collaborate with Waabi’s autonomy and hardware teams to ensure the robustness of the entire system.
• Contribute to high‑impact research papers submitted to top conferences or journals (e.g., TSP, TIP, ICRA, IROS, CVPR, NeurIPS, SIGGRAPH, HPG).

Required profile

• Strong understanding of signal processing theory and practice, both classical (filtering, estimation) and learning‑based (image denoising, super‑resolution, 2D/3D segmentation), with ability to design robust numerical algorithms for real‑world sensor data.
• Experience with real‑time and embedded systems, handling high‑throughput data inputs under latency‑sensitive constraints and limited compute/memory budgets.
• Ability to rapidly prototype proofs of concept in high‑level languages (Python, Julia, MATLAB) and develop production‑quality software.

Required skills

• Python
• Julia
• MATLAB
• CPU
• GPU
• DSP
• BLAS
• CHOLMOD
• Gauss‑Newton
• L‑BFGS
• Linear programming
• Causal filters
• Recursive filters
• Recurrent neural networks
• Transformers
• Systems programming
• Performance profiling
• Optimization