Research Engineer, Sensor Signal Processing

Summary

Waabi is a technology startup developing Physical AI technologies for autonomous transportation, including commercial autonomous trucks and robotaxis. The Research Engineer will develop Waabi’s sensor signal processing stack, designing and optimizing techniques for sensor acquisition, fusion, and filtering across camera, LiDAR, radar, and other modalities. The role also involves collaborating with autonomy and hardware teams and contributing to research publications.

Responsibilities

• Be part of a multidisciplinary team of scientists and engineers working on a system that turns 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 (e.g., CPU, GPU, DSP, and specialized accelerators)
• Collaborate with Waabi’s autonomy and hardware teams to ensure the robustness of the entire system
• Have the opportunity to make contributions to high-impact research papers submitted to top conferences or journals (e.g., TSP, TIP, ICRA, IROS, CVPR, NeurIPS, SIGGRAPH, HPG)

Skills

• You have a thorough understanding of the fundamentals of signal processing, both classical (filtering, estimation) and learning-based (image denoising and super-resolution, 2D and 3D segmentation). You know how to apply insights from the underlying mathematics (Toeplitz matrices, spectral bandwidth, M-estimators) to design robust numerical algorithms that operate on data from real-world sensors
• You have experience working with high-throughput data inputs in latency-sensitive algorithms, all under a limited compute and memory budget
• You are comfortable rapidly building proofs of concept in a high level language like Python, Julia, or MATLAB. You are equally comfortable reading and developing production-quality software
• Industry experience in 1D (audio), 2D (image), 3D (point cloud), or 4D (radar) signal processing
• Experience with numerical algorithms and mathematical optimization: BLAS, CHOLMOD, Gauss-Newton, L-BFGS, linear programming
• Experience with real-time methods: causal and recursive filters, recurrent neural networks, transformers
• Experience with systems programming: buffer management, asynchronous communication, hardware accelerators
• Solid knowledge in performance profiling and optimization

Qualifications

Must Haves

• You have a thorough understanding of the fundamentals of signal processing, both classical (filtering, estimation) and learning-based (image denoising and super-resolution, 2D and 3D segmentation). You know how to apply insights from the underlying mathematics (Toeplitz matrices, spectral bandwidth, M-estimators) to design robust numerical algorithms that operate on data from real-world sensors
• You have experience working with high-throughput data inputs in latency-sensitive algorithms, all under a limited compute and memory budget
• You are comfortable rapidly building proofs of concept in a high level language like Python, Julia, or MATLAB. You are equally comfortable reading and developing production-quality software

Nice to Haves

• Industry experience in 1D (audio), 2D (image), 3D (point cloud), or 4D (radar) signal processing
• Experience with numerical algorithms and mathematical optimization: BLAS, CHOLMOD, Gauss-Newton, L-BFGS, linear programming
• Experience with real-time methods: causal and recursive filters, recurrent neural networks, transformers
• Experience with systems programming: buffer management, asynchronous communication, hardware accelerators
• Solid knowledge in performance profiling and optimization

Benefits

• Competitive compensation and equity awards.
• Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
• Unlimited Vacation.
• Flexible hours and Work from Home support.
• Daily drinks, snacks and catered meals (when in office).
• Regularly scheduled team building activities and social events both on-site, off-site & virtually.