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. We value original, high-impact ideas and rigorous experimental validation.
You will…
- 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).
Qualifications:
- Signal Processing Theory and Practice. 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.
- Real-time and Embedded Systems You have experience working with high-throughput data inputs in latency-sensitive algorithms, all under a limited compute and memory budget.
- Rapid Prototyping and Shipping Production Software. 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.
Bonus:
- 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.
Aplyr's read
Waabi is advancing autonomous vehicle technology with a focus on AI-driven safety and efficiency, attracting engineers and policy experts to innovate in transportation.
What's promising
- •Waabi's focus on AI solutions aims to significantly enhance vehicle safety.
- •The company is actively hiring specialized roles, indicating growth and investment in talent.
- •Waabi's work in autonomous vehicles could revolutionize transportation efficiency.
What to watch
- •Autonomous vehicle technology faces significant regulatory and public acceptance hurdles.
- •The industry is highly competitive, with established players like Waymo and Tesla.
- •Developing reliable AI for autonomous driving is a complex and lengthy process.
Why Waabi
- •Waabi emphasizes AI-driven solutions specifically for safety in autonomous vehicles.
- •The company is building a diverse team, from engineers to policy experts.
- •Waabi's approach integrates cutting-edge AI with practical vehicle testing and operations.
Aplyr’s read is generated by AI from public sources. Was it useful?
About Waabi
Waabi is a technology company focused on developing artificial intelligence solutions for autonomous vehicles, aiming to improve safety and efficiency in transportation.
