Research Engineer, Sensor Signal Processing

Waabi; United States; On-site; USD 155,000 - 269,000; Full time

Benefits offered by this job

Competitive compensation

Equity awards

Unlimited vacation

Flexible hours

Work from home support

Catered meals

Team building events

Job summary

Waabi, founded by Raquel Urtasun, is a leader in Physical AI and autonomous transportation. We are seeking a Research Engineer in Sensor Signal Processing to advance Waabi’s signal processing stack for autonomous driving.

You will transform raw sensor data into reliable signals across camera, LiDAR, and radar modalities. You will design and implement novel processing techniques for data acquisition, fusion, and filtering, plus optimize for CPU, GPU, DSP, and accelerators.

Qualifications

• Strong fundamentals in signal processing, both classical and learning-based
• Experience with latency-sensitive, high-throughput data
• Prototyping in high-level languages and shipping production software

Responsibilities

• Turn raw sensor data into usable signals for autonomous driving
• Design and implement signal processing techniques for acquisition, fusion, and filtering
• Optimize algorithms for CPU/GPU/DSP and accelerators
• Collaborate with autonomy and hardware teams to ensure robustness
• Contribute to high-impact research papers and conferences

Skills

Signal processing theory

Real-time systems

Rapid prototyping

Tools

Python

Julia

MATLAB

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

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.

Perks/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.
• As we grow, this list continues to evolve!

The US yearly salary range for this role is: $155,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.