Sensor Signal Processing Research Engineer — Remote & Flexible

Waabi; San Francisco (CA); Hybrid; USD 155,000 - 269,000; Full time

Benefits offered by this job

Health and Wellness

Unlimited vacation

Flexible hours & Work from Home

Catered meals and daily snacks

Team building activities (onsite, off‑

Regular team events

Job summary

Waabi in San Francisco is seeking a Research Engineer in Sensor Signal Processing to advance Waabi’s signal processing stack for autonomous driving. You will collaborate with world-renowned scientists and engineers to build scalable, low-latency solutions that handle large sensor data streams from cameras, LiDAR, and radar.

Join a multidisciplinary team focused on robust real-time processing, data fusion, and deployment on parallel architectures.

Qualifications

• Thorough understanding of signal processing fundamentals, both classical and learning-based.
• Experience with real-time, latency-sensitive data processing on constrained hardware.
• Ability to rapidly prototype in Python, Julia, or MATLAB and translate to production-grade code.

Responsibilities

• Be part of a multidisciplinary team turning raw sensor data 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 architectures (CPU, GPU, DSP, accelerators).
• Collaborate with autonomy and hardware teams to ensure system robustness.
• Contribute to high-impact research papers at top conferences or journals (e.g., TSP, TIP, ICRA, IROS, CVPR, NeurIPS, SIGGRAPH, HPG).

Skills

Signal processing

Real-time systems

Prototyping

High-performance computing

Numerical optimization

Systems programming

Performance profiling

Job description

Waabi in San Francisco is seeking a Research Engineer in Sensor Signal Processing to advance Waabi’s signal processing stack for autonomous driving. You will collaborate with world-renowned scientists and engineers to build scalable, low-latency solutions that handle large sensor data streams from cameras, LiDAR, and radar.

Join a multidisciplinary team focused on robust real-time processing, data fusion, and deployment on parallel architectures.