Sensor Signal Processing Research Engineer
Waabi
An application made for this job — a tailored resume and cover letter that speak straight to the posting.
Benefits offered by this job
Job summary
Waabi in Toronto, Canada, seeks a Research Engineer in Sensor Signal Processing to advance the company’s signal processing stack for autonomous driving. You will collaborate with world‑renowned scientists and engineers to build scalable, low‑latency solutions for camera, LiDAR, radar, and other modalities.
You will design advanced signal processing techniques for data acquisition, fusion, and filtering, optimize algorithms for CPU/GPU architectures, and contribute to research papers and
Qualifications
- Deep understanding of signal processing fundamentals and learning-based methods applicable to sensor data.
- Experience with real-time, latency-sensitive data processing on constrained hardware.
- Prototyping and shipping production-grade software in Python, Julia, or MATLAB.
- Industry exposure to 1D/2D/3D/4D signal processing is a plus.
- Familiarity with numerical optimization and linear programming concepts.
- Knowledge of causal/recursive filters, transformers, and GPU accelerators.
Responsibilities
- Contribute to a sensor signal processing stack for autonomous driving.
- Design and implement novel processing techniques for sensor fusion and filtering.
- Optimize algorithms for CPU, GPU, DSP, and accelerators.
- Collaborate with autonomy and hardware teams to ensure system robustness.
- Publish high-impact research papers and develop production-quality software.
Skills
Tools
Job description
Waabi in Toronto, Canada, seeks a Research Engineer in Sensor Signal Processing to advance the company’s signal processing stack for autonomous driving. You will collaborate with world‑renowned scientists and engineers to build scalable, low‑latency solutions for camera, LiDAR, radar, and other modalities.
You will design advanced signal processing techniques for data acquisition, fusion, and filtering, optimize algorithms for CPU/GPU architectures, and contribute to research papers and
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