Research Engineer developing low-latency sensor signal processing for Waabi’s autonomous-driving technology. Building reliable algorithms for camera, LiDAR, radar, and other sensor data.
Responsibilities
Contribute to research and development of Waabi’s signal processing stack for autonomous driving
Collaborate with scientists and engineers to build practical, scalable solutions for massive sensor data with low latency and high reliability
Work on systems that transform raw camera, LiDAR, radar, and other sensor data into useful autonomous-driving signals
Design and implement signal processing techniques for sensor data acquisition, fusion, and filtering
Optimize algorithms for CPU, GPU, DSP, and specialized accelerator architectures
Collaborate with autonomy and hardware teams to ensure system robustness
Contribute to high-impact research papers submitted to top conferences and journals
Requirements
Thorough understanding of classical signal processing fundamentals, including filtering and estimation
Understanding of learning-based signal processing, including image denoising, super-resolution, and 2D/3D segmentation
Ability to apply mathematical insights, including Toeplitz matrices, spectral bandwidth, and M-estimators, to design robust numerical algorithms
Experience working with high-throughput data inputs in latency-sensitive algorithms under limited compute and memory budgets
Comfortable rapidly building proofs of concept in Python, Julia, or MATLAB
Comfortable reading and developing production-quality software
Bonus: Industry experience in 1D audio, 2D image, 3D point cloud, or 4D radar signal processing
Bonus: Experience with BLAS, CHOLMOD, Gauss-Newton, L-BFGS, and linear programming
Bonus: Experience with causal and recursive filters, recurrent neural networks, and transformers
Bonus: Experience with buffer management, asynchronous communication, and hardware accelerators
Bonus: Solid knowledge of 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
Machine Learning Research Engineer developing AI solutions at RBC Borealis, focusing on innovative machine learning projects. Join a team of experts in applying machine learning to real - world problems.
Senior Research Engineer joining STRIKE for Threat Intelligence at SecurityScorecard. Focusing on engineering artifacts and delivery based on research findings.
Research Engineer developing AI - driven tools for genetic medicine at Deep Genomics. Bridging experimental ML research and robust production systems while optimizing PyTorch code.
Machine Learning Research Engineer at RBC Borealis applying ML technology to complex problems with a focus on generative AI, NLP, and time series analysis.
Research Engineer focusing on signal processing for autonomous vehicles at Waabi. Collaborating with scientists and engineers to innovate and optimize systems for sensor data.
ML Engineer advancing AI systems for manufacturing operations through collaboration and innovation. Play a pivotal role in developing solutions in a dynamic research environment.
Senior Applied ML Specialist building scalable ML research infrastructure to accelerate applied research. Implement research prototypes into robust systems and develop tooling for the full ML lifecycle.
Research Engineer for Waabi, developing algorithms for world models in autonomous transportation. Collaborating with a team to deliver scalable and efficient AI solutions.
Architecting and optimizing leading - edge ML and physics - based models at SandboxAQ. Driving research to production for drug discovery and materials science.