Research Engineer, Sensor Signal Processing

📋 Description

• Be part of a multidisciplinary team turning sensor data into useful signals for autonomous driving.
• Design and implement signal processing for data acquisition, fusion, and filtering.
• Optimize signal processing algorithms for CPU, GPU, DSP, and accelerators.
• Collaborate with autonomy and hardware teams to ensure system robustness.
• Contribute to high-impact papers at top conferences or journals (e.g., TSP, TIP, ICRA, IROS, CVPR, NeurIPS, SIGGRAPH, HPG).

🎯 Requirements

• Signal Processing theory and practice mastery.
• Real-time and embedded systems with high-throughput data.
• Rapid prototyping and production software in Python, Julia, MATLAB.
• Numerical optimization: BLAS, CHOLMOD, Gauss-Newton, L-BFGS.
• Real-time methods: causal and recursive filters, RNNs, transformers.
• Systems programming: buffers, asynchronous communication, hardware accelerators.
• Performance profiling and optimization expertise.

🎁 Benefits

• Competitive compensation and equity awards.
• Health, Dental, Vision benefits for full-time staff.
• Unlimited Vacation.
• Flexible hours and work-from-home support.
• In-office snacks, drinks, and catered meals.
• Team-building events on-site, off-site, and virtually.