Engineering Manager - CUDA

Job Summary

Seeking a technically strong and people-focused Engineering Manager - CUDA, this full-time remote position will lead the App Engine team in building production-grade middleware for integrating deep learning models into autonomous driving systems, while driving technical direction and fostering a high-performing team culture.

Key responsibilities

• Lead and grow a team focused on building the application framework for deep learning model integration
• Drive technical execution in CUDA optimization, GPU resource management, and real-time system integration
• Partner with cross-functional teams to align technical direction and ensure reliability and scalability across workloads

Required qualifications

• Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Robotics, or a related technical field
• 3+ years of full-cycle people management experience
• Deep technical expertise with CUDA, GPU parallel computing, and inference optimization
• Strong proficiency in C++ and Linux-based development with knowledge of real-time systems
• Experience with ML frameworks (PyTorch, TensorRT, ONNX) and model deployment pipelines