onsite
Senior Deep Learning and Computer Vision Engineer - NVIDIA
ML Engineer
Lead the development of state‑of‑the‑art perception pipelines for autonomous vehicles, leveraging Deep Learning, Computer Vision, and GPU‑accelerated frameworks such as TensorFlow and CUDA.
About the role
Key Responsibilities
- Design and implement deep learning models for perception, mapping, and ground‑truth generation in autonomous driving systems.
- Develop high‑performance computer‑vision pipelines using CUDA and C++ to process large‑scale sensor data in real time.
- Collaborate with research scientists to translate cutting‑edge algorithms into production‑ready software.
- Optimize training and inference workflows on GPU clusters, ensuring scalability and robustness.
- Conduct experiments, analyze results, and iterate on model architectures to meet safety and accuracy targets.
Requirements
- 5+ years of professional experience in Deep Learning and Computer Vision, preferably in autonomous systems.
- Proficiency in Python and C++ with strong hands‑on experience in CUDA programming.
- Extensive experience building and deploying models using TensorFlow or PyTorch on GPU platforms.
- Solid understanding of perception algorithms, sensor fusion, and data annotation pipelines.
- Track record of publishing or contributing to state‑of‑the‑art research and delivering production‑grade code.
Skills
deep learningcomputer visionpythoncudatensorflowc