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6 days ago
In this role, you will be working on the cutting-edge technology of perception algorithms for advanced driver assistance systems. Our team is responsible for industrializing sophisticated low-level perception algorithms to ensure seamless interaction between humans and machines.
We are looking for a talented engineer who can actively participate in all development phases from prototyping to implementation, testing, and deployment of deep learning models. As a key member of our team, you will have the opportunity to work with large amounts of data and contribute to the development of software for the automobile of the future.
Required Skills- Solid understanding of computer vision, machine learning, and deep learning principles
- Significant experience with TensorFlow, Keras, PyTorch, or ONNX
- Prior experience in end-to-end vision-based MLOps development cycle, from data collection strategy to deployment on the edge
- Ability to strategize ML testing using CI/CD-based development pipelines
- Experience in deploying neural networks on edge accelerators, leveraging graph optimization techniques, compiler design, and custom AI accelerator design
- Proficient understanding of CPU architecture: Ability to perform capacity estimation and planning to ensure that systems (built prototypes) are scalable and can handle projected workloads
- Strong programming skills in Python, with a deep understanding of data structures and algorithms
- Excellent communication skills in English and analytical and logical thinking ability
- Familiarity with developing applications using AWS
- Programming experience in C++, OpenCL and CUDA
- Experience in 3D reconstruction and 3D scene understanding (using Neural Radiance fields, Gaussian Splatting)
- Experience in data processing and algorithm development on sensor data from cameras, RADAR, and LiDAR, and knowledge in sensor fusion technology
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