Vacancy caducado!
- Research and develop high-level architecture and micro-architecture for neural processor hardware.
- To optimize execution of neural network models on neural processor hardware.
- Expertise in deep learning-related algorithms, such as Convolutional Neural Networks “CNN”, Transformer networks, Natural Language Processing, classification/detection and their applications.
- Familiarity with computer vision algorithms such as object detection, tracking, and recognition.
- Understanding the system implications of aforementioned algorithms in terms of performance and power.
- Implement neural processor behavior, functional, and cycle-accurate models (e.g. SystemC or C)
- Implement NPU synthesizable code, simulate, debug, and optimize.
- Benchmark models, simulations, and prototypes.
- Masters with 6+ years or PhD with 2+ years
- Strong foundation in Hardware Architecture and analysis
- Strong analytical problem solving, and attention to details
- Knowledge of performance-modeling, design, and verification
- Knowledge of programming languages such as C, Python, SystemC
- Knowledge/expertise in hardware architecture, computer architecture, and GPU architecture.
- Proven C and Python coding skills.
- Knowledge of image processing, camera pipeline is a plus.
- Familiarity with neural networks and machine learning concepts, processor architectures, and hardware architecture concepts
Vacancy caducado!