SAMSUNG SEMICONDUCTOR INC. OVERVIEW:

Samsung Semiconductor Inc. (SSI) is advancing the worlds technology. As a leader in Memory, System, LSI and LCD technologies, our US teams contribute to breakthroughs in 5G, SOC, memory and display. By seeking the diverse perspectives of our counterparts around the world, we collaborate to make a global impact. We are looking for team members who share our commitment to learning and growth as well as our desire to build personal connections along the way.

SSI is headquartered in the heart of Silicon Valley and is a wholly-owned U.S. subsidiary of Samsung Electronics Co., Ltd.- the #1 employer in the world (Forbes, Oct 2020) and top patent-holder in the U.S. Want to advance the worlds technology with us?

What we are looking for:
Imagine what you could do here. At Samsung, new ideas have a way of becoming innovative products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Would you like to work in a rapidly changing environment where your technical abilities will be challenged on a day-to-day basis? Samsungs Neural Processor Lab is searching for a world-class Architect/ researcher in deep learning and its application to computer vision, speech, text and other domains, with the goal of improving specific problems encountered in Samsungs products. After building model that demonstrate the promise of your research, you will work with product teams to help them integrate your ideas into products.
Samsungs Neural Processor Lab (NPL) is working on the next generation architecture for NPU, Neural Processor Unit, to be used in handsets, ADAS, and mobile devices next generation Samsung products.

Responsibilities

• 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, Long Short-Term Memory (LSTM) networks, 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.

Minimum Qualifications

• Masters, PhD, or equivalent experience in Computer Engineering, Electrical Engineering, or related field.

• 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
• Desirable Experience with using and modifying TensorFlow, Caffe, & PyTorch code and/or other neural network development frameworks is a plus

Additionally, we look for the following universal qualities in all candidates:

• Resourceful Achiever: self-driven and proactive, you apply logic and reason to effectively solve problems and manage risks.
• Avid Learner: you eagerly take on new challenges and seek out opportunities to grow and stretch
• Passionate Owner: you are energized by your work, taking ownership and delivering results without ego
• Committed Collaborator: with a positive attitude and commitment to get to the best result, you welcome ideas from others and drive processes forward in an inclusive manner

Job Title: Deep Learning Hardware Architect - Advanced Neural Processor Lab

Requisition ID: 40018

Location: San Jose, CA

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