Semiconductor USA
Back to Careers

Advanced Systems Lab - Sr. Deep Learning Research Scientist

Location: Pasadena, California
Job Category: Engineering - Hardware

Apply Now
Job Title:        Sr. Deep Learning Research Scientist

Requisition #: DSA32547

OVERVIEW

Imagine what you could do here. 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..

Samsung’s Advanced Systems Lab is developing next-generation architectures for neural processing acceleration engines for use in mobile devices and self-driving vehicles. We are looking for a world-class researcher in deep learning, machine learning and its application to algorithms for proprietary hardware neural network acceleration engine(s) and deep-learning-based systems being executed on the acceleration engine

Deep learning, machine learning algorithms that may execute on the accelerator engine may include a state-of-the-art image, object recognition, localization, segmentation, image, and video understanding, speech recognition and understanding, automotive driving assistance, simultaneous localization, and mapping and various others.

Algorithms for proprietary hardware neural network engine may include experimental studies of statistical properties of deep learning processing to facilitate their implementation in hardware, associated training, fine-tuning, compression, quantization, various network transforms and other relevant research and development.


JOB RESPONSIBILITIES
  • Design and implement algorithms for proprietary hardware neural network accelerator engine(s)
  • Optimize various network models and algorithms for execution on the neural network accelerator engine(s)
  • Analyze, debug and evaluate in depth algorithm performance including statistical analysis of results
  • Prototype, demonstrate algorithms
  • Documentation and report results
  • Research paper publications when appropriate
  • File patent disclosures
  • Keep up with the latest machine learning and deep learning research
  • Collaborate with various teams including deep learning researchers, hardware architects, and software engineers
REQUIRED SKILLS
  • PhD degree in CS, EE or related engineering area
  • Proficiency in deep learning techniques for neural networks
  • Proficiency in classical machine learning, statistics
  • Proficiency in C/C++, Python, Linux
  • Proficiency with TensorFlow, PyTorch or similar platforms
  • Strong ability to debug software, prototypes, algorithms, experiments
  • Excellent problem-solving skills
  • Must be a quick learner
  • Must be motivated and able to work without supervision
  • Excellent written and verbal communication skills
  • Can travel 5% minimum
PREFERRED SKILLS
  • Familiarity with digital design, digital hardware architectures (CPU, GPU, NPU, SoC) is a big plus
#computer vision/
*****************************************************************************************
Samsung Semiconductor Inc (SSI), an equal opportunity employer, is a world leader in Memory, System LSI, and LCD technologies. Headquartered in San Jose, California, SSI is a wholly-owned U.S. subsidiary of Samsung Electronics Co., Ltd.- the second largest semiconductor manufacturer in the world and the industry's volume and technology leader in DRAM, NAND Flash, SSDs, mobile DRAM and graphics memory. It is one of the largest providers of system logic, imaging and LED lighting solutions, as well as providing advanced process design and manufacturing for fabless companies. Samsung Semiconductor, Inc. also has a research and innovation center with numerous labs providing product design and research in: logic, memory, image sensors, displays and mobile technologies. In addition, the company supports Samsung Display Company, the largest producer of LCD and OLED displays.

*****************************************************************************************

Learn more about Samsung Semiconductor here.

A day in the life Samsung Video

Samsung Semiconductor Career Page

Apply Now