SAMSUNG SEMICONDUCTOR INC. OVERVIEW:

Samsung Semiconductor Inc. (SSI) is advancing the world’s 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 world’s 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? Samsung’s 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 Samsung’s 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.
Samsung’s 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:  Senior Deep Learning Hardware Architect - Advanced Neural Processor Lab             

Requisition ID40018

Location: San Jose, CA 

#LN-ML1

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

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.- one of the 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. SSI is an Equal Opportunity Employer. It is SSI’s policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity, and hiring decisions are made accordingly.
**************************************************************************************

Learn more about Samsung Semiconductor here.

A day in the life Samsung Video

Samsung Semiconductor Career Page

Apply for this Job

* Required

  
  
When autocomplete results are available use up and down arrows to review
+ Add Another Education
+ Add Another Employment


U.S. Equal Opportunity Employment Information (Completion is voluntary)

Individuals seeking employment at [DSA] Samsung Semiconductor are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. You are being given the opportunity to provide the following information in order to help us comply with federal and state Equal Employment Opportunity/Affirmative Action record keeping, reporting, and other legal requirements.

Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

 Race & Ethnicity Definitions

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

 

Form CC-305

OMB Control Number 1250-0005

Expires 05/31/2023

Voluntary Self-Identification of Disability

Why are you being asked to complete this form?

We are a federal contractor or subcontractor required by law to provide equal employment opportunity to qualified people with disabilities. We are also required to measure our progress toward having at least 7% of our workforce be individuals with disabilities. To do this, we must ask applicants and employees if they have a disability or have ever had a disability. Because a person may become disabled at any time, we ask all of our employees to update their information at least every five years.

Identifying yourself as an individual with a disability is voluntary, and we hope that you will choose to do so. Your answer will be maintained confidentially and not be seen by selecting officials or anyone else involved in making personnel decisions. Completing the form will not negatively impact you in any way, regardless of whether you have self-identified in the past. For more information about this form or the equal employment obligations of federal contractors under Section 503 of the Rehabilitation Act, visit the U.S. Department of Labor’s Office of Federal Contract Compliance Programs (OFCCP) website at www.dol.gov/ofccp.

How do you know if you have a disability?

You are considered to have a disability if you have a physical or mental impairment or medical condition that substantially limits a major life activity, or if you have a history or record of such an impairment or medical condition.

Disabilities include, but are not limited to:

  • Autism
  • Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, or HIV/AIDS
  • Blind or low vision
  • Cancer
  • Cardiovascular or heart disease
  • Celiac disease
  • Cerebral palsy
  • Deaf or hard of hearing
  • Depression or anxiety
  • Diabetes
  • Epilepsy
  • Gastrointestinal disorders, for example, Crohn's Disease, or irritable bowel syndrome
  • Intellectual disability
  • Missing limbs or partially missing limbs
  • Nervous system condition for example, migraine headaches, Parkinson’s disease, or Multiple sclerosis (MS)
  • Psychiatric condition, for example, bipolar disorder, schizophrenia, PTSD, or major depression

1Section 503 of the Rehabilitation Act of 1973, as amended. For more information about this form or the equal employment obligations of Federal contractors, visit the U.S. Department of Labor's Office of Federal Contract Compliance Programs (OFCCP) website at www.dol.gov/ofccp.

PUBLIC BURDEN STATEMENT: According to the Paperwork Reduction Act of 1995 no persons are required to respond to a collection of information unless such collection displays a valid OMB control number. This survey should take about 5 minutes to complete.

Gender





Veteran Status



Disability Status