Logo
Samsung Electronics GmbH

SoC Architect, Computer vision and Neural Engine

Samsung Electronics GmbH, Mountain View, California, us, 94039


SoC Architect, Media, Computer vision and Neural Engine

SoC Architect, Media, Computer vision and Neural EngineJob Location

Mountain View, CAJob Category

Job Type

Full-TimeJob #

402403Job Department

The Samsung SOC Lab creates high performance SoC architecture for various Galaxy device lineups. This lab collaborates with Samsung's strategic SoC partners, Samsung MX headquarter team, and key R&D teams around the globe to innovate and reinvent technology that will positively impact millions of people around the world via the Galaxy flagship products.Position Summary:We are looking for a SOC Architect to lead architecture of Media, Computer Vision and Neural engine in next generation SOCs. This is a highly visible hands-on role technical leadership role.Position Responsibilities:Guide on development of innovative Computer vision and Neural Engine Architectural and microarchitectural features to boost KPIs (Key Performance Indicators) on various targeted workloads in next generation SOCsInnovate, create and deliver Media, Computer Vision and Neural Engine architecture proposals for products in new and existing marketsEvaluate architecture proposal benefits in collaboration with team of SoC Architects and communicate the results across related engineering audiences (SW, HW, Architecture, Leadership)Perform high-level performance modeling/simulation and analysis of Media, Computer Vision and Neural Engine features, applications, benchmarks, and complex uses casesCreate performance models and studies to support inclusion of these features in the next generation SoC architecture based on performance, area or power improvementCollaborate with workload characterization to verify and debug the proposal and its delivered performanceRequired Skills:BSc, Masters or PhD in Computer Science/Engineering, or equivalent combination of education, training, and experience10+ years of experience in SOC or ASIC RTL designPrior direct experience (> 7 years) in hardware architecture or RTL design is requiredHigh proficiency in architecture analysis and performance modeling, ranging from simple analytical models to complex cycle accurate performance model and correlation, especially around Computer vision and Neural EngineAbility to leverage existing simulation capabilities [GEM5, FastSIM, VisualSim] or create new simulation capabilities when necessaryDetailed knowledge of ARM bus infrastructure (ACE/AXI/AHB), existing and emerging Media, Computer Vision and Neural EngineLeadership across hardware, software, and platform groups to align all parties to a common visionOur total rewards programs are designed to motivate and engage exceptional talent. The base pay range for roles at this level is listed below, but may be higher or lower in other states due to geographic differentials in the labor market. Within the base pay range, individual rates depend on a number of factors—including the role’s function and location as well as the individual’s knowledge, skills, experience, education and training. This is part of our comprehensive compensation package with annual bonus eligibility and generous benefits to help you live life well.

Base Pay Range$188,400



$282,450 USDAdditional InformationEssential Job FunctionsThis position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, and frequently operate standard office equipment, such as telephones and computers.Samsung Research America is committed to complying with all Federal, State and local laws related to the employment of qualified individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact the recruiter or email sratalent@samsung.com.Samsung Research America is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, or status as a protected veteran.For more information regarding protection from discrimination under Federal law for applicants and employees, please refer to the links below.

#J-18808-Ljbffr