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Full-Time

SoC Architect

Media, Computer vision and Neural Engine

Confirmed live in the last 24 hours

Samsung Research America

Samsung Research America

501-1,000 employees

Develops advanced technology in multiple domains

Hardware

Compensation Overview

$188.4k - $282.4kAnnually

+ Bonus + Benefits

Expert

Mountain View, CA, USA

Category
Deep Learning
Computer Vision
AI & Machine Learning
Required Skills
Computer Vision
Requirements
  • BSc, Masters or PhD in Computer Science/Engineering, or equivalent combination of education, training, and experience
  • 10+ years of experience in SOC or ASIC RTL design
  • Prior direct experience (> 7 years) in hardware architecture or RTL design is required
  • High 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 Engine
  • Ability to leverage existing simulation capabilities [GEM5, FastSIM, VisualSim] or create new simulation capabilities when necessary
  • Detailed knowledge of ARM bus infrastructure (ACE/AXI/AHB), existing and emerging Media, Computer Vision and Neural Engine
  • Leadership across hardware, software, and platform groups to align all parties to a common vision
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 SOCs
  • Innovate, create and deliver Media, Computer Vision and Neural Engine architecture proposals for products in new and existing markets
  • Evaluate 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 cases
  • Create performance models and studies to support inclusion of these features in the next generation SoC architecture based on performance, area or power improvement
  • Collaborate with workload characterization to verify and debug the proposal and its delivered performance
Samsung Research America

Samsung Research America

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Samsung Research America specializes in advanced technologies such as next-generation communications, artificial intelligence, digital media, mobile platforms, and digital health. Their innovations include FadeNet, a convolutional neural-network based technology, and the ECG Monitor App, which enables ECG recording using Galaxy Watch for atrial fibrillation screening.

Company Stage

N/A

Total Funding

N/A

Headquarters

Mountain View, California

Founded

1988

Growth & Insights
Headcount

6 month growth

6%

1 year growth

10%

2 year growth

39%

Benefits

Onsite Fitness Facility

Subsidized Meals

Coffee Barista Bar

Samsung University

Product Discounts

Dog Friendly Campus

Wellness Programs

Activity Clubs