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Full-Time

SOC CPU Microarchitecture and Modeling Engineer

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

$170.7k - $234.4kAnnually

+ Bonus + Benefits

Senior, Expert

Mountain View, CA, USA

Position will be performed in an office setting.

Category
Hardware Engineering
Computer Hardware Engineering
Required Skills
Verilog
Requirements
  • BSc, Masters, or PhD in Computer Science/Engineering, or equivalent combination of education, training and experience
  • 5+ years of experience in CPU design and microarchitecture
  • Must have 5+ years of experience in coding microarchitecture features in C, C++, SystemC, Verilog or System Verilog
  • High proficiency in CPU core microarchitecture analysis and modeling, ranging from simple analytical to complex cycle accurate models and driving correlation
  • Highly proficient in simulation capabilities [GEM5, FastSIM, Platform Architect] or create new simulation capabilities when necessary
  • Detailed knowledge of ARM bus infrastructure (ACE/AXI/AHB), CPU core microarchitecture
  • Leadership across hardware, software, and platform groups and aligning to a common vision
Responsibilities
  • Guide on development of innovative CPU core microarchitectural features to boost PPA (Performance, Power and Area) on various targeted workloads in next generation SOCs
  • Identify and deliver workload analysis driven CPU core microarchitecture features
  • Evaluate architecture proposal benefits in collaboration with SoC Architects and communicate the microarchitecture proposals to audiences (Software, Hardware, Silicon Vendor, Architecture, Leadership, Product managers)
  • Direct, orchestrate performance modeling studies [applications, benchmarks, and complex uses cases] to support inclusion of features in the next generation CPU core microarchitecture based on performance, area or power improvement
  • Collaborate across teams to bring microarchitectural proposals to fruition across the SOC, Driver, OS, System
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

3%

1 year growth

13%

2 year growth

39%

Benefits

Onsite Fitness Facility

Subsidized Meals

Coffee Barista Bar

Samsung University

Product Discounts

Dog Friendly Campus

Wellness Programs

Activity Clubs