Staff Engineer
AI ML Compiler
Posted on 3/9/2023

10,001+ employees

One of the world's largest producers of electronic devices
Company Overview
Samsung's mission is to devote its talent and technology to creating superior products and services that contribute to a better global society. Samsung produces a wide range of electronic devices and is ranked as a top 10 global brand.
San Jose, CA, USA
Experience Level
Desired Skills
Data Analysis
AI & Machine Learning
Hardware Engineering
  • BS + 10 year experience, MS + 8 year of experience, PhD + 5 year experience in Electrical Engineering, Computer Science or related.preferred
  • Strong programming skills in C/C++ and/or Python
  • 3+ years of relevant work or academic research experience in ML/DL compiler and/or platform
  • Hands-on experience with neural networks inference on HW accelerators, GPU or DSP
  • Understanding of PPA (performance, power, and area) trade-offs, flash memory controller architecture and/or general computer architecture is beneficial
  • Self-motivated problem-solver with an ability to work well in a team
  • You're inclusive, adapting your style to the situation and diverse global norms of our people
  • An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding
  • You're collaborative, building relationships, humbly offering support and openly welcoming approaches
  • Innovative and creative, you proactively explore new ideas and adapt quickly to change
  • The Advanced Controller Development (ACD) Lab is part of Samsung's Memory Business Unit, the industry's all-time DRAM and NAND Flash leader both in technology as well as in volume. ACD's vision is to solve critical bottlenecks in Cloud & Data center, Automotive, and even edge-devices by developing new approaches via memory/storage controllers, high-speed interfaces, and advanced architectures. We are an integral part of Samsung's paramount R&D innovation engine. We work closely with cross-disciplinary development teams to bring feature innovation to product roadmaps. Come and join the team that is creating the new paradigm shift from a traditional CPU-centric to Memory-centric computation architectures needed to support emerging machine learning applications, data analytics, and edge computing
  • Location: Hybrid, working onsite at our San Jose, CA or San Diego, CA locations 3 days a week, with the flexibility to work remotely the remainder of your time the remainder of your time
  • Job ID: 41380