Samsung Semiconductor

Samsung Semiconductor

Quick summary

Work type
On-site
Location
San Jose, CAAustin, TXWashingtonDetroit, MI
Posted
12 days ago
Nearby
99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $190k
$139k most similar roles pay here $230k

This listing doesn't post a salary. Most similar roles pay $159,250–$220,000.

Based on 238 similar postings.

Employer

About Samsung Semiconductor

Samsung Semiconductor is the global semiconductor business unit of Samsung Electronics, designing and manufacturing memory chips, logic semiconductors, and foundry solutions for a broad range of applications.

Samsung Semiconductor currently has 59 open roles on FindRole.

Listed pay typically runs $163,000–$253,000 across 51 roles with salary data.

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At a glance

TL;DR · Samsung Semiconductor

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The position of Staff Engineer at Samsung Semiconductor's AGI Computing Lab in San Jose, California, involves working closely with a team of experts to develop and optimize AI software solutions. Day-to-day responsibilities include designing, implementing, and testing compiler tools for high-performance computing systems, requiring proficiency in C++, Python, and knowledge of machine learning frameworks like TensorFlow or PyTorch. Candidates should have experience in low-level system programming and be familiar with hardware-software co-design principles to address the complex challenges of scaling AI applications on semiconductor devices.

Skills

C++, Python RHEL Linux Verilog SystemVerilog VHDL Perl TCL Git CI/CD Docker Jenkins Python PostgreSQL SQLite AWS Kubernetes Ansible Prometheus Grafana

What you'll do

  • Develop and optimize performance architecture for semiconductor systems.
  • Design and implement AI software solutions for advanced computing platforms.
  • Conduct design verification to ensure system reliability and functionality.
  • Create RTL memory-centric designs for high-performance computing applications.
  • Compile code and develop tools to enhance compiler efficiency and performance.

What we're looking for

  • Extensive experience in semiconductor design and verification
  • Proficiency in AI software development and system architecture
  • Expertise in RTL memory-centric computing and FPGA engineering
  • Strong background in compiler optimization and high-speed I/O circuits
  • Experience in firmware, SSD qualification, and thermal engineering

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