Senior Engineer, AI/ML and Infrastructure

Samsung Electronics

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$124,000–$208,400 / yr
Posted
2 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $211k
This role $166k
$108k most similar roles pay here $276k

This role pays less than 77% of similar roles. Most pay $175,000–$246,150 — the shaded band above. At the midpoint, this role pays about $166k versus about $211k for comparable roles.

Based on 240 similar postings.

Employer

About Samsung Electronics

Samsung Electronics is a South Korean multinational corporation and a global leader in technology, specializing in consumer electronics, semiconductors, and home appliances.

Samsung Electronics currently has 30 open roles on FindRole.

Listed pay typically runs $175,000–$225,000 across 27 roles with salary data.

Most-posted roles

View all roles at Samsung Electronics

At a glance

TL;DR · Senior Engineer, AI/ML and Infrastructure

As a GPU Design Technology Infrastructure Engineer at Samsung SARC/ACL, you will join the Advanced Design Technology and Design Implementation teams to develop scalable infrastructure and automation solutions that enhance engineering productivity for next-generation GPU and system-level IP development. Your day-to-day responsibilities include supporting workflow orchestration, improving compute utilization, and enabling broader access to engineering data through AI/ML-driven initiatives. You will collaborate with software, CAD, IT, and advanced design technology teams to optimize ASIC design flows across multi-site environments. The ideal candidate has 2+ years of experience in a relevant field, proficiency in Python, C++, or Java, and familiarity with industry-standard CAD tools like Synopsys and Cadence. Strong analytical skills and the ability to work in a fast-paced, global environment are essential as you contribute to methodology improvements and support legacy infrastructure solutions that drive efficiency across complex design development pipelines.

What you'll do

  • Develop scalable infrastructure to enhance engineering productivity in multi-site environments.
  • Support automation and data analysis initiatives to optimize compute and storage utilization.
  • Help create modern debug and analysis capabilities for improved visibility into design processes.
  • Collaborate with CAD, IT teams to improve methodology across ASIC design flows.
  • Contribute to AI/ML-driven engineering solutions to automate and optimize workflows.

What we're looking for

  • 2+ years of experience in software development or related engineering domain with a focus on scalability and automation.
  • Strong programming skills in Python, C++, Java, or similar languages.
  • Familiarity with Agile or DevOps methodologies and modern development tools.
  • Understanding of end-to-end ASIC design flows including RTL, verification, synthesis, physical design, timing, power analysis.
  • Experience with industry-standard CAD tools for simulation, synthesis, linting, and verification (e.g., Synopsys, Cadence).
  • Strong analytical skills and problem-solving abilities using a data-driven approach.
  • Excellent collaboration and communication skills in a fast-paced global environment.

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