Senior Staff Engineer, AI Infrastructure at Samsung - ScoutJobs - The AI-curated global job board
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Posted 6 days ago

Senior Staff Engineer, AI Infrastructure

SamsungSenior Staff Engineer, AI Infrastructure

Perks & benefits

Health InsuranceMedical InsurancePaid LeaveRelocation AllowanceVisa

Requirements

11+ years experience with Bachelor's, 7+ years expertise in distributed systems, Proficiency in Python or C++, Experience with Kubernetes and Docker, Experience with PyTorch or TensorFlow, Experience with Slurm or LSF

Skills

AIKubernetesPythonPyTorchMLOpsDistributed Systems

About the role

Responsibilities

  • Architect and deploy scalable AI/HPC infrastructure (on-prem, cloud, or hybrid) optimized for EDA workflows and large-scale machine learning workloads.
  • Develop and operationalize MLOps pipelines for model training, validation, and deployment integrated with semiconductor design flows.
  • Build and manage large-scale data pipelines to ingest and process engineering datasets such as simulation logs and silicon telemetry.
  • Drive adoption of AI-enabled workflows to optimize GPU cluster and accelerator utilization through advanced scheduling and orchestration.
  • Mentor junior engineers and foster a culture of technical excellence and innovation.

Requirements

  • 11+ years of experience with a Bachelor’s degree, 9+ years with a Master’s, or 7+ years with a Ph.D. in Computer Science, Electrical Engineering, or a related field.
  • 7+ years of expertise in distributed systems, high-performance computing, and infrastructure design at scale.
  • Proficiency in systems programming languages such as Python or C++.
  • Hands-on experience with containerization and orchestration (Kubernetes, Docker) and workload schedulers (Slurm, LSF).
  • Experience deploying and scaling machine learning frameworks like PyTorch or TensorFlow.
  • Experience with large-scale data processing, storage architectures, and pipeline orchestration.

Preferred Qualifications

  • Working knowledge of semiconductor design workflows and EDA tools.
  • Experience with high-performance interconnects such as PCIe, NVLink, or InfiniBand.
  • Experience in GPU physical design, design verification, or CAD environments.

Benefits

  • Competitive base salary range ($180,200 - $297,200) plus MBO bonus compensation.
  • Comprehensive medical, dental, vision, and life insurance.
  • 401(k) and student loan programs.
  • Tuition assistance, wellness incentives, and employee purchase programs.
  • Paid time off and onsite lunch options.

About the Company

Samsung is a global leader in advanced semiconductor technology and consumer electronics. Through the Samsung Austin Research and Development Center (SARC) and Advanced Computing Lab (ACL), we build high-performance computing solutions and intellectual property that power millions of devices worldwide.

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Senior Staff Engineer, AI Infrastructure

Samsung · San Jose

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