Senior Staff Engineer, AI Infrastructure

Samsung Electronics

Senior Staff AI Infrastructure Engineer at Samsung architecting platforms for AI-driven silicon development across GPU and system-level design teams. Impacting large-scale simulation and machine learning workflows.

Posted 5/30/2026full-timeSan Jose • California, Texas • 🇺🇸 United StatesSenior💰 $180,200 - $297,200 per yearWebsite

Tech Stack

Tools & technologies

CloudDistributed SystemsDockerKubernetesPythonPyTorchTensorflow

About the role

Key responsibilities & impact

architect and scale foundational platforms that enable AI-driven silicon development across GPU and system-level design teams.
impact how efficiently large-scale simulation, design workflows, and machine learning workloads are executed.
lead the development of distributed, data-intensive infrastructure and data platforms that integrate directly with engineering workflows.
drive cross-functional collaboration with hardware, software, and system teams to integrate AI capabilities.
accelerate scalable model training, data processing, and deployment within the silicon development lifecycle.
architect and deploy scalable AI/HPC infrastructure (on-prem, cloud, or hybrid) optimized for EDA workflows.
develop and operationalize MLOps pipelines for model training, validation, and deployment integrated with semiconductor design and verification flows.
build and manage large-scale data pipelines to ingest, process, and serve engineering datasets.

Requirements

What you’ll need

11+ years of experience with a Bachelor’s degree in Computer Science/Electrical/Engineering or related field, or 9+ years with a Master’s degree, or 7+ years with a Ph.D.
7+ years of expertise in distributed systems, high-performance computing, and infrastructure design at scale.
Strong experience with containerization and orchestration technologies (e.g., Kubernetes, Docker) and workload schedulers (e.g., Slurm, LSF).
Strong proficiency in systems programming language (e.g., Python, C++), with experience building production-grade software and automation.
Hands-on experience deploying and scaling machine learning frameworks (e.g., PyTorch, TensorFlow) and implementing MLOps practices.
Experience with large-scale data processing, storage architectures, and pipeline orchestration.
Excellent analytical and problem-solving skills, with the ability to propose data-driven solutions and execute.
Excellent collaboration and communication skills, with the ability to navigate ambiguity and influence in a fast-paced, global team environment.

Benefits

Comp & perks

medical
dental
vision
life insurance
401(k)
onsite lunch
employee purchase program
tuition assistance (after 6 months)
paid time off
student loan program
wellness incentives

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

distributed systemshigh-performance computinginfrastructure designcontainerizationorchestration technologiessystems programmingmachine learning frameworksMLOpsdata processingpipeline orchestration

Soft Skills

analytical skillsproblem-solving skillscollaboration skillscommunication skillsinfluencenavigating ambiguity