Senior Staff Engineer, AI Infrastructure

Position Summary

Samsung, a world leader in advanced semiconductor technology, is seeking a Senior Staff AI Infrastructure Engineer to architect and scale foundational platforms for AI-driven silicon development. This role impacts the efficiency of large-scale simulation, design workflows, and machine learning workloads, accelerating the development, validation, and optimization of Samsung's next-generation IPs.

Role And Responsibilities

• Architect and scale AI/HPC infrastructure (on-prem, cloud, or hybrid) optimized for EDA workflows, large-scale simulation, and machine learning workloads.
• 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, accelerating scalable model training, data processing, and deployment within the silicon development lifecycle.
• Leverage expertise in one or more technical areas to develop and operationalize MLOps pipelines for model training, validation, and deployment integrated with semiconductor design and verification flows.
• Elevate technical excellence by building and managing large-scale data pipelines to ingest, process, and serve engineering datasets (e.g., simulation logs, waveform data, layout, silicon telemetry).
• Drive adoption of AI-enabled workflows across hardware, software, and system teams to optimize GPU cluster and accelerator utilization through advanced scheduling, orchestration, and system-level tuning.
• Mentor junior engineers, foster a culture of ownership and innovation, and stay ahead of emerging AI/ML technologies for high-performance computing.

Skills And Qualifications

• 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.

Preferred qualifications

• Working knowledge of semiconductor design workflows and EDA tools.
• Experience with high-performance interconnects (e.g., PCIe, NVLink, InfiniBand) or accelerator-based systems.
• Working knowledge in GPU physical design, design verification, or CAD environments.

Total Rewards

Total rewards at Samsung – SARC/ACL include base pay, MBO bonus compensation, participation in long-term incentive plans, and various benefits such as medical, dental, vision, life insurance, 401(k), onsite lunch, employee purchase program, tuition assistance, paid time off, student loan program, wellness incentives, and relocation support. This is an exempt position, not eligible for overtime under the Fair Labor Standards Act (FLSA).

U.S. Export Control

This position requires the ability to access information subject to U.S. export control restrictions. Applicants must have the ability to access export-controlled information or be eligible to receive a government authorization to access export-controlled information.

Trade Secrets

By submitting an application, you agree not to disclose to Samsung, or induce Samsung to use, any confidential or proprietary information (including trade secrets) belonging to any current or previous employer or other person or entity.