Senior Staff Engineer, CAE Infrastructure & R&D Software

Samsung Semiconductor•San Jose, CA

4d•Onsite

About The Position

Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future. We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities. About the Role We are seeking a Senior Staff Engineer to build and optimize the EDA design environment and large-scale compute infrastructure that supports our semiconductor design organizations, and to establish company-wide standards and processes for EDA licensing and R&D software. In this role, you will design and standardize the shared design environments and infrastructure used across multiple design organizations, driving engineering productivity and cost efficiency at scale. Samsung DSA has launched a new AI initiative to build the foundational capabilities for practical, agentic AI systems. The AI Innovation team is the driving force behind this vision, leading innovation at the intersection of machine learning and system engineering to develop and operate our next-generation Agentic AI framework. We aim to enable LLMs to autonomously plan, retrieve information, coordinate with tools, and execute multi-step workflows across our internal knowledge ecosystem. We are actively seeking talented Machine Learning Engineers specializing in building next-generation AI/ML solutions.

Requirements

BS/MS in Electrical Engineering, Computer Engineering, Computer Science, or a related field
15+ years in CAD/CAE, EDA infrastructure, or engineering IT within semiconductor design environments
Experience building and operating EDA design environments and providing technical support to design organizations
Experience with EDA license contract management, license server operations, and utilization-based capacity optimization
Experience building and operating large-scale compute farms with IBM LSF (or SLURM, Grid Engine) and tuning job scheduling
Experience deploying and operating remote desktop / user login environments (Exceed TurboX, VNC, X11)
Hands-on large-scale Linux system administration experience
Working knowledge of license management systems (FlexLM/FlexNet) and the major EDA tool ecosystems (Cadence, Synopsys, Siemens)
Automation and scripting proficiency in Python, Perl, Tcl, or shell
Track record of establishing and rolling out standards and processes across multiple organizations

Responsibilities

Define standard processes and guidelines for design flow onboarding, tool qualification, and version control; set up, deploy, operate, and provide technical support for the EDA tool environments used by design organizations
Lead vendor relationship management and contract negotiations and renewals; determine appropriate license quantities through utilization monitoring and demand forecasting; optimize cost by identifying and reallocating idle licenses; own the architecture and operation of license servers
Define the roadmap and prioritize requirements from design organizations
Cluster architecture design, queue and resource policy definition, job scheduling tuning, utilization-driven performance improvement, and capacity planning
Build, operate, and establish the user support model
Own governance, upgrades, and migrations
Drive consolidation and standardization