> Markdown version of [/jobs/ext/2027949-machine-learning-engineers](https://www.wearedevelopers.com/jobs/ext/2027949-machine-learning-engineers). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineers - **Company:** Samsung - **Location:** San Jose, CA, United States - **Experience:** Expert - **Salary:** $189,000.0 - $301,000.0 - **Contract:** Temporary contract - **Skills:** Computer-Aided Design, Artificial Intelligence, Systems Engineering, Confluence, JIRA, Computer Engineering, DevOps, Perl (Programming Language), FlexNet Publisher, Job Scheduling, Python (Programming Language), Linux System Administration, Machine Learning, Remote Desktop Services, Tcl (Programming Language), Large Language Models, Information Technology, Slurm, Virtual Agents, Software Version Control - **Published:** August 11, 2026 - **Apply:** https://www.dice.com/job-detail/94c2de56-685a-415d-ad85-5c9cbf729f6d ## About the Role * 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 What We OfferThe pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance. ## Description 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. Location: Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy What You'll Do * EDA design standards and environment enablement - 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 * EDA license contracts, management, and capacity optimization - 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 * EDA design environment and infrastructure roadmap - Define the roadmap and prioritize requirements from design organizations * LSF compute farm buildout and optimization - Cluster architecture design, queue and resource policy definition, job scheduling tuning, utilization-driven performance improvement, and capacity planning * User login environment (Exceed TurboX, ETX) - Build, operate, and establish the user support model * Engineering collaboration and DevOps platforms (Jira, Confluence) - Own governance, upgrades, and migrations * Enterprise R&D software portfolio management - Drive consolidation and standardization, Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community. Enjoy Time Away You'll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge. Care for Family Whatever family means to you, we want to support you along the way-including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies. Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you'll have support no matter where you are. Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Caf and gym, plus virtual classes, make it easier. Embrace Flexibility Benefits are best when you have the space to use them. That's why we facilitate a flexible environment so you can find the right balance for you., At Samsung Semiconductor, we use Artificial Intelligence (AI) tools in the recruitment process to enhance efficiency. However, AI is used as a support tool, not a final decision-maker. All hiring decisions are made by our human recruiting team and hiring managers to ensure every candidate is evaluated fairly and holistically. ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Running Secure Life Science Research at Scale using Hybrid GPU HPC and Kubernetes 🧬](https://www.wearedevelopers.com/videos/100355-running-secure-life-science-research-at-scale-using-hybrid-gpu-hpc-and-kubernetes) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How Much Does a Software Engineer Make? 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