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# Senior Engineer, AI/ML and Infrastructure

- **Company:** Samsung
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Salary:** $124,000.0 - $208,400.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Computer-Aided Design, Agile Methodology, Artificial Intelligence, Data Analysis, C++ (Programming Language), Computer Programming, Computer Engineering, Software Debugging, DevOps, Programming Tools, Python (Programming Language), Machine Learning, Software Engineering, Systems Architecture, Application Specific Integrated Circuits, Generative AI, Information Technology, Power Analysis (Cryptography), Data Analytics, Code Inspection, Mentor Graphics, Physical Design, Programming Languages
- **Published:** June 3, 2026
- **Apply:** https://sec.wd3.myworkdayjobs.com/Samsung_Careers/job/3900-N-Capital-of-Texas-Hwy-Austin-TX-USA/Senior-Engineer--AI-ML-and-Infrastructure_R117621

## About the Role

* 2+ years of experience with a Bachelor's Degree in Computer Science, Computer Engineering, or relevant field, or completion of a Master's Degree or Ph.D.
 * Experience in software development, physical design, system architecture, or related engineering domain with a focus on scalability, automation, and process improvement
 * Good programming skills in Python, C++, Java, or similar programming language
 * Familiarity with software development methodologies such as Agile or DevOps and experience with modern development tools and workflows
 * Working knowledge of low-power tools and methodologies, including RTL and gate-level power analysis, optimization, and signoff flows (e.g., PrimePower, PowerArtist, Empower, Joules, RTL-Architect, or equivalent)
 * Understanding of end-to-end ASIC design flows, including RTL, verification, synthesis, physical design, timing, power, and DTCO concepts
 * Familiarity with industry-standard CAD tools for simulation, synthesis, linting, and verification (e.g., Synopsys, Cadence, Mentor Graphics)
 * Strong analytical skills, attention to detail, and problem-solving skills using data-driven approach.
 * Excellent collaboration and communication skills, with the ability to navigate ambiguity and maintain ownership in a fast-paced, global environment., 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.

## Description

As a GPU Design Technology Infrastructure Engineer, you will contribute to the development of scalable infrastructure and automation solutions that enable Samsung's next-generation GPU and system-level IP development.

In this individual contributor role, you will support infrastructure, orchestration, and data-driven engineering solutions that enable design and CAD teams to execute complex workflows more efficiently. You will collaborate closely with software, CAD, IT, and advanced design technology teams to improve compute utilization, workflow automation, and AI/ML-driven engineering capabilities that enhance engineering productivity across the design development pipeline.

 * Contribute to development of scalable infrastructure and workflow orchestration solutions that improve engineering productivity and enable efficient execution of design and CAD workflows across multi-site development environments.
 * Support automation and data analysis initiatives that improve compute, storage, and licensing utilization while enabling broader access to engineering data and workflow insights across design technology teams.
 * Help develop modern, vendor-agnostic debug, analysis, and execution capabilities that improve visibility into design processes and support future AI/ML and Generative AI-driven engineering solutions.
 * Collaborate with CAD, IT, and advanced design technology teams to support methodology improvements across ASIC design flows, including RTL, verification, synthesis, physical design, timing, and power analysis workflows
 * Contribute to AI/ML-driven engineering initiatives and support legacy infrastructure solutions to improve workflow automation, scalability, and optimization efficiency across GPU and system-level IP development.


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