Staff Engineer, Static Timing Analysis CAD Engineer

Samsung Electronics•Austin, TX

10d•$151,000 - $226,600

About The Position

Samsung, a world leader in advanced semiconductor technology, is founded on a simple philosophy – the endless pursuit of excellence will create a better world for all. At Samsung Austin Research and Development Center (SARC) and Advanced Computing Lab (ACL), we are building a center of excellence for Intellectual Property (IP) that is applied to high-performance computing devices (mobile, automotive, and other custom market segments) consumed by millions of people around the world. Come build with us! Role and Responsibilities As a Staff Static Timing Analysis (STA) CAD Engineer, you will work on ensuring timing integrity and signoff readiness for Samsung’s next-generation GPU IPs used in premium smartphones and adjacent market segments. In this mid-level individual contributor role, you will collaborate closely with Design and EDA partners to develop and implement automation and methodologies for timing analysis that ensure convergent strategies for complex advanced node designs. You bring curiosity, hands-on STA expertise, a solid understanding of ASIC design flows, and a collaborative mindset to apply sound methodology and deliver high-quality timing closure across functional and test modes. You provide creative solutions utilizing software and hardware expertise to support the needs of STA design teams with complex timing environments. You support STA teams by providing automation that simplifies execution, reduces mistakes, and improves user efficiency. You understand the details of the STA methodologies so that you can effectively test and debug unexpected issues that arise with new technology node bring up. You contribute to technical excellence by applying and help influencing STA methodologies and sign-off flows, leveraging industry-standard tools and exploring best practices—including POCV, multi-corner analysis, and low-power constraints—to improve timing quality, convergence, and predictability. You take initiatives on moderate-to-complex projects, communicating openly, documenting analysis and results, demonstrating strong ownership and continuous learning mindset by staying ahead of emerging technologies. You utilize AI in your work and apply it to improve your efficiency with your daily engineering tasks. Our Team The Advanced Design Technology and Design Implementation teams play a critical role in driving technology development across Samsung System LSI business. Operating at the intersection of design technology and physical implementation, we engage with Foundry partners from early-phase technology exploration through the full design lifecycle. Our teams span advanced design process and methodology development, GPU physical design and implementation, CAD, and DTCO—accelerating adoption of advanced technology nodes and enabling market-differentiating power, performance, and area (PPA), silicon reliability, and design turnaround time for GPU and system-level IP solutions. You will join a diverse, highly collaborative organization working across concurrent-development cycles, with direct impact on consumer technologies used worldwide. Here you’ll help build what’s next, experiment with new ideas and explore different GPU development verticals, broaden technical expertise, and solve impactful challenges in a supportive environment that values collaboration, continuous learning, and growth.

Requirements

6+ years of experience with a Bachelor’s Degree in Computer Science/Engineering, or 4+ years of experience with a Master’s Degree, or 2+ years of experience with a Ph.D.
Solid understanding and hands-on experience with ASIC design flows and electrical engineering fundamentals.
Working knowledge and experience with POCV, derating methodologies, and timing analysis.
Strong hands-on experience with industry-standard STA tools (e.g. PrimeTime, Tempus).
Solid hands-on experience with clock tree synthesis (CTS), multi-voltage and multi-clock designs.
Working knowledge of formal equivalency checks, low-power checks, timing constraints, UPF.
Strong scripting /programming skills in Tcl, Perl, Shell, and/or Python.
Strong analytical skills, attention to detail, and problem-solving skills using data-driven approach.
Excellent written and verbal communication skills for documenting designs, methodologies, and best practices.
Excellent collaboration skills, with the ability to navigate ambiguity and maintain ownership in a fast-paced, global team environment.

Nice To Haves

Familiarity with advanced FinFET process nodes (5nm or smaller).
Hands-on experience with synthesis, block and/or full chip implementation with the latest industry P&R/STA flows and tools.
Sign-off experience with reliability, signal integrity, noise, timing, power, physical and DFM closure.
Experience with Voltage drop analysis and how it affects STA
Hands on experience with developing AI based tools to assist with STA related tasks and data analysis.

Responsibilities

Ensuring timing integrity and signoff readiness for Samsung’s next-generation GPU IPs
Collaborating closely with Design and EDA partners to develop and implement automation and methodologies for timing analysis that ensure convergent strategies for complex advanced node designs
Applying sound methodology and deliver high-quality timing closure across functional and test modes
Providing creative solutions utilizing software and hardware expertise to support the needs of STA design teams with complex timing environments
Supporting STA teams by providing automation that simplifies execution, reduces mistakes, and improves user efficiency
Effectively test and debug unexpected issues that arise with new technology node bring up
Applying and help influencing STA methodologies and sign-off flows, leveraging industry-standard tools and exploring best practices—including POCV, multi-corner analysis, and low-power constraints—to improve timing quality, convergence, and predictability
Taking initiatives on moderate-to-complex projects, communicating openly, documenting analysis and results, demonstrating strong ownership and continuous learning mindset by staying ahead of emerging technologies
Utilizing AI in your work and apply it to improve your efficiency with your daily engineering tasks