Staff Engineer, GPU Front-End Infrastructure/ Methodology

Position Summary 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 GPU Front-End Implementation Methodology Engineer, you will shape and advance the front-end implementation methodologies that underpin high-quality, scalable RTL across complex GPU and SoC designs. Working as a mid-to-senior individual contributor, you will serve as a key enabler for design and verification teams — helping them work faster, with greater confidence, and at scale. You will partner closely with architecture, verification, CAD, and physical design groups to define and uphold best practices, design guidelines, and quality standards that align with high-performance and low-power goals. You will own and evolve the RTL flow and build system, including support for an agentic AI workflow, and contribute to a broader portfolio of software initiatives: the RTL CI/CD system, operational metrics collection and reporting, custom web application development, and open-source tool provisioning. In this role, you will: Empower design and DV teams to work efficiently by removing friction from front-end workflows and proactively addressing methodology gaps Drive front-end RTL implementation methodologies for GPU and SoC designs, ensuring scalability, architectural alignment, and adherence to performance and power objectives Take ownership of moderate-to-complex projects, leading efforts to advance best practices and staying ahead of industry trends and emerging technologies Skills and Qualifications 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. Hands-on experience designing and building agentic AI tools and workflows Proficiency across a broad range of Unix/Linux programming languages, including Python, C++, Perl, Ruby, Go, and shell scripting Deep Linux system expertise, including debugging complex system-level issues Solid background in DevOps practices, build automation, and build systems, including GNU Make Experience with containerized environments and orchestration platforms, including Docker, Kubernetes, and OpenShift Strong analytical and problem-solving skills with a methodical approach to debugging Excellent written and verbal communication skills, with a track record of producing clear technical documentation, design specs, and methodology guides Proven ability to collaborate effectively across global, cross-functional teams and thrive in fast-paced, ambiguous environments Familiarity with RTL design concepts and testbench environments is a plus Our Team The GPU Project and RTL team at SARC/ACL owns the microarchitecture development of features for Samsung’s current and next-generation mobile GPU IPs. Our work spans core RTL design, front-end implementation, and the infrastructure needed to deliver scalable, production-ready designs. Through cross-functional collaboration, we translate architectural concepts into high-quality RTL that delivers market-differentiating performance and energy efficiency. Our Xclipse GPU is the industry’s first mobile GPU with hardware ray tracing technology, enabling console-level graphics on Samsung Galaxy smartphones. 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. Total Rewards At Samsung – SARC/ACL, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $151,000 and $226,600. Your actual base pay will depend on variables that may include your education skills, qualifications, experience, and work location. Samsung employees have access to benefits including: medical, dental, vision, life insurance, 401(k), onsite lunch, employee purchase program, tuition assistance (after 6 months), paid time off, student loan program, wellness incentives, and many more. In addition, regular full-time employees (salaried or hourly) are eligible for MBO bonus compensation, based on company, division, and individual performance. Additionally, this role might be eligible to participate in long term incentive plan and relocation. This is an exempt position, which is not eligible for overtime pay under the Fair Labor Standards Act (FLSA). Trade Secrets By submitting an application, you agree not to disclose to Samsung or induce or encourage Samsung to use any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity. U.S. Export Control This role may require access to information subject to U.S. export control laws. Applicants must be authorized to access such information or eligible for government authorization. #SARC #ACL * Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here . * Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.