> Markdown version of [/jobs/ext/1241146-senior-staff-engineer-gpu-architect-machine-learning](https://www.wearedevelopers.com/jobs/ext/1241146-senior-staff-engineer-gpu-architect-machine-learning). 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). --- # Senior Staff Engineer, GPU Architect, Machine Learning - **Company:** Samsung - **Location:** San Jose, CA, United States - **Experience:** Expert - **Salary:** $198,200.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, C++ (Programming Language), Computer Programming, Computer Engineering, Middleware, Python (Programming Language), Machine Learning, Performance Tuning, Tensorflow, Systems Integration, Graphics Processing Unit (GPU), Pytorch, Large Language Models, IT Architecture, Information Technology, Ray Tracing - **Published:** July 11, 2026 - **Apply:** https://sec.wd3.myworkdayjobs.com/Samsung_Careers/job/3655-N-1st-St-San-Jose-CA-USA/Senior-Staff-Engineer--GPU-Architect--Machine-Learning_R118452 ## About the Role * 11+ years of experience with a Bachelor's degree in Computer Science/Computer Engineering/relevant technical field, or 9+ years of experience with a Master's degree, or 7+ years of experience with a PhD. * Knowledge of machine learning principles and architectures * Knowledge of computer vision algorithms, AR/VR, and Ray Tracing * Knowledge of computer architectures and performance optimization * Experience with workload analysis and modeling * Strong programming skills in languages such as C++, Python, or similar * Familiarity with LLMs, LVMs, and image classification * Experience with GPU architecture and graphics pipeline * Knowledge of ML frameworks and tools (e.g., TensorFlow, PyTorch) * Ability to write clear and concise technical specifications * Strong analytical and problem-solving skills, with the ability to identify bottlenecks and propose data-driven solutions * Excellent communication and collaboration skills, with the ability to navigate ambiguity in a fast-paced, global team 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 Senior Staff GPU Architect - Machine Learning, you will help lead the design and development of innovative machine learning (ML) solutions for Samsung's premium mobile GPUs. In this high-impact individual contributor role, you will drive architectural innovation at the intersection of GPU and machine learning design to enable efficient execution of large-scale AI models. You will collaborate across hardware, software, and research teams to define new GPU features, analyze workloads, and deliver architectures that advance performance, power efficiency, and scalability for next-generation intelligent computing. * You are passionate about architecting and defining ML-driven hardware features and extensions that integrate seamlessly with the graphics pipeline, advancing GPU performance, power, and functionality for AI workloads. * You enjoy learning about analyzing and modeling representative ML workloads to identify bottlenecks, uncover optimization opportunities, and guide architectural trade-offs that maximize PPA on applications such as LLMs, LVMs, and image classification. * You support design excellence by working on improving middleware and hardware-software integration to optimize GPU architectures for ML workloads-ensuring maximum performance and power efficiency. * You proactively seek cross-functional collaboration with GPU architects, RTL and software engineers, and research teams, to translate ML insights into production-ready GPU designs and influence long-term AI architecture roadmap. * You take initiatives on moderate-to-complex projects and help advance best practices, methodologies by staying ahead of industry trends and emerging technologies. ## Related Videos - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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