Samsung
Senior Staff Engineer, GPU Architect, Machine Learning
$180K–$297K
3655 N 1st St, San Jose, CA, USA · On-site · Senior Staff · Full-time · Posted Oct 9, 2026
- Experience
- 10+ years with a Bachelor’s Degree, or 8+ years with a Master’s Degree, or 6+ years with a Ph.D.
- Education
- Bachelor’s Degree in Computer Science/Engineering, Master’s Degree, or Ph.D.
- Visa sponsorship
- Applicants must be authorized to access information subject to U.S. export control laws or eligible for government authorization.
About the job
Architect machine-learning features and next-generation mobile GPU designs to improve AI workload performance, power efficiency, and scalability.
What you'll do
- Define ML-driven GPU hardware features and analyze and model workloads to guide architectural trade-offs.
- Improve middleware and hardware-software integration for ML workloads.
- Collaborate across hardware, software, and research teams to deliver GPU designs and shape the AI architecture roadmap.
What they ask for
- Knowledge of machine learning principles and architectures, computer architectures, and performance optimization.
- Experience with workload analysis and modeling, and GPU architecture and graphics pipelines.
- Strong programming skills in C++, Python, or similar; ability to write clear technical specifications.
- Knowledge of computer vision algorithms, AR/VR, and Ray Tracing.
Nice to have
- Familiarity with LLMs, LVMs, and image classification.
- Knowledge of ML frameworks and tools such as TensorFlow or PyTorch.
Pay
$180,200 and $297,200 USD base salary
Tools
C++, Python, TensorFlow, PyTorch, LLMs, LVMs, Ray Tracing
AI focus
Architect GPU hardware features and optimize GPU architectures for machine-learning and AI workloads, including LLMs, LVMs, and image classification.
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