Senior Staff Engineer, GPU Architect, Machine Learning
Samsung SemiconductorSan Jose, CA · full time · Senior Staff
$198,200 – $297,200
Listed on Samsung Semiconductor’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Samsung is seeking an experienced GPU architect to design machine learning accelerators for mobile devices, bridging hardware innovation with AI workload optimization. This role suits engineers with deep expertise in GPU microarchitecture who want to influence the next generation of mobile AI performance.
Our summary, not Samsung Semiconductor’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- 11+ years of experience with a Bachelor's degree in Computer Science or Computer Engineering (or equivalent education/experience combination)
- Knowledge of machine learning principles and architectures
- Knowledge of GPU architecture and graphics pipeline
- Experience with workload analysis and modeling
- Strong programming skills in C++, Python, or similar languages
- Ability to write clear technical specifications
- Strong analytical and problem-solving skills
- Excellent communication and collaboration skills
Nice to have
- Knowledge of computer vision algorithms, AR/VR, and Ray Tracing
- Familiarity with LLMs, LVMs, and image classification
- Experience with ML frameworks and tools like TensorFlow or PyTorch
- Knowledge of computer architectures and performance optimization