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GPU/AI Application Platform Architect - San Jose
San Jose, California · Full-time · Posted Oct 28, 2026
- Experience
- 3 years experience is preferred.
- Education
- Master’s degree or higher in Electrical Engineering, Computer Engineering, Computer Science or related majors.
- Visa sponsorship
- Candidates must have a valid passport and be able to obtain the necessary visas for international travel, up to four times per year.
About the job
Architects and evaluates GPU/AI platforms for LLM applications, optimizing system performance and cost and exploring new technologies and designs.
What you'll do
- Evaluate, test, and integrate GPU/AI technologies and assess GPU system performance on LLM applications.
- Drive platform customization, performance optimization, architecture exploration, and new technology solutions.
- Collaborate with partners, suppliers, industry consortiums, and standards committees on prototypes, research, and emerging technologies.
What they ask for
- Master’s degree or higher in Electrical Engineering, Computer Engineering, Computer Science or related majors.
- Deep understanding of computer system architecture, particularly GPU/AI SoC or platform architecture, interconnect fabric, and memory subsystems.
- Experience in GPU/AI application performance optimization or software-hardware co-design; understanding of LLM architecture and accelerator, memory, and network requirements for training and inference.
- Understanding of GPU/AI virtualization, deep learning architecture, and distributed systems.
Nice to have
- 3 years experience in GPU/AI LLM platform architecture and/or application performance optimization design or software hardware co-design.
- Demonstrated experience working collaboratively with cross-functional teams.
Tools
GPU, AI, LLM
AI focus
Evaluates and optimizes GPU/AI platforms for LLM training and inference, including application performance and hardware-software co-design.
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