Generative AI NPU designer (DE)

讓我們跨越國界，千里來相逢，用AI展翅翱翔，來尋找千載難逢的機會
(Tranxform.com 千逢科技)

Hardware Design

• Generative AI NPU design and hardware architecture
• Memory system design (cache controller, DRAM controller)
• Interconnect/Fabric design
• Low power technology expertise
• High-speed interface design (HW/SW collaboration)
• High-performance virtualization designs

Programming Languages: Strong programming skills in languages like Verilog and possibly high-level languages like C/C++.

Experience in AI/ML: In-depth knowledge of artificial intelligence and machine learning algorithms.

NPU Architecture: Proficiency in designing Neural Processing Unit architectures.

Parallel Processing: Understanding of parallel processing and optimization techniques for neural networks.

Team Collaboration: Effective communication and collaboration skills within a multidisciplinary team.

Problem-solving: Strong analytical and problem-solving skills to address complex design challenges.

Knowledge of Industry Trends: Awareness of the latest trends and advancements in NPU technology and AI hardware.

Results-Driven: A proactive and results-driven mindset, aiming for high-quality outcomes.

Ownership Mentality: Willingness to take ownership and responsibility for the design process.

Adaptability: Ability to adapt to evolving technologies and project requirements.

Advanced Degree: Typically, a relevant advanced degree (Master's or Ph.D.) in Electrical Engineering, Computer Science, or a related field.