Research Scientist, ML H-W/S-W Codesign

Responsibilities

• Identify and solve multi-discipline ML acceleration problems involving algorithms, network design, hardware architecture, multimodal AI and AR/VR use cases. These may involve novel approaches not yet established in the industry
• Work across hardware and software, to solve co-design problems with other Research scientists working in this area
• Codesign and invent novel ML accelerator and system architecture solutions, and facilitate the integration of algorithms and software to utilize these enhancements
• Develop state-of-the-art model compression and scalability techniques using Numerics, pruning, distillation etc
• Optimize models on hardware accelerators to achieve target performance given various real time latency and power constraints
• Influence partners to adopt recommended solutions through data-driven analysis and clear communication of trade-offs
• Define use cases, and develop methodology & benchmarks to evaluate different approaches
• Apply in-depth knowledge of how the ML acceleration interacts with the other systems around it
• Attend conferences, interpret papers, and stay updated with latest research advancements in the field of ML acceleration; contribute to patents and/or publications in peer-reviewed conferences and journals

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• PhD in Electrical Engineering, Computer Science, or relevant technical field, or equivalent practical experience
• PhD in Electrical Engineering, Computer Science, or equivalent experience
• Experience developing AI-System infrastructure, AI algorithms or AI hardware acceleration in C/C++ or Python

Preferred Qualifications