R&D Engineer for AI/ML Workloads

Drive innovation in AI as an R&D Engineer. Collaborate with teams to design groundbreaking workloads on next-gen wafer-scale hardware, focusing on performance benchmarks and algorithm-hardware co-design. Join a pioneering Advanced Technology Group dedicated to exploring new architectures and performance breakthroughs in AI and scientific computing. This role demands a strong foundation in computer architecture, AI/ML theory, and performance modeling. You'll interface with a dynamic team, ensuring that cutting-edge capabilities are turned into measurable results in the field of AI and high-performance computing. Key Responsibilities: • Design advanced scientific computing and AI workloads • Lead co-design efforts with internal and external teams • Build models to quantify and guide performance optimization • Contribute to long-term technology roadmap initiatives • Publish findings in top-tier conferences and journals Requirements: • PhD in Computer Science, Engineering, or relevant field preferred • Deep experience in computer architecture or AI/ML • Strong analytical modeling and optimization skills • Track record of publications or patents recommended • Proficiency in C and Python with hardware experience Shape the future of AI with innovative design and deep technical expertise, transforming benchmarks and pushing the limits of what's possible.