Expert / Principal Researcher – Next-Gen AI Accelerator Architecture

Expert / Principal Researcher – Next-Gen AI Accelerator Architecture
Your Responsibilities:
Lead research and design-space exploration of novel AI accelerator architectures, with a focus on breakthrough concepts such as wafer-scale integration, near-data processing, and 3D-stacked memory.

• Drive the joint optimization of hardware, software, and algorithms, ensuring seamless co-design to maximize performance, efficiency, and scalability for current and emerging AI workloads.
• Analyze and integrate state-of-the-art algorithmic advancements—including prefill/decode disaggregation, speculative decoding, and quantization—into architectural proposals.
• Prototype, simulate, and evaluate new architectural ideas, collaborating closely with cross-functional teams to align innovations with real-world deployment needs.
• Communicate research findings and recommendations through technical reports, presentations, and contributions to intellectual property.

Your Background

• You hold a PhD and have since accumulated several years of research experience in computer architecture or a closely related field. Alternatively, you may bring extensive industry experience.
• Proven track record in hardware architecture research, particularly in the context of AI accelerators, high-performance computing, or advanced memory systems (e.g., wafer-scale, near-data processing, 3D-stacked memory).
• Deep understanding of the interplay between hardware, software, and algorithms, with hands-on experience in co-optimizing these layers for real-world AI workloads.
• Strong familiarity with state-of-the-art AI models and algorithmic trends, including transformer architectures, diffusion models, quantization, and workload-specific optimizations.
• Demonstrated ability to lead complex research projects, from ideation and design-space exploration to prototyping, simulation, and performance analysis. You are capable of pragmatically move forward with uncertain information on future workloads and technological capabilities.
• Excellent collaboration skills, with experience working in multidisciplinary teams and communicating effectively with both technical and non-technical stakeholders.
• Strong publication record in top-tier conferences or journals, and/or a history of impactful patents or technology transfers.
• Passion for innovation, curiosity for emerging technologies, and a drive to shape the future of AI hardware.