Technical Lead – AI and Computing Systems

Technical Lead – AI & Computing Systems Architecture

Position Overview

A leading research organization is seeking a Technical Lead in AI & Computing Systems to drive innovation in next-generation computing architectures.

This role focuses on advancing system-level design for AI workloads, including accelerators, general-purpose processors, and full-stack computing frameworks. The position combines deep technical expertise with strategic vision, requiring the ability to lead research directions, deliver breakthroughs, and influence long-term architecture evolution.

Key Responsibilities

Technical Leadership

• Define and lead the technical direction for next-generation computing architectures.
• Identify key research challenges in AI-driven systems and guide exploration of innovative solutions.
• Drive advancements in system efficiency, scalability, resilience, and cost-effectiveness.

Innovation & Architecture Development

• Lead the development of advanced techniques in:
  • Architecture design and performance analysis
  • Workload modeling and computational mapping
  • Design space exploration and optimization
• Develop and utilize tools and methodologies for evaluating architectural trade-offs.
• Contribute to innovations in:
  • Microarchitecture design
  • Interconnects and system integration
  • Advanced packaging and thermal management
  • Reliability and redundancy mechanisms

Strategic Problem Solving

• Prioritize technical challenges based on impact on system performance and competitiveness.
• Define strategies to achieve scalable, production-ready breakthroughs.
• Ensure feasibility and practical applicability of proposed solutions.

Collaboration & Technical Influence

• Act as a technical authority within the organization.
• Communicate complex ideas clearly across internal teams, stakeholders, and external forums.
• Collaborate with global research and engineering teams to influence architecture roadmaps.

Research & Knowledge Advancement

• Stay at the forefront of global research trends in computing systems and AI.
• Generate high-impact outputs such as:
  • Prototypes
  • Publications
  • Patents
• Integrate emerging technologies and best practices into ongoing research efforts.

External Engagement

• Build partnerships with academic institutions and industry collaborators.
• Represent the organization in the broader scientific and technical community.
• Contribute to thought leadership in computing architecture.

Required Qualifications

• PhD in Computer Science, Electrical Engineering, or a related field.
• Strong track record in advanced computing architecture, particularly for AI-driven systems.
• Minimum of 5 years of experience in research and development in computing architecture.
• Demonstrated ability to identify key challenges and deliver innovative solutions.
• Experience with AI technologies such as:
  • Large language models
  • Foundation models
  • Multimodal systems
  • Other advanced computing applications (e.g., HPC, graphics, cryptography, emerging computing paradigms)
• Strong publication record and/or significant patent contributions.
• Excellent communication and collaboration skills.

Preferred Qualifications

• Experience in microarchitecture, SoC, hardware platforms, and memory system design.
• Proficiency in workload analysis and hardware–software co-design.
• Knowledge of semiconductor design and manufacturing processes, including packaging technologies.

Personal Attributes

• Visionary thinker with strong technical leadership capabilities.
• Ability to bridge research innovation and real-world system implementation.
• Strong analytical and problem-solving skills.
• Collaborative mindset across multidisciplinary teams.
• High level of ownership and accountability for technical outcomes.