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System Performance & AI Architect

icon building Company : Majestic Labs
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Job Description - System Performance & AI Architect

The Mission

As a  System Architect, you will be responsible for the end-to-end performance simulation of our next-generation AI and Graph-computing platforms. You will perform  the quantitative analysis and architectural pathfinding that defines how our systems handle the world’s most complex data-centric workloads, from Trillion-parameter LLMs and Mixture-of-Experts (MoE) to large-scale, irregular Graph Neural Networks (GNNs), and other workloads.

Key Responsibilities

  • System-Level Performance Projection:  develop and execute high-fidelity, system-level performance models that simulate the interaction between compute clusters, Network-on-Chip (NoC), and advanced memory hierarchies (HBM4, CXL).
  • Empirical Profiling & Characterization: Drive deep-dive performance profiling of existing hardware architectures (GPUs, NPUs, and SoCs). Use hardware counters, trace-based analysis, and telemetry to identify real-world bottlenecks in current silicon that inform future architectural iterations.
  • Workload-Architecture Co-Design: Profile frontier AI models and graph analytics to identify deep-system bottlenecks. Translate high-level algorithmic behaviors (e.g., KV cache growth, sparse matrix traversals) into hardware architectural requirements.
  • Memory Subsystem Innovation: Define the strategy for managing the "Memory Wall," optimizing for bandwidth, latency, and power across complex hierarchies and disaggregated memory pools.
  • Architectural Pathfinding: Evaluate and influence the adoption of emerging system technologies. Conduct trade-off analyses that determine the multi-year roadmap for system topology and scalability.
  • AI-Augmented Engineering: Champion an "AI-first" approach to architecture, utilizing machine learning and automation to accelerate simulation throughput and explore massive design spaces.
  • Cross-Functional Technical Leadership: Serve as a primary bridge between Software/Compiler teams and Hardware Implementation, ensuring architectural specifications meet real-world production constraints.

Technical Qualifications

  • Education: PhD in Electrical Engineering, Computer Science, or a related field with a focus on Computer Architecture or High-Performance Systems.
  • Experience: 10+ years of experience in performance modeling and system architecture, with a proven track record at major semiconductor or hyper-scale AI organizations.
  • Expertise in Data-Centric Computing: Deep understanding of Instruction Set Architectures (ISA), Cache Coherence, and Memory Consistency.
  • Expertise in modeling Interconnect Topologies and flow control for distributed AI training and inference.
  • Advanced proficiency in Modern C++ and Python for building sophisticated system-level simulators.
  • Profiling Mastery: Hands-on experience with performance analysis tools (e.g., NSight, ROCm, VTune) and developing custom trace-injection tools to correlate silicon behavior with simulation models.
  • Workload Mastery: Demonstrated ability to characterize and optimize for irregular data-flow patterns common in GNNs, LLMs, and Recommendation Systems.

Professional Leadership

  • Strategic Influence: Experience presenting data-driven architectural recommendations to executive leadership and strategic partners based on a blend of simulation and empirical data.
  • Customer Engagement: Proven ability to translate customer-facing performance requirements into actionable hardware specifications.
  • Technical Mentorship: A history of elevating the technical bar for engineering teams and championing modern, automated engineering workflows.
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About the Company

Majestic Labs

The MissionAs a ;System Architect, you will be responsible for the end-to-end performance simulation of our next-generation AI and Graph-computing platforms. You will perform ; the quantitative analysis and architectural pathfinding that defines how our systems handle the world’s most complex data-...

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