AI Architectural Modeling Engineer
il y a 4 semaines
FlexAI is seeking a skilled and innovative Senior Architectural Modeling Engineer to join our team and contribute to the design, development, and optimization of architectural models at the chip, system, and cluster levels for our AI compute systems.
As a Senior Architectural Modeling Engineer, you will play a crucial role in collaborating with hardware engineers, software developers, system architects, and application specialists to ensure that the architectural models provide valuable insights into performance, power consumption, and design optimization.
Key Responsibilities:
- Design and develop architectural models for FlexAI's purpose-built AI compute systems.
- Collaborate with hardware and software teams to define model requirements and design constraints.
- Optimize architectural models for efficient execution, ensuring fidelity with real systems within predefined tolerance levels.
- Integrate workloads and the FlexAI software stack on top of architectural models to enable software development prior to hardware availability.
- Conduct performance analysis and profiling of architectural models, identifying potential bottlenecks and areas for optimization.
Requirements:
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related technical field.
- 8+ years of experience in architectural modeling or simulation platforms, preferably with experience in AI or high-performance computing projects.
- Strong understanding of system-level challenges in AI compute systems, including network bandwidth, memory, and thermal considerations.
- Proficiency in C and C++ for high-performance SW development and Python for handling machine learning workloads and related tasks.
- Hands-on experience in performance analysis, profiling tools, and model validation techniques.
- Strong analytical and problem-solving skills, with a focus on identifying and solving complex system-level challenges.
- Excellent collaboration and communication skills to work effectively across hardware, software, and systems teams.
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