AI Systems Performance Modeling Architect

Velaura; Santa Clara (CA); On-site; USD 200,000 - 500,000; Full time

Job summary

Velaura in Santa Clara is seeking a Performance Modeling Architect to develop modeling and simulation frameworks guiding architectural decisions for AI compute platforms. You will model interactions between AI workloads, software stacks, and hardware, enabling evaluation of system‑level tradeoffs.

The role collaborates with hardware, software, and ML teams to quantify performance, latency, scalability, and energy efficiency, shaping next‑generation compute architectures and opportunities for

Qualifications

• Strong background in computer architecture and performance modeling.
• Experience building simulation or analytical models of complex hardware systems.
• Strong programming skills in Python or C++ for modeling and simulation.
• Understanding of CPUs, GPUs, or AI accelerators and how to identify bottlenecks.
• Ability to translate models into architectural insights.

Responsibilities

• Develop system‑level performance models for AI workloads and compute architectures.
• Build simulation frameworks capturing interactions between AI models, software runtimes, and hardware systems.
• Model components of SoC architecture including compute units, memory hierarchies, and interconnects.
• Incorporate software and runtime behavior into modeling frameworks to reflect realistic execution.
• Analyze system bottlenecks and evaluate architectural tradeoffs across the platform.
• Collaborate with hardware architects to guide microarchitectural and system‑level design decisions.
• Work with software and ML teams to incorporate realistic workloads into modeling frameworks.
• Use modeling and simulation to evaluate performance, latency, throughput, and energy efficiency.

Skills

Performance modeling

System architecture

Simulation frameworks

Python

C++

Compute architectures

Bottleneck analysis

Tools

Architectural simulators

Performance modeling tools

Job description

Velaura in Santa Clara is seeking a Performance Modeling Architect to develop modeling and simulation frameworks guiding architectural decisions for AI compute platforms. You will model interactions between AI workloads, software stacks, and hardware, enabling evaluation of system‑level tradeoffs.

The role collaborates with hardware, software, and ML teams to quantify performance, latency, scalability, and energy efficiency, shaping next‑generation compute architectures and opportunities for