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Performance Modeling Architect – AI Systems

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Velaura AI

Velaura AI develops ultra-low-power compute technology for cloud, edge, and physical AI applications. It also offers Teraflux Bitcoin mining hardware, fleet-management software, and related support for mining operators.

Santa Clara, USA
About Velaura AI

Velaura AI is a semiconductor and technology company that provides patented ultra-low-power silicon design technology, IP, toolflows, and custom chiplet solutions for AI compute platforms. Its customers include hyperscaler and XPU companies seeking reduced power consumption and higher compute efficiency. The company also builds Teraflux Bitcoin mining products, including air-, hydro-, and immersion-cooled miners, ASICs, modular containers, miner firmware, fleet-management software, and enterprise customer support.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will develop system-level performance models and simulation frameworks for AI workloads and compute architectures. You will model SoC components, software runtime behavior, memory systems, and interconnects, analyze bottlenecks, evaluate tradeoffs, and guide hardware and system architecture decisions.

Requirements

  • Strong background in computer architecture, system architecture, or performance modeling
  • Experience building simulation or analytical models of complex hardware systems
  • Strong programming skills in Python, C++, or similar languages
  • Understanding of CPUs, GPUs, or AI accelerators
  • Ability to analyze complex systems and identify performance bottlenecks
  • Strong quantitative reasoning

Responsibilities

  • Develop system-level performance models for AI workloads and compute architectures
  • Build simulation frameworks for AI models, software runtimes, and hardware systems
  • Model compute units, memory hierarchies, and interconnects
  • Incorporate software and runtime behavior into modeling frameworks
  • Analyze system bottlenecks and evaluate architectural tradeoffs
  • Guide microarchitectural and system-level design decisions
  • Evaluate performance, latency, throughput, and energy efficiency

Benefits

  • Performance-based incentives
  • Equity participation
  • Medical coverage
  • Dental coverage
  • Vision coverage
  • Paid time off
  • Flexible work arrangements