Performance Modeling Architect - AI Systems

Develop system-level performance models for AI workloads and compute architectures.

Build simulation frameworks that capture interactions between AI models, software runtimes, and hardware systems.

Model key components of SoC architecture including compute units, memory hierarchies, and interconnects.

Incorporate relevant software and runtime behavior into modeling frameworks to reflect realistic system execution.

Analyze system bottlenecks and evaluate architectural tradeoffs across the platform.

Work closely with hardware architects to guide microarchitectural and system-level design decisions.

Collaborate with software and ML teams to incorporate realistic workloads into modeling frameworks.

Use modeling and simulation to evaluate performance, latency, throughput, and energy efficiency across target applications.

Artificial Intelligence (AI), Performance Modeling, System Architecture, Energy Efficiency, Hardware Architecture, Architectural Services, Computer Systems, Artificial Intelligence (AI), Simulation, System-on-a-Chip (SoC), Strong background in computer architecture, system architecture, or performance modeling.

Experience building simulation or analytical models of complex hardware systems.

Strong programming skills (Python, C++, or similar) for modeling and simulation frameworks.

Understanding of modern compute architectures such as CPUs, GPUs, or AI accelerators.

Ability to analyze complex systems and identify performance bottlenecks.

Strong quantitative reasoning and ability to translate models into architecturalinsights.

Preferred Qualifications

Experience modeling AI workloads or machine learning systems.

Familiarity with architectural simulators or performance modeling tools.

Experience with memory systems, interconnect architectures, or accelerator design.

Exposure to hardware-software co-design methodologies., Experience modeling performance across multiple layers of the stack, including software runtimes and hardware platforms.

$200,000 - $300,000 a year

Compensation & Benefits

At Velaura, we believe exceptional talent deserves exceptional rewards. Compensation for this role includes a base salary and very competitive equity compensation, allowing team members to share in the company’s long-term success.

The base pay listed represents a good faith estimate that the Company reasonably expects to pay for this position at the time of hire. Actual compensation will depend on multiple factors, including the candidate’s skills, qualifications, relevant experience, and geographic location.

In addition to base salary and equity compensation, Velaura offers a comprehensive benefits package that may include medical, dental, and vision coverage; paid time off; flexible work arrangements; professional development opportunities; and other benefits designed to support the well-being and growth of our team.

Velaura is committed to pay equity and transparency and regularly benchmarks compensation to ensure we remain competitive in the market.

Velaura is building next-generation compute technology for cloud, edge, and Physical AI. Our solutions will enable robots, autonomous systems, drones, and other intelligent machines to operate efficiently in the physical world.This is an opportunity to help build foundational technology at a time when the industry is undergoing fundamental change. You will work alongside experienced leaders, architects, engineers, and operators who have delivered industry-defining products across mobile, cloud, semiconductor, and AI platforms. If you enjoy solving difficult problems, working across disciplines, and helping shape the future of Physical AI, we would love to hear from you.