Performance Modeling Architect – AI Systems at Velaura AI
Velaura AI is hiring a Performance Modeling Architect – AI Systems in Austin, TX, US +3 more. On-site. Pay: USD 200k-300k/yr.
About Velaura AI
Velaura AI provides ultra-low-power compute infrastructure for AI applications. Its technology targets cloud, edge, and physical AI, aiming to reduce power consumption and operating costs in data centers, extend battery life for embodied AI, and enable fast local AI processing at the edge.
Performance Modeling Architect – AI Systems job description
Role Overview
performance, latency, scalability, and energy efficiency. Your work will directly influence the architecture of next-generation AI compute platforms.
Responsibilities
● 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.
Required Qualifications
● 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 architectural
insights.
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.
Why Velaura?
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.
Equal Employment Opportunity and Accommodations
Velaura is an Equal Opportunity Employer that is committed to inclusion and diversity. Qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, disability or protected veteran status. We also take affirmative action to offer employment
opportunities to minorities, women, individuals with disabilities, and protected veterans.
Velaura is committed to working with qualified individuals with physical or mental disabilities. Applicants who would like to contact us regarding the accessibility of our website or who need special assistance or a reasonable accommodation for any part of the application or hiring process may contact us at: [email protected]. This contact
information is for accommodation requests only. Evaluation of requests for reasonable accommodation will be determined on a case-by-case basis.
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