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Staff Performance Modeling Engineer - San Jose/Austin

OPENEDGES develops AI Edge Computing semiconductor IPs,

so that more people can enjoy AI technology closer.

📍 Location: San Jose, CA, USA or Austin, TX, USA

📍 Position: Staff Performance Modeling Engineer

OPENEDGES is world's the only total memory system and AI platform IP solution company that has delivered NPU, memory controllers, DDR PHY, and on-chip interconnect IPs all together in one place since 2017.

Roles & Responsibilities:

OPENEDGES is currently seeking to build a team in the US with the goal of developing a configurable, cache-coherent Network-on-Chip (NOC) to add to its portfolio, enabling high-performance and highly efficient AI designs that require cache coherency. This is an exciting opportunity to work on a design from scratch that can significantly impact the field of AI. This role is based in San Jose, CA, or Austin, TX, with the possibility of hybrid/remote work.

As a Staff Performance Modeling Engineer, you will play a critical role in architecting the performance model for the cache-coherent interconnect NOC. This will involve collaborating with cross-functional teams to explore architectural options, evaluate design alternatives, project performance, and balance power with performance trade-offs. You will also develop the simulation model infrastructure, performance model for the specific architectures, and support customers using the model.

Your primary responsibilities will include:

  • Collaborating with cross-functional teams to develop performance models that drive the evaluation of new features and evolve into well-correlated models with our IP RTL designs

  • Modeling complex configurable designs and conducting performance analysis to inform architectural decisions

  • Creating a quantitative performance evaluation strategy

  • Performing performance simulations and measuring alternative designs

  • Analyzing workloads to identify performance bottlenecks and opportunities

Job Requirements:

We are looking for a highly motivated individual with the following qualifications:

  • MS or PhD in Computer Science, Electrical Engineering, or a related field

  • Strong experience in computer architecture, microarchitecture, performance, and networking

  • Consistent track record of success in modeling, analyzing, and debugging sophisticated IP designs

  • 8+ years of experience in performance modeling, simulation, analysis, and RTL correlation of SoC system performance, with a proven ability to provide effective solutions

  • Expertise in C++/Python, with a strong background in software architecture and design patterns, applied to various areas in performance modeling and tooling

  • Strong leadership skills and ability to set direction and work through ambiguities


  • The ability to work in an entrepreneurial environment that fosters a collaborative and team-oriented atmosphere

  • Experience working in startup environments or venture-backed firms

  • A self-starting orientation with a strong drive to make things happen

  • Experience in bringing up performance models for Network on a Chip (NoC) is a definite plus.Experience/familiarity with the memory and compute challenges of neural network workloads.


  • Medical Plan

  • Dental & Vision Benefits

  • Life & Accidental Death & Dismemberment (AD&D) Insurance

  • 401K


  • 2540 N.First Street, Suite 101, San Jose, CA, US (On-site/Hybrid/Remote)

  • Austin, TX (office coming soon)

How to Submit Your Resume:

  • Click Apply to submit your application online


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