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
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.
Dental & Vision Benefits
Life & Accidental Death & Dismemberment (AD&D) Insurance
2540 N.First Street, Suite 101, San Jose, CA, US (On-site/Hybrid/Remote)
Austin, TX (office coming soon)
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