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
Preference:
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.
Benefits:
Medical Plan
Dental & Vision Benefits
Life & Accidental Death & Dismemberment (AD&D) Insurance
401K
Location:
2540 N.First Street, Suite 101, San Jose, CA, US (On-site/Hybrid/Remote)
Austin, TX (office coming soon)
How to Submit Your Resume:
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