About the RoleEnCharge AI is seeking a Senior NPU Architect to join our Architecture Team. In this role, you will collaborate with a team of NPU and system architects, hardware engineers, and software teams to define and optimize key features in our AI accelerator with the cutting-edge in-memory computing technology. You will contribute to designing a holistic AI HW/SW solution that has the best performance and efficiency on the market for the latest AI/ML workloads, such as LLMs, diffusion models, CNNs, and more.
Responsibilities- Define and develop the spec, architecture, and micro-architecture of key architecture modules (such as the in-memory compute unit, on-chip network, and memory orchestration units) based on the requirements of the workloads and software deployment flow
- Contribute to the modeling of aforementioned key architecture modules in our C++ simulation framework to ensure a functional implementation of the features
- Collaborate with the design verification team to deliver a strategy and infrastructure for the testing of the architecture features within said modules
- Work with the software team and other architects to analyze the performance and efficiency of the architecture modules for key workloads, identify performance bottlenecks, and guide architectural decisions
- Stay up to date with the latest trends and research in AI workloads, architectures, and applications to help define a path for the future generations of architectures
Qualifications- BS or MS in EE, CS, or a related field with 5-8 years of relevant experience.
Preferred: Ph.D. in a related field with 2-4 years of relevant experience. - Understanding in computer architecture, digital design, and micro-architecture concepts
- Familiarity with AI/ML algorithms, frameworks, and workloads
- Programming experience in C/C++ and Python
- Experience with HDLs such as Verilog or System Verilog
The salary range for this position is $180,000 to $240,000 USD ($175,000 to $245,000 CAD) per year. Actual compensation offered will be determined based on job-related knowledge, skills, and experience.
