Memory Subsystem Architecture and Performance Modeling
Santa Clara CA , Austin TX, Portland OR
Engineering – Silicon Engineering /
Full-time /
Hybrid
Join a cutting-edge and well-funded hardware startup in Silicon Valley as a SoC Performance Architect. Our mission is to reimagine silicon and create RISC-V based accelerated computing platforms that will transform the industry. You will have the opportunity to work with some of the most talented and passionate engineers in the world to create designs that push the envelope on performance, energy efficiency and scalability. We offer a fun, creative and flexible work environment, with a shared vision to build products to change the world.
We are looking for experienced candidates.
Responsibilities
- Define architecture and microarchitecture for memory subsystem components including cache, interconnects and memory.
- Work with architecture and design teams to develop performance models in C++ for design space exploration and provide feedback to architecture and design teams.
- Validate the performance model against the specification and correlate with RTL.
- Plan and analyze results of performance studies analyzing micro-architectural proposals.
- Develop performance verification tests to ensure quality of model and design.
Requirements
- Strong knowledge in SoC architecture and power/performance trade-offs.
- Proficient at SW programming with good understanding of C/C++, Python, and modular object oriented software development.
- Experience in simulators for perf model development and perf analysis. Experience in different modeling techniques from analytical, event driven and cycle accurate.
- In-depth knowledge of memory subsystem architecture, microarchitecture and design including caches, cache coherency, NOC, LPDDR/DDR/HBM, and IO.
- Excellent skills in problem solving, written and verbal communication, excellent organization skills, and highly self-motivated.
- Knowledge of SystemVerilog and waveform debugging tools is a plus.
- Ability to work collaboratively in a team and be productive under aggressive schedules.
Education and Experience
- Bachelor’s degree plus 5 years of industry experience.
- Master’s degree plus 3 years of industry experience.
- Ph.D with internship experience.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
