Who are we?
We are the System Architecture Group at StarFive in Singapore. We focus on micro-architectural design, modeling, exploration and benchmarking. We help leadership and different stakeholders to make a data driven design decisions.
Job scope :
- Understand the mainstream GPGPU architecture and their design choice
 - Using existing ML or HPC background to propose the possible architecture improvements and exploration possibilities
 - Can deeply understand the programming model of each architecture and its impacts and influence on eco-system
 - Maintain and build the confidence model for both verifying with software tools and profiling the performance so at to understand different architecture design choices
 
What are we looking for?
BS / MS / PhD with relevant experience in Domain Specific Accelerators / Machine LearningKnowledge of different machine learning algorithms (eg : CNN, LSTM, DNN, GNN etc) and their execution model in GPU / CPU; understanding of parallel execution models like SIMD, SIMT etcFamiliarity with GPGPU (eg : CUDA / OpenCL) programming models is preferred but not mandatoryAny prior experience in developing simulation-based performance models for domain specific acceleratorsProficient in C / C++ and scripting languages (Perl / Python)Knowledge in one or more AI programming frameworks – Tensorflow, Pytorch etcKnowledge of RISC-V ISA is valuable but not mandatoryAbility to deliver high quality analysis / results and independently drive modeling tasks is preferredCuriosity and Enthusiasm to explore advance state of the art technologies with calculated risksStrong interpersonal skills, written and oral; good team player#J-18808-Ljbffr