Designer, Systems

1 week ago

Singapore ALTROCKS TECH PTE. LTD. Full time

**Responsibilities**:

- 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

**Requirement**:

- Bachelor’s with relevant experience in Domain Specific Accelerators/Machine Learning
- Knowledge 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 etc
- Familiarity with GPGPU (eg: CUDA/OpenCL) programming models is preferred but not mandatory
- Any prior experience in developing simulation-based performance models for domain specific accelerators
- Knowledge in design principles, colour theory and typography
- Knowledge and experience in running user research, ideation workshops and usability tests
- Proficient in C/C++ and scripting languages (Perl/Python)
- Knowledge in one or more AI programming frameworks - Tensorflow, Pytorch etc
- Expertise with popular design tools and software such as Figma, Miro, Adobe Creative Suite.
- Knowledge of RISC-V ISA is valuable but not mandatory
- Ability to deliver high quality analysis/results and independently drive modeling tasks is preferred
- Good knowledge of USB2.0/USB3.0/ USBCV protocols and USB Device Classes (HID, MSC, CDC, UVC, UAC, DFU, Custom).
- Curiosity and Enthusiasm to explore advance state of the art technologies with calculated risks

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