Accelerator System Architect
4 weeks ago
Role Summary:
- As a key member of our technical team, you will be responsible for designing and implementing high-performance accelerator architectures.
Key Responsibilities:
- Design and implement performance, functional, and power models for accelerator architecture exploration and functional verification.
- Develop tests, test plans, and testing infrastructure to verify new algorithms and functionality and their performance.
- Assess new SW/HW innovations and drive the most relevant into the accelerator architecture definition.
- Research industry trends and customer requirements of machine learning algorithms and accelerators and drive partnerships for access to advanced technologies.
Qualification and Skills:
- Minimum 12+ years of experience with a bachelor's degree in CS/EE/Math or equivalent; a master's/Ph.D. degree is a plus.
- 5+ years of experience with performance simulation and modeling in modern C++/Python; ability to deliver production-quality and well-documented code.
- Experience in modeling and benchmarking machine learning models on accelerator simulator models.
- Knowledge/experience in CPU/GPU/domain-specific accelerators architecture with a focus on data-path, fixed-point arithmetic, scheduler, memory system, and network-on-chip interconnection design.
- Experience in machine learning frameworks and interfaces, such as ONNX, TensorFlow, and PyTorch; PyTorch is a plus.
- Experience with NAND Flash Memory and its architecture and circuit design is a big plus.
- Experience with DRAM and its architecture and circuit design is a good plus.
- Experience in approximate compute, analog compute is a good plus.
- Experience of hardware and RTL implementation (Verilog/System Verilog) is a good plus.
- Experience in OpenCL/CUDA/Metal or other parallel programming APIs is a good plus.
- Passionate about new technology and innovation with strong communication skills.
Location:
- Bangalore/Hyderabad
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