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Designing core architecture modules for analog in-memory computing in deep neural network acceleration at AI hardware innovator. Hands-on experience with ML hardware exploration frameworks like Timeloop required. Focus on groundbreaking analog in-memory computing hardware.
Requirements
- BS/MS/PhD in EE, CS, or related field
- Understanding of computer architecture, digital design, and micro-architecture concepts
- Familiarity with AI/ML algorithms, frameworks, and workloads
- Programming experience in C/C++ and Python
- Hands-on experience with ML hardware exploration frameworks like Timeloop, ZigZag, etc.
- Hands-on experience with HDLs such as Verilog or System Verilog
Tasks
- Design and specify core architecture modules
- Align architecture with workload requirements
- Collaborate with the software team to evaluate module performance
- Identify performance constraints and inform architectural choices
- Monitor trends in AI workloads and hardware architectures
- Research applications to guide next-generation architecture evolution
Work Experience
- 2 - 5 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- C/C++
- Python
- Timeloop
- ZigZag
- Verilog
- System Verilog
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Designing core architecture modules for analog in-memory computing in deep neural network acceleration at AI hardware innovator. Hands-on experience with ML hardware exploration frameworks like Timeloop required. Focus on groundbreaking analog in-memory computing hardware.
Requirements
- BS/MS/PhD in EE, CS, or related field
- Understanding of computer architecture, digital design, and micro-architecture concepts
- Familiarity with AI/ML algorithms, frameworks, and workloads
- Programming experience in C/C++ and Python
- Hands-on experience with ML hardware exploration frameworks like Timeloop, ZigZag, etc.
- Hands-on experience with HDLs such as Verilog or System Verilog
Tasks
- Design and specify core architecture modules
- Align architecture with workload requirements
- Collaborate with the software team to evaluate module performance
- Identify performance constraints and inform architectural choices
- Monitor trends in AI workloads and hardware architectures
- Research applications to guide next-generation architecture evolution
Work Experience
- 2 - 5 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- C/C++
- Python
- Timeloop
- ZigZag
- Verilog
- System Verilog
About the Company
SEMRON
Industry
IT
Description
The company is redefining AI hardware through analog in-memory computing for deep neural network acceleration.
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