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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
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
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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