Position Details
About this role
This role involves developing machine learning models for hardware and VLSI design, analyzing silicon data, and optimizing algorithms for performance.
Key Responsibilities
- Work on hardware data analysis
- Build and test ML models
- Translate requirements into data science solutions
- Optimize models for QOR
- Collaborate with multi-functional teams
Technical Overview
Environment includes Python, C++, TensorFlow, PyTorch, Spark, and hardware data analysis tools, focusing on VLSI, ASIC, and circuit optimization.
Ideal Candidate
The ideal candidate is a mid-level AI/ML engineer with 4+ years experience in circuit design, VLSI, and proficiency in Python and C++, with hands-on experience in TensorFlow, PyTorch, and Spark. They should have a strong background in hardware data analysis and model optimization.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience in circuit design or VLSI, No proficiency in Python or C++, No experience with ML frameworks like TensorFlow or PyTorch
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