ECE/EDA Engineer

Role Overview: You will be a part of a team working on building AI systems for semiconductor and engineering workflows. Your expertise in EDA, ASIC, FPGA, VLSI, Verification, Physical Design, and Analog/Mixed Signal engineering will be vital in training and evaluating next-generation AI models. This role offers a unique opportunity to merge deep domain knowledge with cutting-edge AI development. Key Responsibilities: - Create and review AI training data derived from authentic semiconductor workflows. - Assess AI-generated engineering solutions and identify any instances of failure. - Break down intricate design, verification, and implementation tasks into well-structured workflows. - Assist in constructing benchmarks and datasets for AI systems utilized in semiconductor engineering. Qualifications Required: Must Have: - B.Tech / M.Tech / PhD in ECE, EE, VLSI, Microelectronics, or related fields. - Minimum of 2 years of industry experience in semiconductor, ASIC, FPGA, VLSI, Verification, Physical Design, Analog/Mixed Signal, or EDA domains. - Practical experience with tools like Cadence, Synopsys, Siemens EDA, Ansys, or similar. - Strong problem-solving skills along with clear technical communication and documentation abilities. Good to Have: - Proficiency in Python or scripting/automation. - Familiarity with RTL design, STA, DFT, UVM, or analog simulation flows. - Background in AI/ML-assisted EDA or exposure to LLM-based tools. Additional Details: This section is omitted as no other company-specific information is provided in the job description. Role Overview: You will be a part of a team working on building AI systems for semiconductor and engineering workflows. Your expertise in EDA, ASIC, FPGA, VLSI, Verification, Physical Design, and Analog/Mixed Signal engineering will be vital in training and evaluating next-generation AI models. This role offers a unique opportunity to merge deep domain knowledge with cutting-edge AI development. Key Responsibilities: - Create and review AI training data derived from authentic semiconductor workflows. - Assess AI-generated engineering solutions and identify any instances of failure. - Break down intricate design, verification, and implementation tasks into well-structured workflows. - Assist in constructing benchmarks and datasets for AI systems utilized in semiconductor engineering. Qualifications Required: Must Have: - B.Tech / M.Tech / PhD in ECE, EE, VLSI, Microelectronics, or related fields. - Minimum of 2 years of industry experience in semiconductor, ASIC, FPGA, VLSI, Verification, Physical Design, Analog/Mixed Signal, or EDA domains. - Practical experience with tools like Cadence, Synopsys, Siemens EDA, Ansys, or similar. - Strong problem-solving skills along with clear technical communication and documentation abilities. Good to Have: - Proficiency in Python or scripting/automation. - Familiarity with RTL design, STA, DFT, UVM, or analog simulation flows. - Background in AI/ML-assisted EDA or exposure to LLM-based tools. Additional Details: This section is omitted as no other company-specific information is provided in the job description.