Senior Engineer- Machine Learning for EDA Systems

You are a seasoned Software Developer with 2-6 years of experience in designing, deploying, and scaling software platforms in the realm of Electronic Design Automation (EDA). In this role at Qualcomm India Private Limited, you will lead cutting-edge initiatives that integrate Machine Learning with semiconductor design to drive robust systems transforming chip development workflows. - Design and develop end-to-end ML-integrated EDA software platforms for scale, performance, and adaptability. - Guide and mentor a team of software engineers and ML practitioners, fostering innovation and engineering excellence. - Own and refine software development processes, embedding best practices and agility. - Spearhead advanced algorithm design for automation and optimization in EDA flows. - Engineer reliable and scalable data pipelines for ML model development and inference. - Oversee full-stack deployment strategies for ML applications across diverse environments. - Establish and maintain comprehensive ML Ops infrastructure for continuous training, deployment, and monitoring. - Experience in system integration and testing to ensure seamless operability. - Manage CI/CD pipelines, quality assurance standards, and system scalability. - Ensure reliability and scalability of large system deployments for high-performance compute platforms. Qualifications Required: - 2+ years of experience in software development with a focus on ML and EDA tools. - Strong coding skills in Python, C++, and frameworks like TensorFlow, PyTorch, or Scikit-learn. - Proficiency in CI/CD tools, MLOps platforms, EDA tools, data engineering, and cloud/on-prem infrastructures. - Excellent communication and leadership skills. Preferred Qualifications: - MS or PhD in Computer Science, Electrical Engineering, or related field. - Expertise in advanced ML techniques applied to EDA. - Contributions to open-source, patents, or technical publications related to ML-driven design automation. Minimum Qualifications: - Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of relevant work experience. -OR- - Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of relevant work experience. -OR- - PhD in Computer Science, Engineering, Information Systems, or related field. Please note that this job description is for a position at Qualcomm India Private Limited, and Qualcomm is an equal opportunity employer committed to providing accessible processes for individuals with disabilities. For further information about this role, please contact Qualcomm Careers.,