Software Engineer - Machine Learning for EDA Systems

As a Software Developer specializing in Machine Learning for EDA Systems at Qualcomm India Private Limited, your primary responsibility will be to design and develop cutting-edge software platforms that integrate Machine Learning with semiconductor design processes. You will play a pivotal role in transforming chip development workflows by leading initiatives that drive innovation and engineering excellence. **Key Responsibilities:** - Design and develop ML-integrated EDA software platforms with a focus on scalability, performance, and adaptability. - Mentor and guide a team of software engineers and ML practitioners to foster innovation and excellence. - Refine software development processes by embedding best practices and agility across teams. - Spearhead advanced algorithm design tailored for automation and optimization in EDA flows. - Build reliable and scalable data pipelines to support ML model development and inference. - Implement full-stack deployment strategies for seamless functioning of ML applications across diverse environments. - Establish and maintain ML Ops infrastructure to facilitate continuous training, deployment, and monitoring. - Conduct system integration and testing initiatives to ensure operability across large systems. - Manage CI/CD pipelines, maintain quality assurance standards, and ensure system scalability from prototype to production. - Ensure the reliability and scalability of large system deployments for high-performance compute platforms. **Required Skills & Experience:** - 1+ years of experience in software development, focusing on architecture for ML and EDA tools. - Proficiency in Python, C++, and frameworks like TensorFlow, PyTorch, or Scikit-learn. - Familiarity with CI/CD tools (e.g., GitLab, Jenkins) and MLOps platforms (e.g., MLflow, Kubeflow). - Deep knowledge of EDA tools and flows, including experience with platforms such as Synopsys, Cadence, or Siemens. - Skills in data engineering and cloud/on-prem infrastructures (AWS, GCP, Kubernetes). - Strong communication and leadership abilities, with a history of successful cross-functional collaboration. **Preferred Qualifications:** - MS or PhD in Computer Science, Electrical Engineering, or a related field. - Expertise in advanced ML techniques such as graph neural networks or reinforcement learning applied to EDA. - Contributions to open-source projects, patents, or technical publications related to ML-driven design automation. Please note that Qualcomm is an equal opportunity employer committed to providing accessible processes for individuals with disabilities. If you require accommodations during the application/hiring process, please contact Qualcomm via email at disability-accommodations@qualcomm.com or through the toll-free number provided on the Qualcomm website.,