Staff Engineer-Machine Learning

Company:Qualcomm India Private LimitedJob Area:Engineering Group, Engineering Group > Machine Learning EngineeringGeneral Summary:As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient discovery and utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs. Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning hardware and software.Minimum Qualifications:Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.ORMaster's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.ORPhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.Staff Software Developer — Machine Learning for EDA SystemsMinimum Experience: 8+ years in software developmentRole OverviewWe are looking for a seasoned Software developer with a minimum of 8 years' experience in designing, deploying, and scaling software platforms in the realm of Electronic Design Automation (EDA). You will lead cutting-edge initiatives that fuse Machine Learning with semiconductor design, driving robust systems that transform chip development workflows. Key ResponsibilitiesDesign and develop end-to-end ML-integrated EDA software platforms built 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 across teams.Spearhead advanced algorithm design tailored for automation and optimization in EDA flows.Engineer reliable and scalable data pipelines to fuel ML model development and inference.Oversee full-stack deployment strategies, enabling ML applications to function across diverse environments.Establish and maintain comprehensive ML Ops infrastructure, supporting continuous training, deployment, and monitoring.Experience in system integration and testing initiatives, ensuring seamless operability across large systems.Manage CI/CD pipelines, quality assurance standards, and system scalability from prototype to production.Ensure reliability and scalability of large system deployments for high-performance compute platforms.Required Skills & Experience8+ years of experience in software development, with a focus on architecture for ML and EDA tools.Strong coding chops in Python, C++, and frameworks like TensorFlow, PyTorch, or Scikit-learn.Solid grasp of 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.Skilled in data engineering and cloud/on-prem infrastructures (AWS, GCP, Kubernetes).Sharp communication and leadership skills, with a track record of cross-functional collaboration.Preferred QualificationsMS or PhD in Computer Science, Electrical Engineering, or a related field.Expertise in advanced ML techniques—e.g., graph neural networks or reinforcement learning applied to EDA.Contributions to open-source, patents, or technical publications related to ML-driven design automation.Applicants: Qualcomm is an equal opportunity employer. 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