Engineer

Company:Qualcomm India Private LimitedJob Area:Engineering Group, Engineering Group > Machine Learning EngineeringGeneral Summary:Minimum Qualifications:• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.Software Developer — Machine Learning for EDA SystemsMinimum Experience: 1+ years in software development Role OverviewWe are looking for a seasoned Software developer with a 1-3 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 & Experience1+ 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. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability- or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.If you would like more information about this role, please contact Qualcomm Careers.