Engineer,Senior Staff -Machine Learning
Qualcomm
Company:
Qualcomm India Private Limited Job 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 Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces.
Minimum Qualifications:
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field.
• 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
Machine Learning for EDA Systems
Minimum Experience: 10-15 years in software development for EDA tools
🌟 Role Overview
We are looking for a Staff Software Engineer with a minimum of 10-15 years’ experience in designing, deploying, and scaling software platforms in the realm of Electronic Design Automation (EDA). You will design, develop, and validate software for cutting-edge initiatives that fuse Machine Learning with semiconductor design, driving robust systems that transform chip development workflows.
🏗️ Key Responsibilities
- Design and develop end-to-end ML-integrated EDA software platforms built for scale, performance, and adaptability.
- Develop software development processes, embedding best practices and agility across teams.
- Perform advanced algorithm design tailored for automation and optimization in EDA flows.
- Engineer reliable and scalable data pipelines to fuel ML model development and inference.
- Develop full-stack deployment strategies, enabling ML applications to function across diverse environments.
- Execute system integration and testing initiatives, ensuring seamless operability across large systems.
- Ensure reliability and scalability of large system deployments for high-performance compute platforms.
💡 Required Skills & Experience
- Experience in software development, with a focus on architecture for ML and EDA tools.
- Proven ability to deliver software across diverse domains—ML, systems engineering, or infrastructure.
- 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).
- Sharp communication and leadership skills, with a track record of cross-functional collaboration.
🏆 Preferred Qualifications
- MS 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-accomodations@qualcomm.com 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).
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