Engineer - Machine Learning Job in Bengaluru at Qualcomm

Qualcomm is hiring for the role of Engineer - Machine Learning!

Responsibilities of the Candidate:

• Design 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.

Requirements:

• 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.
• 1+ 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.