Software Engineer - Machine Learning For EDA Systems

2 - 7 years

17 - 20 Lacs

Posted:1 month ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

General Summary:

Minimum Experience: 2+ years in software development

Role Overview

We are looking for a seasoned Software developer with 2-5 years experience in designing, developing, deploying, and scaling software platforms in the realm of Electronic Design Automation (EDA). You will work in cutting-edge initiatives that fuse Machine Learning with semiconductor design, driving robust systems that transform chip development workflows.

Minimum Qualifications:

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.

Key Responsibilities

  • Design and develop end-to-end ML-integrated software platforms built for scale, performance, and adaptability.
  • Strong software development skills with experience in training and productizing Machine learning models, fostering innovation and engineering excellence.
  • Good software design skills, knowledge of software development life cycle, embedding best development practices and agility across teams.
  • Help in advanced software algorithm design tailored for automation and optimization in EDA flows.
  • Engineer reliable and scalable data pipelines to fuel ML model development and inference.
  • Knowledge of 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 with 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 & Experience

  • At least 2+ years of experience in software development, with a focus on building and maintaining scalable machine learning projects.
  • Strong coding chops in one or more programming languages - Python , C++, Typescript and frameworks like TensorFlow, PyTorch, or Scikit-learn with knowledge of software development tools and best practices.
  • Solid grasp of CI/CD tools (e.g. GitLab, Jenkins) and working knowledge on MLOps platforms (e.g., MLflow, Kubeflow, Airflow)
  • Handson in various databases and skilled in data engineering and cloud/on-prem infrastructures (AWS, GCP, Kubernetes).
  • Sharp communication skills with a track record of cross-functional collaboration.

Preferred Qualifications

  • MS or PhD in Computer Science, Electrical Engineering, or a related field.
  • Strong software coding and software design skills in Python / C++ . Should be aware of best software development practices, frameworks and tools.
  • Knowledge in advanced ML techniquese.g., graph neural networks or reinforcement learning, Generative AI is preferred.
  • Contributions to open-source, patents, or technical publications related to ML-driven design automation.
  • Knowledge of EDA tools and flows is preferrable, including experience with platforms such as Synopsys, Cadence, or Siemens.

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San Diego

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