Senior Engineer- Machine Learning for EDA Systems

We are seeking a seasoned Software Engineer/Lead Engineer with 3-7 years of experience to design, develop, deploy, and scale software platforms in Electronic Design Automation (EDA). This role involves fusing Machine Learning with semiconductor design, driving robust systems that transform chip development workflows, and ensuring innovation and engineering excellence.

Must Have

• Design and develop end-to-end ML-integrated software platforms.
• Strong software development skills with experience in training and productizing Machine learning models.
• Good software design skills, knowledge of software development life cycle.
• Engineer reliable and scalable data pipelines.
• Knowledge of full-stack deployment strategies for ML applications.
• Establish and maintain comprehensive ML Ops infrastructure.
• Experience with CI/CD pipelines, quality assurance standards, and system scalability.
• At least 2+ years of experience in software development, with a focus on building and maintaining scalable machine learning projects.
• Strong coding chops in Python, C++, Typescript.
• Experience with frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Solid grasp of CI/CD tools (e.g., GitLab, Jenkins).
• Working knowledge on MLOps platforms (e.g., MLflow, Kubeflow, Airflow).
• Hands-on in various databases and skilled in data engineering.
• Experience with cloud/on-prem infrastructures (AWS, GCP, Kubernetes).

Good to Have

• MS or PhD in Computer Science, Electrical Engineering, or a related field.
• Strong software coding and design skills with one or more programming languages.
• Awareness of best software development practices and frameworks.
• Expertise in various ML techniques and algorithms (e.g., graph neural networks, reinforcement learning, Generative AI).
• Contributions to open-source, patents, or technical publications related to ML-driven design automation.
• Knowledge of EDA tools and flows (e.g., Synopsys, Cadence, or Siemens).

Perks & Benefits

• World-class health benefit options providing world-class coverage to employees and their eligible dependents.
• Programs designed to help employees build and prepare for a financially secure future.
• Self and family resources to build emotional/mental strength and resilience and define purpose.
• Wellbeing programs and resources to help employees Live+Well and Work+Well.
• Continuous learning and development programs.
• Tuition reimbursement.
• Mentorships.

Job Posting Date

2025-12-02

---

Company:

Qualcomm India Private Limited

Job Area:

Engineering Group, Engineering Group > Software Engineering

General Summary:

General Summary:

Senior Software Engineer — Machine Learning for EDA Systems

Minimum Experience: 3+ years in software development

🌟 Role Overview

We are looking for a seasoned Software engineer/lead engineer with 3-7 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.

🏗️ 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.

Spearhead 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.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

OR

Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

OR

PhD in Computer Science, Engineering, Information Systems, or related field.

🏆 Preferred Qualifications

MS or PhD in Computer Science, Electrical Engineering, or a related field.

Strong software coding and design skills with one or more programming languages.

Should be aware of best software development practices and frameworks.

Expertise in various ML techniques and algorithms—e.g., graph neural networks or reinforcement learning, Generative AI.

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.