Senior Engineer- Machine Learning for EDA Systems at Qualcomm Technologies Inc Turkey

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

23 Jan, 26

Salary

0.0

Posted On

25 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Software Development, Data Engineering, Cloud Infrastructure, Python, C++, Typescript, TensorFlow, PyTorch, Scikit-learn, CI/CD, MLOps, AWS, GCP, Kubernetes, Communication Skills

Industry

Telecommunications

Description

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. 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). 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.

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Responsibilities

Design and develop end-to-end ML-integrated software platforms for EDA systems. Engineer reliable data pipelines and establish ML Ops infrastructure to support continuous training and deployment.