Job Description

Company:

------------


Qualcomm India Private Limited

Job Area:

-------------


Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

Software

Developer

-- Machine Learning for EDA Systems

Minimum Experience

:

2

+ years in software

development

Role Overview

We are looking for a seasoned Software developer with a

2

-6

years' experience

in designing, deploying, and scaling software platforms in the realm of Electronic Design Automation (EDA). You will lead 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. 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.

Required Skills & Experience

2+

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.

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.

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.

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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