Senior Engineer- Streamlit and Dash and Python Automation Machine Learning

Qualcomm Technologies, Inc; Hyderabad City Taluka; On-site; PKR 2,000,000 - 2,750,000; Full time

Job summary

A leading technology innovator is seeking a Software Engineer based in Hyderabad City Taluka, Pakistan. In this role, you'll design, develop, and validate software solutions, with a focus on Machine Learning and neural networks. Ideal candidates will have a Bachelor's degree, proficiency in Python, and experience in software development/testing. You will collaborate to create cutting-edge products that meet customer needs and impact billions of devices globally.

Qualifications

• Bachelor's degree in a relevant field required.
• Minimum of 1 year experience in software development/testing.
• Proficient in Python programming and Machine Learning concepts.

Responsibilities

• Design, develop, and validate embedded and cloud edge software solutions.
• Collaborate with cross-functional teams for system-level software solutions.
• Develop and maintain test frameworks for Qualcomm Neural Network.

Skills

Python programming

Machine Learning concepts

Automation Testing

C/C++ programming

Jenkins for CI/CD

Docker

AI and ML knowledge

Version control with Git

Problem-solving skills

Excellent communication skills

Education

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

Tools

TensorFlow

Pytorch

Power BI

Tableau

Job description

General Summary

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next‑generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting‑edge, world‑class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system‑level software solutions and obtain information on performance requirements and interfaces.

Minimum Qualifications

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
• Python programming/Machine Learning concepts and Automation Testing (Python framework, autoframework) Mandatory
• Expertise in developing test cases, automating the tests, test case execution and troubleshooting/analyzing problems
• Experience with Programming Language such as C, C++, Python, etc.
• Strong proficiency in Python Programming
• Solid understanding of OOPS, Automation and OS concepts.
• Hands‑on with Jenkins for CI/CD
• Familiarity with Docker
• Knowledge of AI, ML and GenAI will be added advantage.
• Knowledge of version control systems like Git
• Strong Problem‑Solving skills and ability to work in fast‑paced environment.
• Live and breathe quality software development with excellent analytical and debugging skills.
• Excellent communication skills (verbal, presentation, written)
• Ability to collaborate across a globally diverse team and multiple interests
• Excellent communication skills (verbal, presentation, written), Strong problem‑solving skills, Good time management skills, excellent analytical and debugging skills, must be an effective team player, and should be self‑driven.

Job Overview

Join a new and growing team at Qualcomm focused on advancing state‑of‑the‑art in Machine Learning. The team uses Qualcomm chips’ extensive heterogeneous computing capabilities and engineers them to allow the running of trained neural networks on device without a need for connection to the cloud. Our inference engine is designed to help developers run neural network models trained in a variety of frameworks on Snapdragon platforms at blazing speeds while still sipping the smallest amount of power. See your work directly impact billions of mobile devices around the world & also most advanced Autonomous features for AUTO industry. In this position, you will be responsible for the development of test frameworks for Qualcomm Neural Network (QNN). You will work with neural network frameworks like TensorFlow, Pytorch and develop the validation framework to gauge functionality, performance, precision, and power of QNN. You will work with the latest and greatest DNNs emerging from the research community. You will also have to keep up with the fast pace development happening in the industry and academia to continuously enhance our benchmarking and validation infrastructure from software engineering as well as machine learning standpoint.

Preferred Qualifications

• Strong exposure to software testing methodologies and reporting.
• Experience with CI tools like Jenkins and Data visualization tools like Power BI, Tableau
• Development experience in Python & C++

Work Experience

1 to 6 years of relevant work experience in software dev/test development

Educational Requirements

Master’s/Bachelor's Computer Science, Computer Engineering, or Electrical Engineering

Equal Opportunity Employer

Qualcomm equal 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‑[e-mail] 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.