Engineer/Associate Engineer - AI Platform at Qualcomm Technologies International Ltd

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

02 Oct, 26

Salary

0.0

Posted On

04 Jul, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Java, C++, REST APIs, FastAPI, Flask, SQL, NoSQL, Vector Databases, Generative AI, Large Language Models, RAG, Docker, Kubernetes, Git, CI/CD

Industry

Semiconductor Manufacturing

Description

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Software Engineering 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. About the Team We are Qualcomm’s Enterprise AI team, focused on accelerating AI adoption across the organization. Our team builds end-to-end AI solutions that empower engineering teams through intelligent automation and developer productivity. Our work spans a broad spectrum of AI engineering, including: Enterprise AI platforms and developer tools. AI agents and agentic workflows. Large Language Model (LLM) applications and post-training pipelines. Model deployment and inference at enterprise scale. Retrieval-Augmented Generation (RAG), knowledge systems, and AI infrastructure. Close collaboration with domain engineering teams to solve real-world problems using cutting-edge AI technologies. As part of the team, you’ll have the opportunity to work on large-scale AI systems that are shaping the future of software engineering within Qualcomm. Candidate Requirements Bachelor's or Master's degree in Computer Science or a related field from a reputed institution. Strong academic record, preferably CGPA/GPA of 8.5+. 0–1 year of experience; exceptional fresh graduates are encouraged to apply. Strong foundation in Data Structures & Algorithms, Operating Systems, Computer Networks, DBMS, and Object-Oriented Programming. Demonstrated ability to write clean, efficient, and scalable code with strong problem-solving skills. Good understanding of backend systems, software engineering principles, and development best practices. Passion for learning AI technologies and building impactful software solutions. Preferred Technical Skills Candidates with exposure to the following technologies and concepts will have an advantage: Programming: Python, Java (preferred), C++, or similar programming languages. Backend Development: REST APIs, FastAPI/Flask, microservices, distributed systems, and software design principles. Databases: SQL, NoSQL, data modeling, and vector databases. Data Engineering: ETL pipelines, data processing, and data management fundamentals. Artificial Intelligence & Machine Learning: Machine Learning fundamentals, Deep Learning basics, and practical experience with Generative AI. Large Language Models (LLMs): Prompt engineering, context engineering, Retrieval-Augmented Generation (RAG), AI agents, embeddings, and model orchestration frameworks. Cloud & DevOps (Preferred): Docker, Kubernetes, Git, CI/CD, and cloud platforms such as AWS, Azure, or GCP. Software Engineering: Strong debugging skills, system design fundamentals, testing, and version control using Git. 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 embedded and cloud edge software to build end-to-end AI solutions and developer tools. Collaborate with cross-functional teams to implement AI agents, LLM applications, and scalable inference infrastructure.