Sr. Lead/Sr. Engineer– Enterprise AI Platform
Qualcomm · Bangalore · 2+ yrs experience · Posted 2026-06-20
Tech stack: C, C++, Java, Python
About the role
Qualcomm India Private Limited
Engineering Group, Engineering Group > Software Engineering
Responsibilities: - 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.
- Join the team building Qualcomm’s
- Enterprise-Grade Generative AI Platform.
- We are at the forefront of the AI revolution, developing
- State-of-the-Art (SOTA) agentic applications designed to hyper-charge productivity across all Qualcomm business units.
- Our mission extends beyond internal tools; we are building a robust infrastructure by exposing
- Model SDKs, Frameworks, and Application APIs that empower other teams to build their own custom AI solutions.
- We operate at scale, solving complex challenges related to ultra-low latency, high-throughput scalability and the seamless orchestration of on-premises and cloud-based data systems.
Qualifications: - Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
- Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
- PhD in Engineering, Information Systems, Computer Science, or related field.
- 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
- As a Platform Engineer, you will build the backbone of our AI ecosystem, ensuring our data pipelines and services are robust, scalable, and efficient.
- Focus: Infrastructure, Data Engineering, and Scalable Backend Systems
Qualifications
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
- Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
- PhD in Engineering, Information Systems, Computer Science, or related field.
- 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
- As a Platform Engineer, you will build the backbone of our AI ecosystem, ensuring our data pipelines and services are robust, scalable, and efficient.
- Focus: Infrastructure, Data Engineering, and Scalable Backend Systems
Responsibilities
- 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.
- Join the team building Qualcomm’s
- Enterprise-Grade Generative AI Platform.
- We are at the forefront of the AI revolution, developing
- State-of-the-Art (SOTA) agentic applications designed to hyper-charge productivity across all Qualcomm business units.
- Our mission extends beyond internal tools; we are building a robust infrastructure by exposing
- Model SDKs, Frameworks, and Application APIs that empower other teams to build their own custom AI solutions.
- We operate at scale, solving complex challenges related to ultra-low latency, high-throughput scalability and the seamless orchestration of on-premises and cloud-based data systems.