Engineer, -AI and Machine Learning with embedded/C - Qualcomm

Polluxa, Inc.; Telangana; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Qualcomm, based in Hyderabad, seeks a software engineer for embedded and edge AI work. You will design, develop, validate software and runtimes enabling GenAI inference on Snapdragon platforms with minimal cloud dependency.

Requirements include strong C/C++ skills, embedded OS concepts, and experience optimizing AI workloads for CPU/GPU/NPU accelerators; collaboration with hardware and software teams is essential.

Qualifications

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field with 4+ years of software engineering experience.
• 2+ years of programming in C, C++, Java, Python, etc.
• AI/ML inference SDK development on embedded systems; not model training.
• Strong Embedded experience is mandatory.

Responsibilities

• Lead development and commercialization of Qualcomm AI Runtime for edge inference.
• Deploy large C/C++ software stacks with best practices for GenAI on-device.
• Stay updated on GenAI advances and edge deployment considerations.

Skills

C

C++

Java

Python

Embedded systems

GenAI inference on device

Education

Bachelor's degree in Engineering/CS

Tools

OS concepts

Job description

Company:

Job Area:

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 and 4+ years of Software Engineering or related work experience.
• 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
• These positions are strictly for AI/ML inference SDK development on embedded systems — not Applied AI, Data Science, or ML model training roles.
• Strong Embedded experience is mandatory.
• Job location: Hyderabad

Team:

Join the exciting AI software team at Qualcomm focused on integrating cutting edge GenAI models on Qualcomm chipsets. The team uses Qualcomm chips’ extensive heterogeneous computing capabilities to allow inference of GenAI models 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.

Responsibilities: In this role, you will spearhead the development and commercialization of the Qualcomm AI Runtime. As an AI inferencing expert, you'll push the limits of performance from large models. Your mastery in deploying large C/C++ software stacks using best practices will be essential. You'll stay on the cutting edge of GenAI advancements, understanding LLMs/Transformers and the nuances of edge-based GenAI deployment. Most importantly, your passion for the role of edge in AI's evolution will be your driving force.

Requirements:

Master’s/bachelor’s degree in computer science or equivalent. 9- 15 years of relevant work experience in software development. (We have openings at multiple levels)

Strong in C++ programming, Design Patterns and OS concepts.

Experience with optimizing algorithms for AI hardware accelerators (like CPU/GPU/NPU). Strong in C/C++ programming, Design Patterns and OS concepts. Understanding of Generative AI models – LLM, LVM, LMMs and building blocks (self-attention, cross attention, kv caching etc.)

Floating-point, Fixed-point representations and Quantization concepts.