Senior Staff/Staff/Lead/Senior Engineer/Engineer -AI/Embedded, C++

QUALCOMM, Inc.

Hyderabad

Vor Ort

INR 1.200.000 - 2.400.000

Vollzeit

14 Tage+

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Zusammenfassung

QUALCOMM, Inc. is seeking a Software Engineer to design, develop, and validate embedded and cloud edge software that powers next-generation AI-enabled devices.

You will work with cross-functional teams to build system-level software for performance and power efficiency on Snapdragon platforms. The role focuses on AI/ML inference SDK development for on-device GenAI, requiring strong embedded experience and proficiency in C/C++ and related languages.

Qualifikationen

  • Bachelor's degree in Engineering/CS or related field with 2+ years software experience.
  • Master's degree in Engineering/CS with 1+ year software experience.
  • PhD in Engineering/CS or related field.
  • 2+ years experience with C, C++, Java, or Python.

Aufgaben

  • Develop and commercialize the Qualcomm AI Runtime; deploy large C/C++ software stacks for edge AI inference.

Kenntnisse

C++ programming
Design patterns
OS concepts
Java
Python
Debugging
Communication
Collaboration

Ausbildung

Bachelor's degree in Engineering, Information Systems, Computer Science
Master's degree in Engineering, Information Systems, Computer Science
PhD in Engineering, Information Systems, Computer Science

Jobbeschreibung

Job 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.

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.

Important Note
  • 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
Minimum Qualifications
  • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
  • OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
  • OR 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.
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/bachelors degree in computer science or equivalent.
  • 1- 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.
  • Excellent analytical and debugging skills.
  • Good communication skills (verbal, presentation, written).
  • Ability to collaborate across a globally diverse team and multiple interests.

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.

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