Lead Engineer, Senior-Machine Learning, embedded, C++

Qualcomm

Job Summary

As a Lead Engineer, Senior-Machine Learning, embedded, C++ at Qualcomm, you will join the Generative AI team to integrate cutting-edge GenAI models on Qualcomm chipsets. This involves designing, developing, modifying, and validating embedded and cloud edge software, applications, and utility programs. You will leverage Qualcomm chips' heterogeneous computing capabilities for on-device inference of GenAI models, optimizing performance for Large Language Models (LLMs) and Large Vision Models (LVMs) at high speeds with low power consumption. The role requires collaboration with various engineering teams to deliver world-class products.

Must Have

  • Spearhead QAIRT SDK development on Qualcomm SoCs
  • Optimize performance of large AI models
  • Deploy C/C++ software stacks with best practices
  • Understand GenAI advancements and edge deployment
  • Master's/Bachelor's degree in computer science or equivalent
  • 6+ years of relevant work experience in software development
  • Strong understanding of Generative AI models (LLM, LVM, LMMs)
  • Knowledge of floating-point, fixed-point, and quantization concepts
  • Experience optimizing algorithms for AI hardware accelerators
  • Proficiency in C/C++ programming, Design Patterns, and OS concepts
  • Good Python scripting skills

Good to Have

  • Strong understanding of SIMD processor architecture and system design
  • Proficiency in object-oriented software development
  • Familiarity with Linux and Windows environment
  • Strong background in kernel development for SIMD architectures
  • Familiarity with frameworks like llama.cpp, MLX, and MLC
  • Good knowledge of PyTorch, TFLite, and ONNX Runtime
  • Experience with parallel computing systems and languages like OpenCL and CUDA

Perks & Benefits

  • World-class health benefit options
  • Programs to build and prepare for a financially secure future
  • Self and family resources for emotional/mental strength and resilience
  • Wellbeing programs and resources for Live+Well and Work+Well
  • Continuous learning and development programs
  • Tuition reimbursement
  • Mentorships

Job Description

Job Description

Job Posting Date

2026-01-04

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 3+ years of Software Engineering or related work experience.

OR

  • Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.

OR

  • PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
  • 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.

Job Description

Join the exciting Generative AI 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. Utilize this power efficient hardware and Software stack to run Large Language Models (LLMs) and Large Vision Models (LVM) at near GPU speeds!

Responsibilities:

In this role, you will spearhead the development and commercialization of the Qualcomm AI Runtime (QAIRT) SDK on Qualcomm SoCs. 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.
  • 6+ years of relevant work experience in software development.
  • Strong 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.
  • Experience with optimizing algorithms for AI hardware accelerators (like CPU/GPU/NPU).
  • Strong in C/C++ programming, Design Patterns and OS concepts.
  • Good scripting skills in Python.
  • Excellent analytical and debugging skills.
  • Good communication skills (verbal, presentation, written).
  • Ability to collaborate across a globally diverse team and multiple interests.

Preferred Qualifications

  • Strong understanding of SIMD processor architecture and system design.
  • Proficiency in object-oriented software development and familiarity
  • Familiarity with Linux and Windows environment
  • Strong background in kernel development for SIMD architectures.
  • Familiarity with frameworks like llama.cpp, MLX, and MLC is a plus.
  • Good knowledge of PyTorch, TFLite, and ONNX Runtime is preferred.
  • Experience with parallel computing systems and languages like OpenCL and CUDA is a plus.

Perks and Benefits

Health

Qualcomm offers a world-class health benefit option providing world-class coverage to employees and their eligible dependents.

Wealth

Our programs are designed to help employees build and prepare for a financially secure future.

Self

Our self and family resources help you build emotional/mental strength and resilience, as well as define your purpose — in life and at work.

Wellbeing

Qualcomm’s wellbeing programs and resources offer support to help employees Live+Well and Work+Well, so they can unlock their full potential at home, at work, and everywhere between.

Unlock Your Limitless Potential with Qualcomm

Whether you’re launching a new career or ready to explore what’s next in the evolution of your talent and expertise, you’re about to embark on a career growth journey like no other.

Bring out your best, with the best

Our employees make Qualcomm’s success possible. We hire the brightest minds and foster a supportive, inclusive culture where your ideas have the power to contribute to world-changing innovations and breakthrough technologies. To make that possible, we leverage the breadth and depth of our diverse expertise from around the world to answer the unasked, conquer the complex, and solve some of the biggest challenges only we can – together.

Innovate with technology experts

At Qualcomm, we are passionate about the limitless potential of your career. Only here can you work alongside some of the most respected, leading engineering and technology experts in the industry – helping you learn and grow professionally in ways you haven’t yet imagined.

Live well, work well

Additionally, you’ll have access to programs such as our continuous learning and development programs, tuition reimbursement, and mentorships to tap into your limitless potential – plus, opportunities to enhance your quality of life through our comprehensive, best-in-class benefits offerings.

The work we do at Qualcomm impacts lives around the globe – and you can be part of it. Apply today and unlock your full potential.

14 Skills Required For This Role

Communication Problem Solving Design Patterns Cpp Game Texts Cuda Opencl Linux Pytorch Python Algorithms Java System Design Machine Learning

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