Q

Qualcomm

Designs mobile chips and licenses wireless patents

Staff Engineer - Aisw, Software Engineering

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Engineering, Computer Science, or a related field and at least 4 years of software engineering or related work experience; or a master's degree in Engineering, Computer Science, or a related field and at least 3 years of experience; or a PhD in Engineering, Information Systems, Computer Science, or a related field and at least 2 years of experience.
  • At least 2 years of work experience with a programming language such as C, C++, Java, or Python.
  • Experience with software architecture and programming languages.
  • Experience with tools and frameworks such as PyTorch, TensorFlow, and ONNX.

Responsibilities

  • Lead the design, development, and implementation of AI and machine learning solutions across multiple domains.
  • Collaborate with cross-functional teams to integrate AI and machine learning components into the broader framework.
  • Mentor and coach junior engineers, providing development experiences and networking opportunities.
  • Address and resolve issues related to AI model optimization to ensure high model performance and accuracy.
  • Research industry trends and innovations in AI and machine learning and apply best practices to solutions and deliverables.
  • Develop and optimize quantization techniques for AI and machine learning models to ensure efficient execution on Qualcomm hardware.
  • Manage project timelines, objectives, and goals, ensuring efficient use of resources across functional areas.

Desired Qualifications

  • Excellent development skills in C++ and Python.
  • Proficiency in data structures and algorithms.
  • Hands-on expertise in deep learning frameworks such as ONNX and PyTorch.
  • In-depth knowledge of computer vision, natural language processing, large language models, generative AI, classification, and object-detection model architectures.
  • Understanding of 8-bit and 4-bit quantization and calibration algorithms.
  • Understanding of machine-learning compiler techniques and graph optimization.
  • Understanding of software design patterns and design philosophies, including SOLID principles.
  • Knowledge of machine-learning compilers such as TVM and Glow.
  • Knowledge of machine-learning runtimes such as ONNX Runtime and TensorFlow runtimes.

About the Company

Qualcomm

Designs mobile chips and licenses wireless patents

Qualcomm designs the Snapdragon processors and modems inside many Android phones, and it licenses its wireless patents to device makers around the world. It helped commercialize CDMA, the cellular technology behind 3G networks, and its patents cover core parts of the 4G and 5G standards that phones use to connect. The company does not run its own chip factories; contract foundries make its chips, which it sells to makers of phones, PCs, cars, and connected devices. Device makers also pay Qualcomm royalties for using its patented technology, which forms a second business alongside chip sales. Qualcomm was founded in 1985 and is based in San Diego, California.

Company size
10,001+
Company stage
IPO
Headquarters
San Diego, CA
Founded
1985

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