Qualcomm

Engineer, Senior- AI,embedded, C++ with ML

Qualcomm
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1 day ago
Hyderābād, IndiaSenior

Responsibilities

  • Design, develop, and test documentation enhancement workflows, documentation pipelines, and usability feature automation.
  • Develop production-quality Python and C++ tools for Qualcomm AISW Product SDK developer-first features.
  • Collaborate with cross-functional and external teams to integrate and deliver developer-first tools and processes.
  • Build unit, integration, and on-device validation tests and contribute to CI and product release review workflows.
  • Integrate and improve AI-agent-assisted documentation generation, review, testing, customer support, build, test, CI/CD, and developer-tooling workflows.

Requirements

  • Bachelor’s degree in Engineering, Information Systems, Computer Science, or a related field, or equivalent experience; a master’s degree is preferred.
  • At least two years of hands-on Python/C++ development in performance-sensitive systems or SDKs.
  • Proficiency in Python for tooling, automation, conversion pipelines, test frameworks, and data handling.
  • Experience with automated generation and maintenance of complex software or product documentation.
  • Experience with Linux development, CMake/Ninja build systems, Git, Gerrit, and CI.
  • Programming and debugging experience in multiple languages, preferably Java and C++.
  • Experience debugging on-device using logs, traces, performance counters, and profilers.
  • Experience with AI/ML toolchains or runtimes such as ONNX, PyTorch, TensorFlow, TFLite, TVM, or XLA.
  • Familiarity with QNN/QAIRT SDKs or comparable inference SDKs, on-target validation, release testing, profiling, and software optimization.

Tech Stack

Categories

Qualcomm

About Qualcomm

10,000+ employees

Qualcomm is a public semiconductor company headquartered in San Diego, founded in 1985, that designs and sells wireless chipsets and platforms for mobile devices, automotive, IoT, and networking, notably the Snapdragon application processors and 5G modems. It also licenses a large portfolio of cellular patents to device makers, generating revenue alongside chip sales; its technology underpins many Android smartphones and emerging automotive and edge-compute systems, and it trades on NASDAQ as QCOM.

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