Qualcomm

Senior Machine Learning Software Engineer

Qualcomm
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1 day ago
Boulder, CO, USASenior
H1B sponsor

Base Salary

$127k - $190k/yr

Responsibilities

  • Design, implement, integrate, verify, and optimize embedded software for ARM processors and DSP or GPU-based hardware.
  • Develop optimized ML kernels, compilers, and other tools that leverage specialized hardware features.
  • Optimize machine learning frameworks and algorithms, including TensorFlow and PyTorch, for Qualcomm hardware.
  • Collaborate with hardware teams on joint software and hardware design and development.
  • Coordinate dependencies, improve development processes through tooling, assist with deliverable verification, and contribute to design reviews and project meetings.

Requirements

  • Master’s degree or foreign academic equivalent in electrical engineering, computer engineering, computer science, or a related degree field.
  • Experience designing and implementing software in C, C++, or Python is required by the described responsibilities.
  • Ability to work with embedded software, machine learning frameworks, hardware-specific optimization, and software verification.

Tech Stack

CC++PythonPyTorchTensorFlow
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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