1 day ago
Base Salary
$158k - $238k/yr
Responsibilities
- Lead and plan the design, implementation, verification, integration, testing, and performance optimization of embedded ML software.
- Develop optimized ML kernels, compilers, and other tools that leverage hardware-specific features.
- Optimize TensorFlow and PyTorch-based ML algorithms for ARM processors, DSPs, GPUs, and other embedded hardware.
- Collaborate with hardware teams on joint design and development for mobile, edge, automotive, and IoT products.
- 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 field.
- Three years of experience in a related occupation.
- Experience developing software in C, C++, or Python for embedded systems and optimizing ML software for specialized hardware.
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About Qualcomm
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.