5 days ago
Hyderābād, IndiaSenior
Responsibilities
- Develop and commercialize the Qualcomm AI Runtime SDK on Qualcomm SoCs.
- Deploy and optimize large generative AI models, including LLMs and vision models, for on-device inference.
- Build and maintain large C/C++ software stacks using software engineering best practices.
- Optimize algorithms for CPU, GPU, NPU, and other AI hardware accelerators.
- Collaborate with systems, hardware, architecture, test, and globally distributed engineering teams.
Requirements
- Bachelor’s, master’s, or PhD in computer science, engineering, information systems, or a related field, or equivalent qualification.
- At least 4 years of relevant software development experience; the minimum qualifications also specify 3+ years with a bachelor’s, 2+ with a master’s, or 1+ with a PhD.
- At least 2 years of academic or professional experience with programming languages such as C, C++, Java, or Python.
- Strong understanding of generative AI models, including LLMs, LVMs, LMMs, self-attention, cross-attention, and KV caching.
- Knowledge of floating-point and fixed-point representations and quantization.
- Strong C/C++ programming, design patterns, operating systems, scripting, analytical, and debugging skills.
- Preferred qualifications include SIMD architecture, system design, object-oriented development, kernel development, Linux, Windows, llama.cpp, MLX, MLC, PyTorch, TFLite, ONNX Runtime, OpenCL, and CUDA.
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.