1 day ago
Hyderābād, IndiaStaff+
Responsibilities
- Develop and commercialize the Qualcomm AI Runtime (QAIRT) SDK on Qualcomm SoCs.
- Build and optimize large C/C++ software stacks for GenAI inference.
- Deploy and improve the performance of LLMs, LVMs, and other large models on edge hardware.
- Optimize algorithms for CPU, GPU, and NPU AI hardware accelerators.
- Apply knowledge of GenAI architectures, transformers, attention mechanisms, and KV caching.
- Collaborate with systems, hardware, architecture, test, and globally distributed engineering teams.
Requirements
- Bachelor’s degree in computer science or equivalent, or the stated alternative engineering, information systems, computer science, or related degree qualifications.
- 6+ years of relevant software development experience, with formal minimum alternatives of 4+ years with a bachelor’s degree, 3+ with a master’s degree, or 2+ with a PhD.
- 2+ years of 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, fixed-point, and quantization concepts.
- Strong C/C++ programming, design patterns, operating systems, Python scripting, analytical, and debugging skills.
- Preferred qualifications include SIMD processor architecture, system design, object-oriented development, Linux, Windows, SIMD kernel development, llama.cpp, MLX, MLC, PyTorch, TFLite, ONNX Runtime, OpenCL, CUDA, and parallel computing.
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.