7 days ago
Hyderābād, IndiaStaff+
Responsibilities
- Develop, validate, and commercialize Qualcomm AI Runtime software for embedded and cloud-edge platforms.
- Build and maintain large C/C++ software stacks using software engineering best practices.
- Optimize algorithms and GenAI inference performance for CPU, GPU, and NPU hardware accelerators.
- Deploy and optimize LLMs, LVMs, and other transformer-based models for on-device Qualcomm chipset execution.
- Collaborate with systems, hardware, architecture, and test engineering teams on system-level software solutions.
Requirements
- Bachelor’s, master’s, or PhD in engineering, information systems, computer science, or a related field, or equivalent qualification.
- At least 6 years of software engineering experience with a bachelor’s degree, 5 years with a master’s degree, or 4 years with a PhD; the posting also references 15 years of relevant software development experience for one level.
- At least 3 years of experience with programming languages such as C, C++, Java, or Python.
- Strong hands-on C++ programming experience; Python alone and C alone are not sufficient.
- Strong knowledge of design patterns, operating-system concepts, analytical debugging, GenAI models, attention mechanisms, KV caching, quantization, and floating-point and fixed-point representations.
- Experience optimizing algorithms for AI hardware accelerators such as CPUs, GPUs, and NPUs.
- Ability to communicate effectively and collaborate across globally diverse teams.
Benefits
- Hyderabad location with five days onsite in the office; remote, Bangalore, and Pune arrangements are not available.
- Candidates outside Hyderabad must be willing to relocate.
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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.