3 days ago
Shanghai, China or Beijing, ChinaSenior
Responsibilities
- Integrate, deploy, and validate AI software stacks on Qualcomm Cloud AI platforms.
- Enable, deploy, and evaluate LLM, MoE, and multimodal AI models.
- Develop and execute functional, performance, and regression testing.
- Build and maintain automated test and validation frameworks.
- Analyze performance bottlenecks and drive system-level optimization.
- Collaborate across teams to ensure software quality, scalability, and release readiness.
- Support customer deployment, platform bring-up, performance tuning, debugging, and production readiness.
Requirements
- Master's degree or above in Computer Science, Artificial Intelligence, Electrical Engineering, or a related field; Qualcomm's minimum qualifications also allow a bachelor's degree with 2+ years of experience, a master's degree with 1+ year, or a PhD.
- Five or more years of experience in Cloud AI, AI infrastructure, machine learning systems, or high-performance computing.
- Strong experience with Python and Linux development environments.
- Hands-on experience deploying and optimizing large language models in cloud environments.
- Strong understanding of Transformer architectures, LLMs, and MoE models.
- Experience with AI benchmarking, performance analysis, and workload characterization.
- Strong experience with one or more of PyTorch, TensorFlow, ONNX, or JAX.
- At least 2 years of academic or work experience with a programming language such as C, C++, Java, or Python.
- Strong debugging, analytical, problem-solving, and English communication skills.
- Preferred experience includes vLLM, SGLang, TensorRT-LLM, TGI, LLM-D, distributed inference, model serving, large-scale AI deployments, quantization, KV-cache optimization, speculative decoding, Kubernetes, Docker, cloud-native AI infrastructure, AI accelerators, and automated validation or CI/CD systems.
Categories
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.