1 month ago
Shanghai, ChinaSenior
Responsibilities
- Integrate, deploy, and validate AI software stacks on Qualcomm Cloud AI accelerator platforms.
- Enable, deploy, and evaluate LLM, MoE, and multimodal AI models.
- Develop and execute functional, performance, and regression tests.
- Analyze performance bottlenecks and drive system-level optimization.
- Build and maintain automated test and validation frameworks.
- Collaborate with architecture, runtime, compiler, kernel, and system software teams on 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.
- At least 5 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 AI frameworks, including PyTorch, TensorFlow, ONNX, or JAX.
- Strong debugging, analytical, problem-solving, verbal communication, and written communication skills.
- Preferred experience with vLLM, SGLang, TensorRT-LLM, TGI, LLM-D, or similar inference frameworks.
- Preferred experience with distributed inference, model serving, large-scale AI deployments, Kubernetes, Docker, cloud-native AI infrastructure, and AI accelerator platforms.
- Preferred familiarity with quantization, KV-cache optimization, speculative decoding, and automated validation, regression, or CI/CD systems.
Tech Stack
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.