Performance & Modeling Engineer
Technology, Data & Digital · Software & Web Development · Software Engineering · Machine Learning · Data Science
In short
Qualcomm Cloud AI is looking for a Performance & Modeling Engineer in Beijing, China, to optimize state-of-the-art AI models on their platforms. This role involves deploying and analyzing AI models, driving performance optimizations, and supporting customer deployments.
Responsibilities
- Deploy and optimize LLM, MoE, and multimodal models on Qualcomm Cloud AI platforms.
- Analyze and improve model accuracy, latency, throughput, memory utilization, and scalability.
- Drive graph-level, framework-level, and system-level optimizations.
- Benchmark AI workloads and identify performance bottlenecks across the software and hardware stack.
- Work closely with compiler, runtime, kernel, and architecture teams to improve model enablement and performance.
- Support customer deployment, bring-up, performance tuning, and production readiness.
Requirements
- Master's degree or above in Computer Science, Artificial Intelligence, Mathematics, Electrical Engineering, or related fields.
- Good verbal and written English communication skills.
- Strong experience with Python, C++, and Linux development environments.
- 5+ years of experience in Cloud AI, LLM deployment, or AI infrastructure.
- Deep understanding of Transformer architectures, LLMs, and MoE models.
- Strong experience in graph optimization and model compilation workflows.
- Strong experience in model accuracy and performance optimization.
- Strong experience with one or more AI frameworks, including PyTorch, ONNX, TensorFlow, or JAX.
- Experience with AI serving frameworks such as vLLM, SGLang, TGI, TensorRT-LLM, or LMDeploy.
Desired Qualifications
- Familiarity with AI accelerator platforms and large-scale inference systems.
- Experience with Quantization, KV-Cache optimization, speculative decoding, continuous batching, Prefix Caching, Parallelism Strategies and distributed inference.
- Experience with performance modeling and analysis methodologies, including Roofline analysis, bottleneck identification across software and hardware stacks.
- Familiarity with open-source inference frameworks such as llama.cpp, Ollama, or MLC-LLM.
- Experience with Kubernetes, Docker, and cloud-native AI infrastructure.
Benefits
- Qualcomm is an equal opportunity employer.
- Qualcomm is committed to providing an accessible process for individuals with disabilities.
- Qualcomm is committed to making its workplace accessible for individuals with disabilities.
Skills
PythonC++LinuxPyTorchONNXTensorFlowJAXvLLMSGLangTGITensorRT-LLMLMDeployKubernetesDocker
#AI#LLM#Cloud AI#Performance#Modeling#Optimization#Inference
About Qualcomm
Enabling a world where everyone and everything can be intelligently connected.
Enabling a world where everyone and everything can be intelligently connected.\n\n
Company
QualcommJob Posted
1 week ago
Employment Type
Full Time
Work mode
On Site
Experience Level
Senior
Locations
Beijing, China
Qualification
Master, Bachelor, Doctoral
Applicants
Be an early applicant
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