Performance & Modeling Engineer

Company

Qualcomm China

Job Area

Engineering Group, Engineering Group > Software Engineering

General Summary

Qualcomm Cloud AI is seeking an experienced Performance & Modeling Engineer to deploy, enable, benchmark, and optimize state-of-the-art AI models on Qualcomm Cloud AI platforms. In this role, you will leverage Qualcomm Cloud AI toolchains to rapidly bring up industry-leading AI workloads, analyze performance bottlenecks, drive model accuracy and performance optimization, and deliver best-in-class inference efficiency for cloud-scale AI deployments.

Key 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.

Required Qualifications

• Master's degree or above in Computer Science, Artificial Intelligence, Mathematics, Electrical Engineering, or related fields.
• Good verbal and written English communication skills to effectively collaborate across global teams.
• 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.

Preferred 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.

Minimum Qualifications

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.

OR

Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.

OR

PhD in Engineering, Information Systems, Computer Science, or related field.

• 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [email protected] or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process.

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