Software Integration & Test Engineer

Company:

Qualcomm China

Job Area:

General Summary:

Qualcomm Cloud AI is seeking an experienced Software Integration & Test Engineer to enable, validate, benchmark, and optimize large-scale AI workloads on Qualcomm Cloud AI accelerator platforms. You will work closely with architecture, runtime, compiler, kernel, and system software teams to deliver industry-leading AI performance and deployment readiness.

Key Responsibilities

• Integrate, deploy, and validate AI software stacks on Qualcomm Cloud AI platforms.
• Enable, deploy and evaluate state-of-the-art AI models, including LLMs, MoE, and multimodal models.
• Develop and execute functional, performance, and regression testing.
• Analyze performance bottlenecks and drive system-level optimization.
• Build and maintain automated test and validation frameworks.
• Collaborate across teams to ensure software quality, scalability, and release readiness.
• Support customer deployment, bring-up, performance tuning, debugging, and production readiness.

Required Qualifications

• Master's degree or above in Computer Science, Artificial Intelligence, Electrical Engineering, or a related field.
• Good verbal and written English communication skills to effectively collaborate across global teams.
• Strong experience with Python and Linux development environments.
• 5+ years of experience in Cloud AI, AI infrastructure, machine learning systems, or high-performance computing.
• 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, and problem-solving skills.

Preferred Qualifications

• Experience with inference frameworks such as vLLM, SGLang, TensorRT-LLM, TGI, LLM-D, or similar solutions.
• Experience with distributed inference, model serving, and large-scale AI deployments.
• Familiarity with model optimization techniques such as quantization, KV-cache optimization, and speculative decoding.
• Experience with Kubernetes, Docker, and cloud-native AI infrastructure.
• Experience with AI accelerator platforms (GPU, NPU, TPU, or custom AI hardware).
• Experience developing automated validation, regression, or CI/CD systems.

Minimum Qualifications:

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. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

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