4 days ago
Taipei, TaiwanMid Level
Responsibilities
- Deliver technical presentations, demonstrations, and expertise on AI software systems to support business development and pre-sales activities.
- Design, develop, customize, commercialize, and maintain customer-specific Qualcomm software applications and proof-of-concept solutions.
- Deploy and optimize AI models across cloud, data center, on-premises appliance, and edge environments using the Qualcomm AI SDK.
- Collaborate with customers and cross-functional teams to investigate questions, debug issues, and troubleshoot software systems and applications.
- Gather customer feedback and challenges and communicate insights to product, engineering, and marketing teams for roadmap improvement.
Requirements
- Bachelor’s degree in engineering, science, information systems, computer science, or a related field with 2+ years of relevant experience; or a master’s degree with 1+ year of relevant experience; or a PhD in a related field.
- At least 1 year of academic and/or work experience with programming languages such as C, C++, Java, or Python.
- At least 1 year of academic and/or work experience with debugging techniques.
- Experience using machine learning frameworks such as PyTorch.
- Strong communication, teamwork, analytical, problem-solving, customer collaboration, and ability to learn new technologies.
- Preferred qualifications include knowledge of thermal management and BMC/IPMI, generative and agentic AI, Docker, edge AI model deployment and optimization, vLLM, and embedded Linux development and debugging.
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.