Qualcomm China
Beijing, Shanghai, Shenzhen
General Summary:
We are looking fa highly skilled IoT AI Software Product Manager with a strong algorithmic background in Large Language Models (LLMs), Vision Language Models (VLMs), Vision Language Action Models (VLAs). The ideal candidate will have a proven track record at a leading large model company be capable of driving ecosystem business collaborations within the LLM/VLM/VLA domain. The individual will be key in extending Qualcomm’s ecosystem fIoT AI-powered solutions, including AI Box, aligning with our long-term goal of cultivating an open, thriving AI algorithm ecosystem in the Industrial Edge IoT markets. This role will be crucial in helping us shape a path forward where we empower external algorithm partners rather than competing directly with them, ensuring sustainable business growth fQualcomm in the Industrial Edge IoT sectors.
Responsibilities:
1. Collaborate effectively with the IoT AI SW Product Management team cross-functional leaders to execute product strategy roadmap in the Industrial Edge IoT markets, including AI Box.
2. Establish drive business ecosystem partnerships with leading LLM/VLM/VLA companies to expQualcomms software ecosystem within IoT, including AI Box sector.
3. Identify explore new IoT business opportunities by leveraging existing models collaborating on joint development with LLM/VLM/VLA ecosystem players, specifically targeting AI Box applications.
4. Support cross-functional teams (Engineering, BU, CE) in the integration of LLM/VLM/VLA technologies Qualcomm’s existing future IoT AI Box platforms.
5. Partner with internal external stakeholders to ensure seamless collaboration across product engineering teams fsuccessful product development delivery.
6. Manage product launches communicate effectively to customers, vendors, senimanagement.
7. Serve as a subject matter expert in LLM/VLM/VLA algorithms, offering insights the integration of emerging AI technologies Qualcomm’s IoT AI Box portfolio.
8. Track industry developments of LLM/VLM/VLA in IoT domains, ensuring Qualcomm remains competitive in both technology business collaborations.
9. Develop present technical business strategies, including roadmaps, to key stakeholders customers to gain alignment buy-in.
Minimum Qualifications:
1. Bachelor’s degree in Computer Science, Engineering, AI/ML, related field.
2. 2+ years of experience in AI machine learning algorithm development, particularly in LLM/VLM/VLA domains.
3. Experience in a leading large model company with direct exposure to ecosystem development business collaboration.
4. Strong understanding of algorithm trade-offs (e.g., performance, accuracy, power consumption) in the context of Industrial Edge IoT applications.
5. Proven success in managing AI software products driving go-to-market strategies, with a focus on partner-driven ecosystems in IoT AI Box.
6. Familiarity with popular AI toolchains such as NVIDIA’s TensorRT foptimizing AI models.
7. Experience in building operating data feedback loops fAI systems, as exemplified by concepts like Tesla’s data-driven closed-loop system fautonomous driving.
8. Excellent communication skills, with the ability to present complex concepts clearly to internal teams, customers, executive management.
9. Fluency in English Chinese is required.
Preferred Qualifications:
1. Master’s degree in Computer Science, Engineering, AI/ML, related field.
2. 3+ years of experience with large-scale AI model development, including training, deployment, performance optimization.
3. Expertise in LLM/VLM/VLA application development, e.g. Fine-tuning, RAG, Prompt engineering technologies.
4. Deep understanding of LLM/VLM/VLA technologies such as GPT, Stable Diffusion, Llama, Qwen, Deepseek, SigLIP, VILA, OpenVLA, Physical Intelligence π.
5. Track record of establishing strategic partnerships collaborating with both external vendors cross-functional teams.
6. Knowledge of the latest trends innovations in AI ML ecosystems, with a strong focus on AI-driven IoT solutions.
This role offers the opportunity to build drive Qualcomm’s IoT AI algorithm solution ecosystem, contributing significantly to the company’s success in the rapidly evolving Industrial Edge IoT markets. Your ability to foster collaboration with algorithm partners grow a robust IoT AI ecosystem will be key to achieving long-term business growth.
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