Staff Engineer - Developer Advocate

We are looking for Developer Advocates to enable developers building with generative AI and AI-driven hardware applications. You will engage with the community, create resources to onboard developers on our platforms. Qualcomm products touch multiple industries and applications. These applications span across mobile, laptops, mixed-reality, robotics, industrial IoT, among others. You will closely collaborate with product, engineering and regional sales teams to drive awareness and engagement for our platforms.  

You are a builder. You love to write code, more so, bring AI models to various applications. You can effortlessly integrate open-source models (Large or small), distilled models and embed them in applications. These could be language-based use-cases, computer-vision, audio or other applied areas of AI.  

You are a great community builder. You like to network, engage, ideate and help the ecosystem realize their development goals. You are a constant learner, you thrive on writing code, content, documentation, videos that enhances development experience for developers writing on Qualcomm hardware.  

Your experience and learnings from the community will drive product improvements. You will influence future feature prioritizations, improve tooling, foster ideas for collaboration. In the process, you will end up creating a rich repository of community contributed sample applications, content, tutorial, etc. You will also engage with community builders, influencers to seed sub-ecosystems for constant engagement and outreach.  

The ideal candidate has experience in building end to end applications for one or more of Computer Vision, Audio, LVM, LLM use cases using AI/ML tools/workflow on Linux/Windows for CPU, GPU and AI accelerators. 

Responsibilities: 

• Develop plans to engage with external developers focused on at least one of the following application areas: IoT, Automotive, Microsoft device ecosystem.  

• Cross-functional collaboration across software, hardware engineering, developer marketing and product management teams.  

• Understand trends in ML model design, and workflow through application developer engagements and latest academic research. 

• Develop and ensure sample application comprehensiveness for AI on Linux/Windows on Snapdragon to cover the gamut of models used, and use-cases including use of additional snapdragon optimized libraries outside of Snapdragon AI functions. 

• Interface with 3rd party application developers and other cross-site and cross-functional teams to arrive at easy-to-use sample application, and documentation that are directly leveraged by 3rd party app developers for Windows on Snapdragon 

• Contribute new features and designs to the Qualcomm AI toolkit to enhance the workflow experience of Application Developers 

Minimum Qualifications: 

• Bachelor's or advanced degree in computer science, artificial intelligence, or a related field. 

• and 6+ years of Software Engineering, Systems Engineering, or related work experience. 

Preferred Qualifications: 

• Excellent understanding of AI frameworks (e.g., TensorFlow, PyTorch), GPU programming, and parallel computing. Experience with large language models/foundational models' development and deployment a plus 

• Good Understanding of complete AI Software stack and familiarity with AI performance tuning techniques on GPU, NPU based systems 

• Experience with development of end-to-end AI application on Windows using Windows ML, DirectML 

• Experience in full workflow involved in training and deployment of models on servers and porting to client Windows compute platforms involving model inference deployment and performance tuning 

• Proficiency in programming languages such as Python, C++ 

• Excellent communication skills to articulate complex technical concepts to non-technical and technical stakeholders. 

• Strong leadership abilities to motivate and guide development teams. 

• Detail-oriented with strong problem-solving, analytical, and debugging skills 

• Demonstrated ability to learn, think and adapt in a fast-changing environment 

• Familiarity with software development methodologies, version control systems, and agile project management practices. 

• 12+ years’ experience in application development involving High Performance Computing with 5+ years in AI application development on Windows 

• Bachelors in Computer Science or Electrical Engineering