Embedded Signal Processing Engineer

Special Notice: This position is NOT contingent upon awarding of a project or needing a funding source. This is full-time employment with webAI. About Us: webAI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. We recognize the evolving demands of a data-driven society for scalability and flexibility, and we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation. Our mission is to build a future where a company's valuable data and intellectual property remain entirely private, enabling the deployment of large-scale AI models directly on standard consumer hardware without compromising the information embedded within those models. We are developing an end-to-end platform that is secure, scalable, and fully under the control of our users, empowering enterprises with AI that understands their unique business. We are a team driven by truth, ownership, tenacity, and humility, and we seek individuals who resonate with these core values and are passionate about shaping the next generation of AI. About the Role: We are seeking an Embedded Signal Processing Engineer to support our Public Sector initiatives focused on building and optimizing production ready AI systems for secure and distributed environments. This role sits at the intersection of real-world tactical hardware, machine learning, signals processing, and multisensor engineering, translating them into autonomous field deployment. You will be responsible for deploying and prototyping AI models into embedded hardware systems for government edge environments in restricted and/or disconnected environments. Responsibilities: - Coordinate with AI and Network Software Engineers to design low-latency multi-node communication frameworks in restricted and/or disconnected environments. - Quantize, compile, and deploy real-time multi-agent pipelines for r