…OR PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related…

…with tool calling components Integrate multimodal models with audio, image and video modalities for efficient on-device inference Build tooling for visualization, logging, debugging…

…inference integration. * Contribute to internal and external research, including science reviews, technical publications, and patent filings in collaboration with senior scientists. * Apply multi-modal…

…Software Engineer, IT Consultant, or related occupation. The employer will alternatively accept a Bachelor's degree in Computer Engineering, Electrical Engineering, Communications Engineering, Computer…

…Partner closely with Product, Design, Frontend engineers, ML engineers, and Infrastructure teams to build a deeply personalized, multimodal conversational experience. Shape the architecture for…

…PhD in Computer Science, Machine Learning, or Robotics, with a research focus on Reinforcement Learning, Foundation Models, or Multi-Modal learning. Substantial involvement in…

…Proficient in Python programming, software design, debugging, performance analysis, test design and documentation. Consistent record of working effectively across multiple engineering initiatives and improving…

…software NICE TO HAVES - Experience with LLM inference engines and serving frameworks (e.g., vLLM, SGLang, TensorRT-LLM) in production - Experience with distributed/multi…

…OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or…

…System & Application Enablement Support multi-modal sensor data acquisition, sensor fusion, and edge AI inference workflows Contribute to hardware–software integration for efficient system…

…embedded/software, manufacturing, and business/finance stakeholders, and translating analysis into decisions they trust. Experience working with large-scale, messy, multi-modal operational data…