Sonatus

Lead the architecture and development of production-grade agentic AI applications that solve complex real-world problems for software-defined vehicles. This Staff AI Engineer role combines LLMs, agent frameworks, RAG, data orchestration, and evaluation in a high-impact automotive technology environment.

Join Sonatus as a Senior Software Engineer focused on integrating software modules, building customer-specific prototypes, and solving complex automotive and networking challenges. This customer-facing role combines hands-on systems integration with technical presentations, troubleshooting, and customer enablement.

Build production-grade agentic AI systems that interact with millions of software-defined vehicles in real time. This hands-on Senior Staff role combines multi-agent orchestration, LLM safety, model development, and global cloud deployment.

Lead the development of production-grade Edge AI for self-aware vehicle health monitoring, failure prediction, and fleet reliability. You’ll own the end-to-end ML pipeline from data ingestion and model training through optimization and deployment on resource-constrained automotive devices.

Lead the development of production-grade Edge AI for intelligent vehicle health monitoring, failure prediction, and real-time diagnostics. This hybrid Sunnyvale role owns the end-to-end machine learning pipeline, from data ingestion and model training through optimization and deployment on constrained automotive devices.

Lead the development of AI-driven analytics and modeling solutions for software-defined vehicles at Sonatus. This Staff AI Engineer role combines large-scale data exploration, machine learning, and agentic AI application development to solve complex customer problems.

Lead the design and optimization of scalable SQL and NoSQL database systems powering data-intensive, AI-enabled vehicle software. This role combines database architecture, time-series and OLAP/OLTP expertise, cloud infrastructure, and technical mentorship.

Lead the development of production-grade Edge AI for self-aware vehicle health monitoring and failure prediction. You will own the full ML lifecycle, from data ingestion and model training through optimization and deployment on resource-constrained automotive devices.