Sonatus
Sonatus builds cloud-to-edge software for software-defined vehicles, including its Fastlane Platform that helps automotive OEMs and suppliers manage data, networking, and in-vehicle services with AI. It licenses its platform and tools to carmakers and Tier‑1s, and its technology is deployed in more than 8 million vehicles. Founded in 2018 and headquartered in Sunnyvale, California, the company is privately held with offices across North America, Europe, and Asia.
Open Positions at Sonatus
10 open positions
Build high-performance, data-driven C++ applications for edge computing platforms inside connected vehicles. This role offers the opportunity to develop production automotive software that powers software-defined vehicles.
Build and deploy production-grade AI on automotive edge devices, bringing up runtimes, onboarding models, and validating them in real vehicles. This hands-on, customer-facing role combines embedded software, ML deployment, model tuning, and on-site vehicle integration in Korea.
Lead the creation of next-generation agentic AI applications for software-defined vehicles, transforming customer problems into production-ready solutions. This high-impact technical leadership role spans problem framing, architecture, data pipelines, and deployment.
Sonatus is hiring Staff Cloud Backend Engineers to design, build, and optimize scalable cloud services powering automotive software platforms. The role combines deep backend and cloud-native engineering with technical leadership, architecture, and mentorship.
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 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.
Build and optimize high-performance embedded software for next-generation software-defined vehicles. You’ll develop in-vehicle applications, connectivity middleware, and platform services running on automotive-grade compute platforms.
Sonatus is seeking a Staff System Test Automation Engineer to lead testing for AI-driven embedded and cloud-connected automotive systems. The role combines system-level test automation, AI model deployment and validation, and release quality ownership in a hybrid Sunnyvale environment.