AI Engineer

Join a high-performing team at Sonatus that’s redefining what cars can do in the era of Software-Defined Vehicles (SDV).

At Sonatus, we’re driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can’t keep pace with consumer expectations shaped by the mobile industry—where features evolve rapidly, update seamlessly, and improve continuously. That’s why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 5 million vehicles on the road today and rapidly expanding.

Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we’re solving some of the most interesting and complex challenges in the industry. Join us and help redefine what’s possible as we shape the future of mobility.

Duties and Responsibilities

• Lead efforts to leverage existing AI models and frameworks to solve complex business challenges.
• Conduct the full cycle of data modeling and algorithm development, including modeling, training, tuning, validating, deploying, and maintaining services, (AI breadth).
• Stay current with industry trends and advancements in data science and AI technologies. (State-of-the-Art)
• Strong domain expertise in the AI area, including LLM, Computer Vision, Time Series, RAG, fine-tune large models, traditional ML models, etc. (AI depth)
• Perform data analysis and offer insights to inform business decisions across multiple domains.
• Adhere to data privacy and security protocols to uphold the confidentiality of sensitive information.
• Collaborate with cross-functional teams to understand requirements and translate them into effective AI and data science solutions.
• Document and communicate technical designs, processes, and best practices to stakeholders using visualizations and presentations.
• Take charge of projects, ensuring timely completion in a dynamic work environment.

• Master’s or PhD in Computer Science, Engineering, Mathematics, Applied Sciences, or a related field preferred. Bachelor’s degree required.
• Strong programming skills in languages such as Python, Java, or C++, with hands-on experience in relevant frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• In-depth knowledge and understanding of current machine learning algorithms, AI technologies, and platforms.
• Solid experience in data preprocessing, feature engineering, and model evaluation techniques.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.
• Strong knowledge of software development best practices, version control systems, and agile methodologies.
• Results-driven with a positive can-do attitude and excellent problem-solving skills.
• Exceptional verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams.
• Experience in the automotive industry is highly desirable.