Senior Staff Customer Engineer – Automotive AI Engineer

## About the Role As a Senior Staff Customer Engineer at Sonatus, you will play a pivotal role in driving the transformation to AI-enabled software-defined vehicles. You will work closely with automotive OEMs and Tier-1 suppliers to identify and prioritize high-impact AI-driven use cases, guiding customers towards scalable and high-leverage solutions. Your expertise in AI, machine learning, and data engineering will be pivotal in shaping the future of mobility.

The Customer Engineering team at Sonatus operates in a forward-deployed engineering model, working closely with customer engineering teams to deliver end-to-end solutions from problem definition to deployment. As a senior member of this team, you will be responsible for integrating and deploying AI capabilities on top of the Sonatus AI platform within cloud environments, ensuring seamless interaction with vehicle-side systems and data.

Sonatus is headquartered in Sunnyvale, CA, with over 250 employees worldwide, combining the agility of a fast-growing company with the scale and impact of an established partner. This role offers the opportunity to work on cutting-edge technologies that directly impact how OEMs design, deploy, and enhance their vehicles.

## What You Will Do - Partner with automotive OEMs and Tier-1 suppliers to identify, shape, and prioritize high-impact AI-driven use cases - Act as a trusted advisor to customers by shaping problem definition, challenging assumptions, and guiding technical decision-making towards scalable AI solutions - Drive alignment and adoption of solutions by clearly articulating trade-offs, ROI, and long-term architectural implications to technical and executive stakeholders - Design, integrate, and deploy AI/ML-based solutions across cloud and in-vehicle environments, enabling end-to-end vehicle-to-cloud use cases with reliable data flow and system interoperability - Develop and iterate AI models, PoCs, and production-ready solutions, continuously improving performance based on real-world data and customer feedback - Lead technical discussions and solution reviews focused on AI feasibility, model performance, trade-offs, and system limitations - Identify risks related to AI deployment and integration and drive mitigation strategies - Collaborate with internal teams to enhance AI capabilities, model deployment pipelines, and platform scalability

## What We Are Looking For - Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s or PhD preferred) - 12+ years of experience in AI/Machine Learning, Data Engineering, or related domains, with exposure to automotive software or vehicle systems - Solid understanding of machine learning, data analytics, and AI-based systems, including practical experience delivering AI solutions - Experience working with cloud environments and integrating AI capabilities with vehicle-side systems and data - Strong technical leadership and collaboration skills, with the ability to guide technical decision-making and drive alignment among stakeholders - Excellent communication and problem-solving skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders

## Nice to Have - Experience working with automotive OEMs and Tier-1 suppliers - Knowledge of vehicle-to-cloud use cases and system interoperability - Familiarity with AI model deployment pipelines and platform scalability - Experience with agile development methodologies and version control systems

## Benefits and Perks - Competitive salary and benefits package - Opportunity to work on cutting-edge technologies that are transforming the automotive industry - Collaborative and dynamic work environment with a team of experienced engineers and industry experts - Professional development opportunities, including training and education programs - Flexible working hours and remote work options - Access to the latest tools and technologies - Recognition and reward for outstanding performance and contributions

- Tip: To stand out in your application, highlight your experience in delivering AI solutions in the automotive industry, and be prepared to discuss your approach to integrating AI capabilities with vehicle-side systems and data.

• Ensure your portfolio includes examples of your work in machine learning, data engineering, and AI model deployment, and be prepared to walk the interviewer through your problem-solving process.
• Research Sonatus and the automotive industry to understand the current trends and challenges, and be prepared to discuss how your skills and experience align with the company’s goals and vision.
• Don’t be afraid to ask questions during the interview, such as what a typical day looks like in this role, or what opportunities there are for professional development and growth.
• When discussing salary, be sure to highlight your relevant experience and the value you can bring to the company, and be prepared to negotiate based on industry standards and your research.