Senior Staff AI Engineer — Lead AI Systems for SDV

Sonatus; Sunnyvale (CA); On-site; USD 227,000 - 313,000; Full time

Benefits offered by this job

Equity program

Hybrid office work

Wellness allowances

Lunch on-site

Flexible time off

Job summary

Sonatus is seeking a Senior Staff AI Engineer to define and build the next generation of AI applications for software-defined vehicles. You'll be the technical leader for new AI initiatives, shaping problems into deployable solutions, starting from customer problems and goals.

This high-impact role requires leading architecture, end-to-end AI system design, and collaboration across teams to drive continuous performance improvements.

Qualifications

• MS or PhD in a science, mathematical, and/or engineering field.
• Proven experience in designing and deploying end-to-end AI systems in a production environment.
• In-depth knowledge of current Gen AI technologies and a strong software development background.
• Expertise in building high-performance AI applications that integrate a multitude of data sources.
• Strong foundation in machine learning model development, experimentation, and evaluation.
• Proven ability to lead technically across teams, with excellent system design and problem-solving skills

Responsibilities

• Lead the architecture and development of end-to-end software solutions leveraging agentic AI (e.g., LLMs, agent frameworks, RAG, context engineering, and evaluation).
• Design and implement robust data orchestration and processing pipelines for continuous agent operations and performance improvement.
• Translate complex customer problems and business requirements into effective, deployable AI solutions.

Skills

Software development

System design

Leadership

ML model development

Education

MS or PhD in science, math, or engineering

Job description

Sonatus is seeking a Senior Staff AI Engineer to define and build the next generation of AI applications for software-defined vehicles. You'll be the technical leader for new AI initiatives, shaping problems into deployable solutions, starting from customer problems and goals.

This high-impact role requires leading architecture, end-to-end AI system design, and collaboration across teams to drive continuous performance improvements.