AI Integration Engineer

Role Overview

• Apply AI‑based tools and agent‑driven workflows to optimize how engineering specifications are authored, reviewed, and standardized
• Design and implement mechanisms to expand standardized specifications into automatically generated test cases for HiL and vehicle‑level testing
• Integrate AI‑assisted test generation into existing software tooling developed by the team, ensuring compatibility with established validation pipelines
• Incorporate Large Language Models (LLMs) into the software tool development lifecycle to improve documentation quality, code review effectiveness, and overall user experience
• Collaborate with system, software, and test engineering teams to ensure AI‑enabled tooling aligns with real‑world engineering workflows and validation needs
• Define and maintain technical concepts, architectures, and roadmaps for AI integration within internal software tools
• Validate and verify AI‑enabled tooling through reviews, experimentation, and targeted testing to ensure reliability, traceability, and scalability
• Identify technical risks and limitations related to AI usage and provide clear reporting, recommendations, and mitigation strategies
• Define the data and measurable indicators needed to evaluate virtual driver systems on DTNA vehicles against DTNA performance standards, including ODD expansion rate, incident reporting, remote assistance activity, system capability, and in-service performance. Establish apples-to-apples assessment criteria for VD partners by benchmarking autonomous performance against Cascadia durability, maintenance intervals, fuel efficiency, and vehicle uptime to ensure solutions deliver incremental customer value on DTNA platforms
• Contribute lessons learned and best practices to influence future tooling standards and development approaches across the organization

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or a related engineering discipline and 2+ years of relevant experience is required
• Strong software engineering fundamentals, including experience building and maintaining internal tools or developer‑facing applications
• Experience working with or integrating AI systems, such as LLMs, agent frameworks, or AI‑assisted development tools
• Familiarity with test automation concepts, including HiL, SiL, or vehicle‑level testing environments
• Ability to translate loosely defined engineering needs into structured, scalable software solutions
• Demonstrated ability to work effectively across multidisciplinary engineering teams
• Strong sense of ownership, curiosity, and initiative within your technical domain
• Ability to communicate complex technical concepts clearly to both technical and non‑technical audiences
• Commitment to continuous learning and staying current with evolving physical autonomy, AI, and software development practices
• An attached resume is required.

Benefits

• Relocation assistance is not available for this position