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Director AI Integration

Job in Clinton Township, Macomb County, Michigan, 48036, USA
Listing for: EngineersOfAI
Full Time position
Listed on 2026-09-01
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Architect
Salary/Wage Range or Industry Benchmark: 180000 - 240000 USD Yearly USD 180000.00 240000.00 YEAR
Job Description & How to Apply Below
Position: Director AI Integration and Applications

About us

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.

Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.

In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.

At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.

Make Wayve the experience that defines your career!

The role

As Director of AI Integration & Application, you will lead the integration of our AI stack into production automotive platforms and programs. Your primary focus will be to ensure seamless embedding, adaptation, and validation of our end-to-end AI model on customer systems, working across embedded software layers, AI deployment workflows, and OEM integration processes.

This is a strategic and execution-oriented leadership role. It requires strong embedded software and automotive integration expertise, as well as practical knowledge of AI model training, distillation, and tuning. Success in this role will not only deliver production programs but will also define templates and frameworks for scalable global adoption. Your work will directly influence how our product evolves to meet the complexity of diverse regional needs while aligning with a unified global architecture and deployment strategy.

Key Responsibilities:

  • Own the end-to-end software integration of our AI stack into customer vehicle platforms, ensuring delivery readiness from development to production.
  • Capture best practices, performance insights, and technical solutions from regional deployments to inform and influence global product development strategy.
  • Serve as the technical integration lead for OEM production programs, aligning system capabilities with platform constraints, safety requirements, and functional targets.
  • Guide the adaptation, tuning, and validation of our end-to-end AI models for specific OEM environments—including dataset preparation, model distillation, and performance calibration.
  • Translate regional or program-specific integrations into reusable application-layer components and playbooks that can be applied globally.
  • Act as the connective tissue between application software, AI research, system integration, product management, safety, and release engineering.
  • Contribute to the evolution of our global deployment strategy by feeding insights from program work and collaborate into upstream architectural and operational improvements.
  • Build and lead a high-performance team focused on embedded AI application software and system-level integration.
  • Represent the company in technical discussions with OEMs and Tier 1s, supporting early-stage integration assessments, roadmap alignment, and field performance reviews.
About you

In order to set you up for success as an Engineering Director at Wayve, we’re looking for the following skills and experience.

Essential:

  • 10+ years of experience in embedded software engineering or AI systems integration, with 5+ years in technical leadership roles.
  • Proven track record of integrating complex software or AI systems into production automotive platforms.
  • Proficiency in embedded development with C++, Python, and real-time OS environments (Linux, QNX, Adaptive AUTOSAR).
  • Deep familiarity with end-to-end AI workflows including training, distillation, tuning, and deployment in embedded environments.
  • Experience interfacing with automotive data pipelines, perception or planni
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