Director, Application Engineering, US

Overview

As Director of Application Software, US, you will lead Wayve’s US engineering organization to apply our AI Driver to customer vehicle programs. You’ll bridge core AI/autonomy teams with OEM partners, guiding integration, validation, release and production. You’ll shape ADAS and autonomous driving capabilities across ML, autonomy, vehicle systems and application software. This role combines technical leadership with cross-functional collaboration to deliver high-quality customer outcomes and scalable deployments. You’ll join a mission to make autonomy universal and drive real-world impact at scale.

Pay / Benefits

• Salaries benchmarked against market
• Equity ownership
• Relocation support and visa sponsorship
• Hybrid working with core hours
• Learning and development budgets
• Comprehensive benefits including health insurance and parental leave

Responsibilities

• Lead and grow the US Application Software organization, developing senior engineers and managers
• Oversee application of Wayve’s AI and autonomous driving tech to customer programs from definition to production
• Guide development and delivery of new ADAS/autonomy capabilities across ML, autonomy, vehicle systems and software
• Create a technical bridge between Wayve’s core teams and OEM customers, reflecting vehicle and customer needs in priorities
• Provide architectural leadership across autonomous driving, ML-enabled systems, embedded software, vehicle integration and deployment
• Collaborate with AI, autonomy, product, safety, validation, release and systems teams to solve complex challenges
• Turn learnings from customer programs into reusable components and practices for future deployments
• Build trusted relationships with senior engineering stakeholders at automotive partners and represent Wayve in technical discussions
• Feedback customer deployment insights into Wayve’s core tech and product roadmap

Key requirements

• Significant engineering and leadership experience in autonomous driving, ADAS or automotive AI
• Strong understanding of ML-enabled driving feature development, integration, validation and deployment in vehicles
• Proven ownership of new driving features from development to production across autonomy/ML and vehicle integration
• Experience delivering complex software/AI systems in production automotive programs and understanding vehicle systems and integration constraints
• Experience building and leading multidisciplinary engineering teams and developing senior engineers and managers
• Strong technical judgement across AI, autonomy and vehicle systems for architecture and trade-offs
• Ability to build trusted relationships with OEM customers and senior partners while communicating engineering priorities
• Experience with end-to-end learned driving systems and automotive embedded environments (e.g., C++, Linux, QNX, Adaptive AUTOSAR) and safety/security frameworks (ISO 26262, ISO/SAE 21434, UN R155/156, A-SPICE) is valuable
• Note: not required to be specialist in every stack

• collaborative leadership
• technical judgment
• stakeholder management
• AI Driver
• machine learning
• autonomy

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