Customer Integration Engineer at Wayve

Japan

Wayve Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Autonomous Driving, Artificial Intelligence, AutomotiveIndustries

Requirements

  • Strong problem-solving skills and analytical thinking
  • Proven ability to lead investigations into platform or vehicle issues in collaboration with internal and customer teams
  • Extensive hands-on experience with development vehicles
  • Proficiency with diagnostic and calibration tools (e.g. CANape or similar)
  • Familiarity with terminal usage and a willingness to develop basic programming skills
  • Solid understanding of vehicle communication protocols (e.g. CAN, Ethernet) and automotive system architectures
  • Practical experience working in an automotive environment, ideally with a track record of bringing products to production
  • Excellent communication and interpersonal skills for effective collaboration with both customers and internal teams
  • Willingness to travel as required

Responsibilities

  • Provide hands-on technical support to customers throughout the development and validation process
  • Serve as the bridge between customer vehicle integration teams and Wayve’s internal engineering teams
  • Troubleshoot and resolve technical issues related to our technology independently
  • Escalate complex or critical issues to the appropriate internal stakeholders
  • Develop deep understanding of customer systems and APIs (e.g. drive-by-wire) to effectively guide internal teams
  • Maintain a system-level perspective to identify root causes, whether vehicle-based or software-related

Skills

AI Integration
Technical Support
System Validation
Customer Engineering
Embodied AI

Wayve

Develops autonomous vehicle technology using AI

About Wayve

Wayve.ai develops self-driving technology known as AV2.0, which focuses on creating a smarter and safer approach to autonomous vehicles. Their technology uses embodied AI software that allows vehicles to learn from their experiences and adapt to different environments without needing detailed programming. This method is different from traditional self-driving technologies that often rely on expensive hardware and pre-mapped data. Instead, Wayve.ai employs end-to-end deep learning, making their solution more cost-effective for automakers. The company targets automakers and fleet operators, offering them adaptable and affordable solutions for driving automation. Wayve.ai has already partnered with major retailers in the UK to test its technology in delivery fleets, aiming to enhance mobility and sustainability in the automotive industry.

London, United KingdomHeadquarters
2017Year Founded
$1,272.3MTotal Funding
SERIES_CCompany Stage
Automotive & Transportation, AI & Machine LearningIndustries
201-500Employees

Benefits

Hybrid Work Options

Risks

Increased competition in San Francisco could dilute Wayve's market presence.
Regulatory challenges may delay the deployment of Wayve's technology with Uber.
Wayve's reliance on AI systems may face skepticism from traditional automakers.

Differentiation

Wayve uses embodied AI to adapt vehicles to any environment without explicit programming.
Its AV2.0 technology eliminates the need for costly robotic stacks and complex mapping.
Wayve's end-to-end deep learning approach offers a cost-effective solution for automakers.

Upsides

Wayve's partnership with Uber expands its market reach and data collection opportunities.
The expansion into the U.S. market taps into a larger talent pool and partnerships.
Generative AI models like GAIA-1 offer new ways to simulate driving scenarios.

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