Warehouse Specialist at Wayve

London, England, United Kingdom

Wayve Logo
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Autonomous Vehicles, AI, TechnologyIndustries

Requirements

  • Proven experience in warehouse operations, inventory control, or logistics
  • Strong organizational skills with attention to detail and accuracy
  • Ability to work cross-functionally and communicate effectively with multiple teams
  • Familiarity with stock management systems, ERP platforms, or warehouse management systems

Responsibilities

  • Manage and control inventory levels, ensuring accuracy and timeliness of all stock bookings, kittings, and cycle counts
  • Organize and label storage space to maintain clear and efficient warehouse operations
  • Coordinate inbound and outbound shipping/receiving processes, ensuring smooth collaboration with cross-functional teams
  • Support the Warehouse Manager in ensuring warehouse operations run efficiently and meet defined expectations
  • Build effective working relationships with wider teams to support material deliveries and demand
  • Communicate clearly regarding store availability, demand requests, and component kitting/delivery timelines
  • Define and implement material handling and storage processes in the US in coordination with the Warehouse Manager
  • Promote efficient and cost-effective material management structures with contingency planning
  • Carry out accurate and timely bookings and kittings aligned with inbound deliveries and build plans
  • Implement and maintain a rolling cycle count to ensure stock integrity
  • Support inventory forecasting and reporting by monitoring stock values and identifying slow-moving inventory
  • Assist with developing processes to highlight and resolve inventory management issues proactively
  • Actively participate in process improvement initiatives to enhance warehouse operations
  • Collaborate with the Warehouse Manager on new projects, adapting responsibilities as required
  • Contribute to building discipline and best practices across warehouse activities

Skills

Warehouse Operations
Inventory Management
Material Handling
Supply Chain Coordination
Stock Control
Process Improvement
Cross-functional Collaboration

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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