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Full-Time

Team Lead – Robot Software

Confirmed live in the last 24 hours

Wayve

Wayve

201-500 employees

Develops autonomous vehicle technology using AI

Robotics & Automation
Hardware
AI & Machine Learning

Junior, Mid

London, UK

Category
Robotics & Autonomous Systems
AI & Machine Learning
Required Skills
Linux/Unix
Data Analysis
Requirements
  • Proven Leadership: At least 2 years in a leadership role within software development or embedded systems, including directly managing a software development team through all stages of the software lifecycle.
  • Expertise in Software and Embedded Systems: Strong knowledge of software development for embedded systems, real-time data processing, and system diagnostics, preferably within the automotive or similar regulated industries.
  • Technical Proficiency: Hands-on experience with Linux-based development, real-time systems, and edge computing. Proficiency in programming languages such as C++ or Rust, and experience with relevant software development tools and environments.
  • Strategic Acumen: Excellent ability to conceive and execute technology projects that align with both immediate and long-term business objectives of the Onboard Software organisation.
  • Collaborative Abilities: Outstanding interpersonal and communication skills, capable of fostering collaboration across diverse technical teams and company divisions.
  • Educational Background: A degree in Computer Science, Electrical Engineering, or a related field
Responsibilities
  • Team Leadership and Strategic Oversight: Lead a multidisciplinary team of Software Engineers and Systems Engineers, setting clear objectives and milestones. Drive strategic software deployment across AV systems, aligning with Wayve’s objectives
  • Software Development and Integration: Oversee the design and implementation of software that supports full sensor integration and data capture, ensuring high quality and scalability necessary for autonomous operations
  • Real -Time System Management: Ensure the delivery and maintenance of soft-real-time applications on Linux-based platforms, focusing on data collection, storage, and on-edge machine learning inference
  • Fault Tolerance and Diagnostics: Develop fault-tolerant software solutions with comprehensive diagnostic tools to swiftly address and resolve issues impacting the operational capacity of our deployed AV fleet
  • Performance Monitoring: Craft and utilise advanced system monitoring tools to enhance performance metrics and troubleshoot both ad-hoc and systemic issues effectively
  • Resource Management: Efficiently allocate resources, including personnel and technical infrastructure, to meet project timelines and performance goals
  • Talent Cultivation: Recruit, mentor, and develop your team, promoting a culture of technical excellence and innovation. Identify skill gaps and lead training and recruitment efforts to assemble a top-tier Robot Software team

Wayve.ai develops self-driving technology known as AV2.0, which focuses on creating smarter and safer 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 aims to enhance mobility by partnering with companies like Ocado Group and Asda to test their technology in real-world delivery scenarios.

Company Stage

Series C

Total Funding

$1.3B

Headquarters

London, United Kingdom

Founded

2017

Growth & Insights
Headcount

6 month growth

28%

1 year growth

39%

2 year growth

83%
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Simplify's Take

What believers are saying

  • Wayve.ai's recent $1.05 billion funding round underscores strong investor confidence and provides substantial capital for further innovation and expansion.
  • The launch of PRISM-1, a 4D reconstruction model, enhances the testing and training of their autonomous driving technology, potentially accelerating development timelines.
  • Partnerships with major retailers and fleet operators offer significant opportunities for real-world testing and rapid deployment of their technology.

What critics are saying

  • The autonomous vehicle sector is highly competitive, with major players like Tesla and Nvidia investing heavily in similar technologies, which could impact Wayve.ai's market share.
  • The reliance on end-to-end deep learning and embodied AI, while innovative, may face challenges in regulatory approval and public acceptance.

What makes Wayve unique

  • Wayve.ai's use of embodied AI software allows vehicles to learn and adapt from experience, eliminating the need for costly HD maps and human-engineered systems, unlike traditional autonomous vehicle technologies.
  • Their end-to-end deep learning approach reduces the reliance on expensive robotic stacks, making their solution more cost-effective for automakers.
  • Wayve.ai's partnerships with leading UK retailers like Ocado Group and Asda for trialing their technology in delivery fleets demonstrate their practical, real-world application and scalability.