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Full-Time

SWE Tech Lead

Embedded Testing

Confirmed live in the last 24 hours

Wayve

Wayve

201-500 employees

Develops autonomous vehicle technology using AI

Automotive & Transportation
Energy

Senior, Expert

Mountain View, CA, USA

Category
Embedded Engineering
Software QA & Testing
Software Engineering
Required Skills
Rust
Python
Software Testing
Requirements
  • Proven Experience in Test Automation: Extensive experience in automating testing for embedded applications, particularly within the automotive industry.
  • Technical Proficiency: Strong proficiency in developing test frameworks in Python, with additional programming skills in either of our development languages of C++ and Rust.
  • Deep Knowledge of Testing Methodologies: In-depth understanding of software testing best practices, methodologies, and techniques aimed at driving continuous quality improvement and ensuring fitness for purpose.
  • Leadership in Test Engineering: Demonstrated experience leading other engineers in the design and implementation of test frameworks, with a strong focus on mentoring and team development.
  • Exceptional Communication Skills: Ability to effectively communicate complex testing strategies and practices across an organization, influencing and collaborating with software developers and other stakeholders.
Responsibilities
  • Test Infrastructure Development: Design and implement scalable and maintainable test infrastructure that empowers software engineers to efficiently create, run, and automate tests within their development and release processes.
  • Automation of Hardware-in-the-Loop (HiL) Testing: Lead the development and automation of HiL testing environments supporting a multitude of target platforms, ensuring that hardware components are accurately and consistently tested within our software ecosystem.
  • Sensor Emulation Frameworks: Create and maintain frameworks for sensor emulation that enable comprehensive system-level testing, ensuring the reliability and performance of our autonomous vehicle platforms.
  • Advancement of Testing Practices: Champion the adoption of best practices in software testing across the organization, providing guidance and support to software developers in crafting effective and robust testing strategies.
  • Drive Testing Strategy: Collaborate with product managers and Wayve’s Automotive Verification and Product Management teams to ensure the testing strategies of our onboard software support business needs.
  • Leadership and Mentorship: Lead and mentor a team of engineers in test and other software engineers, fostering their skills growth and ensuring alignment with the overall goals of Wayve’s testing and quality assurance efforts.
  • Continuous Improvement: Contribute to the ongoing refinement and enhancement of Wayve’s software development life cycle, focusing on increasing efficiency, quality, and reliability.

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.