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
AI & Machine Learning

Senior, Expert

Sunnyvale, CA, USA

Hybrid working policy requires in-office presence.

Category
Embedded Engineering
Software QA & Testing
Software Engineering
Required Skills
Rust
Python
Software Testing
C/C++
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.
  • Automotive Industry Expertise: Familiarity with automotive software development environments and standards, such as ASPICE and ISO 26262.
  • Educational Background: A Bachelor’s degree in Computer Science, Electrical Engineering, or a related field. A Master’s degree is highly desirable.
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 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.

Company Stage

Series C

Total Funding

$1.3B

Headquarters

London, United Kingdom

Founded

2017

Growth & Insights
Headcount

6 month growth

-1%

1 year growth

-3%

2 year growth

2%
Simplify Jobs

Simplify's Take

What believers are saying

  • 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.

What critics are saying

  • 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.

What makes Wayve unique

  • 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.

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Benefits

Hybrid Work Options