Full-Time

Technical Lead

Embedded Automotive Platforms

Confirmed live in the last 24 hours

Wayve

Wayve

201-500 employees

Develops autonomous vehicle technology using AI

Automotive & Transportation
AI & Machine Learning

Senior

Sunnyvale, CA, USA

Hybrid working policy requires time in the office in Sunnyvale.

Category
Robotics and Automation Engineering
Mechanical Engineering
Required Skills
Rust
AUTOSAR
C/C++
Linux/Unix
Requirements
  • Proven Experience in embedded systems development, including in a technical leadership role, preferably in the automotive industry.
  • Expertise in Software Development: Strong background in developing software for embedded systems using high-performance system languages like C++ and/or Rust
  • Strategic and Analytical Thinking: Ability to conceive and implement strategic technology projects aligned with both immediate and long-term business objectives
  • Leadership and Collaboration Skills: Excellent leadership qualities, capable of leading cross-functional teams and projects. Strong ability to collaborate across divisions and effectively engage stakeholders
  • Debugging Skills: Proficient in debugging performance issues, stack traces, core dumps, slow disk writes, high system load, memory bottlenecks, external device bottlenecks, and threading issues
  • Technical Knowledge: Strong understanding of IPC middleware for high data throughput robotic applications, and experience with Linux, QNX, build systems, and user space device drivers
  • Educational Background: Bachelor’s degree in Computer Science, Electrical Engineering, or a related field, or equivalent professional experience
  • Expertise in Embedded Environments: Prior experience developing and deploying autonomous vehicle software on commercial automobiles
  • Automotive Software: Knowledge of ASPICE, DriveOS, or AutoSAR
  • Performance Tuning: Experience building embedded systems running on the NVIDIA Drive Platform and performance tuning with the QNX operating system
  • Educational Background: A Master’s degree or greater in Computer Science, Electrical Engineering, or a related field
Responsibilities
  • Lead key technical programs, ensuring timely delivery by managing requirements, technical risks, development strategy, milestones, and dependencies
  • Oversee the creation and maintenance of an efficient, maintainable, and scalable embedded platform, enabling rapid development and deployment of AV applications
  • Ensure the effective operation of real-time applications on various platforms, optimizing data collection, storage, and edge machine learning inference
  • Develop fault-tolerant software solutions with comprehensive diagnostics to resolve operational issues swiftly
  • Implement advanced system monitoring tools to enhance performance metrics and troubleshoot issues effectively
  • Provide mentorship, guide engineers in skill and career growth, and lead forums such as design reviews and architecture planning to promote engineering

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

38%

1 year growth

59%

2 year growth

115%
Simplify Jobs

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.

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