Technical Lead of Embedded Automotive Platforms, Wayve

Salary not provided
Linux
C++
Rust
Senior and Expert level
San Francisco Bay Area

2-5 days a week in office (Mountain View, CA)

Wayve

Autonomous mobility driven by AI

Open for applications

Wayve

Autonomous mobility driven by AI

201-500 employees

B2CB2BArtificial IntelligenceCarsTransportBig dataDeep TechRoboticsFlexible workingComputer VisionMachine LearningSaaSCloud Computing

Open for applications

Salary not provided
Linux
C++
Rust
Senior and Expert level
San Francisco Bay Area

2-5 days a week in office (Mountain View, CA)

201-500 employees

B2CB2BArtificial IntelligenceCarsTransportBig dataDeep TechRoboticsFlexible workingComputer VisionMachine LearningSaaSCloud Computing

Company mission

To reimagine autonomous mobility through embodied intelligence.

Role

Who you are

  • 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

Desirable

  • 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

What the job involves

  • As the Technical Lead of the Embedded Automotive Platforms team, you will be responsible for leading the creation of a software platform that interfaces with the automobile’s embedded hardware
  • This includes developing abstractions and APIs that enable Wayve’s software and robotics teams to deploy AV software efficiently
  • Your role involves understanding the capabilities and nuances of various deployment platforms and creating abstractions that minimize the need for Onboard Applications to be customized for each target platform
  • You will play a crucial role in advancing Wayve’s AV technology
  • Your leadership will drive the efficiency, maintainability, and scalability of the embedded systems that underpin our autonomous vehicles
  • You will be accountable for overseeing critical technical programs, ensuring robust platform development, and fostering innovation within your team
  • Technical Program Leadership: Lead key technical programs, ensuring timely delivery by managing requirements, technical risks, development strategy, milestones, and dependencies
  • Platform Development: Oversee the creation and maintenance of an efficient, maintainable, and scalable embedded platform, enabling rapid development and deployment of AV applications
  • Real-Time System Management: Ensure the effective operation of real-time applications on various platforms, optimizing data collection, storage, and edge machine learning inference
  • Fault Tolerance and Diagnostics: Develop fault-tolerant software solutions with comprehensive diagnostics to resolve operational issues swiftly
  • Performance Monitoring: Implement advanced system monitoring tools to enhance performance metrics and troubleshoot issues effectively
  • Mentorship and Cultural Development: Provide mentorship, guide engineers in skill and career growth, and lead forums such as design reviews and architecture planning to promote engineering

Our take

Wayve is developing artificial intelligence (AI) that teaches cars to drive autonomously using reinforcement learning, simulation, and computer vision. Wayve’s core premise is that the big breakthrough in self-driving cars will come from better AI brains rather than more sensors or “hand-coded” rules which it believes are highly restrictive and not at all scalable.

The company said that it trains its autonomous driving system using simulated environments and then transfers that knowledge into the real world, where it emulates how humans adapt to conditions in real time. It ultimately relies on end-to-end deep learning AI rather than hard-engineered AI. This is one of the world's hardest problems to solve, but Wayve has made an exciting start and is taking a very different approach to competitors like Uber and Waymo, who are relying more on sensors.

Following a few years of innovative breakthroughs, Wayve now has backing from high-profile investors such as Microsoft and angels, including Uber's chief scientist Zoubin Ghahramani and Pieter Abbeel, a UC Berkeley robotics professor and pioneer of deep reinforcement learning. The company's strategic partnerships with outfits like Asda and Ocado to test-run autonomous deliveries, as well as publicity through the Minister is a show of confidence in the future of Wayve's solution to autonomous driving.

Kirsty headshot

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

Some candidates hear
back within 2 weeks

28% female employees

24% employee growth in 12 months

Company

Funding (last 2 of 7 rounds)

May 2024

$1.1bn

SERIES C

Jan 2022

$200m

SERIES B

Total funding: $1.3bn

Company benefits

  • Learning budget
  • In-house chef
  • Flexible Working
  • Private health insurance and therapy
  • Workplace nursery scheme
  • Onsite bar
  • Large social budgets
  • Enhanced parental leave

Company values

  • Pave new roads, explore unknown horizons: We take calculated risks and embrace unknown territory
  • Leave positive tracks: A big reason for working on autonomous vehicles is for the positive impact they can have to the environment, the lives they will save, the opportunities they will create for others and more!
  • Autonomous in thought, collective in action: We are built of strong, curious individuals coming from all walks of life, but who, together, want to achieve a common goal.
  • Drive each other forward: We are a company that stands strong upon the foundation which it has created. This foundation is the team, the individuals who make Wayve, Wayve.

Company HQ

London, UK

Leadership

Has a PhD from Cambridge in Computer Vision & Robotics. Previously Research Engineer at Skydio and Advisor to Scape Technologies

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