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Lead Engineer, Automotive Embedded Systems
2 months ago
At Wayve, we are dedicated to fostering a diverse, equitable, and respectful workplace that values the unique skills and perspectives of every individual, irrespective of their background or identity.
About Us
Established in 2017, Wayve stands at the forefront of Embodied AI technology development. Our cutting-edge AI software and foundational models empower vehicles to perceive, comprehend, and navigate intricate environments, significantly enhancing the usability and safety of automated driving systems.
Our mission is to create autonomous solutions that drive progress. Our intelligent, mapless, and hardware-agnostic AI offerings are tailored for automotive manufacturers, facilitating the shift from assisted to fully automated driving. Join our exceptional team as we confront today’s most challenging issues and lay the groundwork for a smarter, safer future.
At Wayve, your contributions are invaluable. We celebrate diversity, welcome fresh perspectives, and cultivate an inclusive work atmosphere. Make Wayve the defining experience of your career.
The Role
We are in search of a skilled technical leader with a proven track record in developing and delivering reliable, high-performance automotive-grade software for distributed, high-end computing platforms. As a key member of the Onboard Software Platform team, you will collaborate within an engineering group to deliver software for edge devices that reliably provide data, experimentation, validation, and autonomy across a large fleet of vehicles. In this role, you will be tasked with designing software architecture to integrate our machine learning-based autonomous driving solution into an automotive L2-L3 system application. This position offers high visibility, providing extensive technical leadership for a rapidly expanding team and organization.
Expected Impact
As a Technical Lead for Embedded Automotive Software, you will be instrumental in developing and deploying software that underpins the operation of an advanced end-to-end AI model for autonomous driving. You will spearhead critical technical initiatives and ensure the robustness, compliance, and performance of our automotive embedded systems, which are essential to our autonomous vehicle solutions. Your responsibilities will include tackling complex technical challenges and collaborating with multiple teams to achieve significant program milestones in the automotive industry.
Key Challenges
- Technical Program Leadership: Independently oversee extensive areas of embedded software development and pivotal automotive programs. Ensure timely project delivery by effectively managing requirements, technical risks, development strategies, milestones, and dependencies, with a strong emphasis on safety and compliance.
- Software Architecture Design: Design and develop software architecture to incorporate our machine learning-based autonomous driving solution into an automotive L2-L3 system application. Ensure seamless integration with OEM software environments to facilitate full sensor integration and data capture at the necessary scale and quality for a fully autonomous vehicle.
- Collaborative Development: Collaborate closely with cross-functional teams, including machine learning engineers, software developers, system engineers, and product managers, to define and refine the software architecture.
- Compliance and Safety: Work with safety and functional safety teams to ensure the software architecture adheres to ISO 26262 functional safety standards and other relevant regulations. Assist the team in implementing ASPICE-compliant processes.
- Code Base Management: Maintain a robust, compliant, and scalable code base for embedded systems, promoting rapid development and future scalability.
- Real-Time System Management: Deliver and maintain real-time Linux-based and QNX-based applications for a fleet of embedded devices in vehicles, including data collection, storage, and machine learning inference at the edge.
- Fault Tolerance and Diagnostics: Develop and implement fault-tolerant software solutions with comprehensive system diagnostics to swiftly identify and resolve issues in deployed automotive systems.
- Mentorship and Cultural Development: Provide mentorship to engineers, guiding their professional development. Actively lead forums such as design reviews and architecture planning to foster a culture of engineering excellence and compliance.
Candidate Profile
Essential Qualifications
- Proven Experience: Extensive experience in developing and deploying safety-critical automotive embedded software in C++ for automotive products, with a strong history of leading large technical programs and teams.
- ASPICE Compliance: In-depth understanding and experience with ASPICE-compliant Software Development Life Cycle (SDLC) processes.
- AUTOSAR Expertise: Proficiency in creating embedded software using the AUTOSAR architecture.
- Leadership Skills: Strong leadership capabilities, adept at guiding cross-functional teams and projects. Excellent collaboration skills across divisions and effective stakeholder engagement.
- Communication Skills: Strong communication abilities, capable of articulating complex technical and business concepts to a diverse audience.
- Educational Background: Bachelor’s degree in Computer Science, Electrical Engineering, or a related field, or equivalent professional experience.
Desirable Qualifications
- Language Expertise: Proficiency in both C++ and Rust for embedded software development.
- Advanced Degree: A Master’s degree or higher in Computer Science, Electrical Engineering, or a related field.
- Broad Embedded Systems Expertise: Strong background in developing software for various automotive embedded systems and operating systems, particularly Linux and QNX.
- Autonomous Driving: Experience with L2-L3 autonomous driving applications and integrating machine learning-based autonomous driving solutions into automotive systems.
- Safety Standards: Familiarity with ISO 26262 functional safety standards.
We recognize that every individual possesses a unique set of skills and experiences, and not everyone will meet all the criteria outlined above. If you are passionate about self-driving technology and believe you can make a positive impact, we encourage you to consider this opportunity.
This position operates under a hybrid working policy that combines collaborative time in our offices and workshops with remote work, allowing for innovation, relationship building, and learning.
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