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For Companies At a Glance
- Tasks: Lead the Performance Optimisation Team to enhance onboard software efficiency and reliability.
- Company: Wayve is pioneering autonomous driving technology with a focus on performance and innovation.
- Benefits: Enjoy flexible working options, mentorship opportunities, and a culture of technical excellence.
- Why this job: Join us to shape cutting-edge tools that drive performance in autonomous systems and mentor future tech leaders.
- Qualifications: Extensive experience in real-time software optimisation and proficiency in C++ or Rust required.
- Other info: Ideal for those passionate about AI and autonomous vehicles, with opportunities for growth and innovation.
The predicted salary is between 48000 - 72000 £ per year.
The role
As the Technical Lead for the Performance Optimisation Team at Wayve, you will play a key role in equipping the company with the tools and strategies needed to ensure its onboard software operates efficiently and reliably. You will lead the development of advanced profiling tools and performance analysis techniques, enabling a deep understanding of the software’s computational requirements. You will also use these tools to ensure that critical systems, such as AI inferencing, meet stringent timing and performance constraints. By architecting scalable and robust solutions, you will empower the team to optimise performance at both the software and hardware levels, providing a strong foundation to enable innovation in our autonomous driving technology. In this role, you will also focus on building a foundation of knowledge and capability for the team by mentoring junior engineers and fostering a culture of technical excellence. You will work closely with the team’s manager to shape and deliver a roadmap that prioritises impactful performance analysis and optimisation initiatives. Beyond providing technical guidance, you will establish best practices in profiling and performance engineering, ensuring the team is equipped to address current and future challenges. This is your chance to lead the development of critical tools and techniques that will drive Wayve’s onboard systems to new levels of performance and reliability.
Key responsibilities:
- Lead the team in developing and optimising software solutions to enhance overall system performance, ensuring efficient data transfer and low-latency processing across diverse hardware platforms.
- Define and oversee the design of robust, scalable systems that leverage advanced techniques in system and memory management to maximise real-time processing efficiency and minimise latency.
- Drive the identification and implementation of solutions to improve system performance, focusing on end-to-end data flow, resource utilisation, and real-time responsiveness.
- Provide expertise in profiling and debugging system performance using advanced tools and methodologies, guiding the team to identify bottlenecks and implement effective solutions.
- Act as a key liaison between software, hardware, and machine learning teams to ensure seamless data management, preprocessing, and optimal system utilisation, fostering an integrated approach to performance optimisation.
- Establish and champion industry best practices for high-performance, low-latency systems, setting a strong technical standard for the team and the broader organisation.
- Support hiring efforts and mentor team members in advanced techniques for system performance analysis and optimisation, fostering skill development and encouraging innovation in tackling complex performance challenges.
About you
Essential:
- Extensive experience in profiling, analysing, and optimising the performance of complex, real-time software systems.
- Strong background in developing software for embedded systems using high-performance system languages such as C++ and/or Rust.
- Deep understanding of system architecture, low-level programming, memory management, and resource utilisation, particularly for high-performance, real-time applications.
- Proven ability to lead and mentor engineers while working effectively across disciplines with hardware, software, and machine learning teams to deliver integrated solutions.
- Ability to articulate technical concepts clearly, foster collaboration, and tackle complex challenges with a hands-on, solution-oriented approach.
- Bachelor’s degree in Computer Science, Electrical Engineering, or a related field, or equivalent professional experience.
Desirable:
- Prior experience developing and deploying autonomous vehicle software on commercial automobiles, and/or knowledge of ASPICE, DriveOS, or AutoSAR.
- Proven experience in GPU programming and optimization, with proficiency in CUDA, OpenCL, or other GPU programming frameworks.
- Experience with QNX or similar real-time operating systems.
- A Master’s degree or greater in Computer Science, Electrical Engineering, or a related field.
Tech Lead, Inference Performance, Onboard employer: Wayve Technologies Ltd.
Contact Detail:
Wayve Technologies Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Tech Lead, Inference Performance, Onboard
✨Tip Number 1
Familiarise yourself with the latest trends in performance optimisation for real-time systems. Understanding the nuances of low-latency processing and memory management will give you an edge in discussions during interviews.
✨Tip Number 2
Showcase your experience with profiling tools and techniques. Be prepared to discuss specific projects where you've successfully identified bottlenecks and implemented solutions, as this will demonstrate your hands-on expertise.
✨Tip Number 3
Highlight your leadership and mentoring experiences. Since the role involves guiding junior engineers, sharing examples of how you've fostered technical excellence in previous teams will resonate well with the hiring managers.
✨Tip Number 4
Network with professionals in the autonomous vehicle sector. Engaging with industry peers can provide insights into best practices and emerging technologies, which could be beneficial during your interview process.
We think you need these skills to ace Tech Lead, Inference Performance, Onboard
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in profiling, analysing, and optimising performance in real-time software systems. Emphasise your skills in C++ or Rust, as well as any relevant projects that showcase your ability to lead and mentor engineers.
Craft a Compelling Cover Letter: In your cover letter, express your passion for performance optimisation and autonomous driving technology. Mention specific examples of how you've successfully tackled complex performance challenges and how you can contribute to Wayve's goals.
Showcase Relevant Projects: Include details about any projects where you've developed software for embedded systems or worked with GPU programming. Highlight your experience with real-time operating systems like QNX, if applicable, to demonstrate your fit for the role.
Prepare for Technical Questions: Anticipate technical questions related to system architecture, memory management, and performance optimisation techniques. Be ready to discuss your hands-on experience and how you've applied your knowledge in practical scenarios.
How to prepare for a job interview at Wayve Technologies Ltd.
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with profiling and optimising real-time software systems. Highlight specific projects where you successfully improved performance, particularly using C++ or Rust, as this will resonate well with the interviewers.
✨Demonstrate Leadership Skills
Since the role involves mentoring junior engineers, share examples of how you've led teams in the past. Discuss your approach to fostering collaboration between software, hardware, and machine learning teams, as this is crucial for the position.
✨Prepare for Technical Questions
Expect in-depth questions about system architecture, memory management, and resource utilisation. Brush up on advanced profiling tools and methodologies, and be ready to explain how you've used them to identify and resolve performance bottlenecks.
✨Articulate Your Problem-Solving Approach
The interviewers will be interested in your hands-on, solution-oriented mindset. Prepare to discuss complex challenges you've faced in previous roles and how you tackled them, especially in high-performance, low-latency environments.
