Full-Time
Machine Learning Performance Engineer
Confirmed live in the last 24 hours
Wayve
201-500 employees
Develops autonomous vehicle technology using AI
Senior
Sunnyvale, CA, USA
Hybrid working policy requires time in the office.
- 5+ years experience in performance optimization or ML engineering.
- Experience optimize large scale training jobs on GPU compute clusters.
- Experience in working in platform teams and working with research teams.
- Experience in reporting and tracking over time benchmarked performance in an open and accessible way.
- Ability to write high quality, well-structured and tested Python code
- BS or MS in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience.
- Solid experience working with concurrent, parallel and distributed computing.
- Experience using Nvidia NSight Systems.
- Experience implementing GPU kernels.
- Knowledge of computing fundamentals - what makes code fast, secure and reliable.
- Maximising the MFU of our large scale training jobs.
- Profiling and identifying bottlenecks in training code.
- Implementing GPU kernels to improve training throughput.
- Working closely with Research teams to integrate and test training efficiency improvements.
- Owning and improving our GPU training clusters.
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
6 month growth
↑ 38%1 year growth
↑ 59%2 year growth
↑ 115%
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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