Software Engineer, AI Libraries
Wayve · 🇬🇧 London, United Kingdom
Sponsorship Verification Proof
Employer is on the UK Home Office register of licensed sponsors.
UK Home Office Register of Licensed Sponsors (Skilled Worker route): listed as 'Wayve Technologies Ltd', London — Skilled Worker; Worker (A rating)
An official government register match confirms the employer holds an active sponsor licence in this country. It does not guarantee that every individual role meets minimum salary or skill thresholds — always confirm sponsorship eligibility with the recruiter.
The job posting also states: “✈️ Relocation support and visa sponsorship where applicable”
- Verification category
- Employer on official sponsor register
- Role category
- ML / AI
- Last verified
- 2026-10-25
- First indexed
- 2026-10-24
- Posted date
- 2026-10-05
- ATS / Feed source
- Ashby job board
Role Description (Excerpt)
Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that. Here’s what this particular role covers. 🛠️ About our AI Platform Team Our AI Platform teams build the foundations that enable Wayve’s machine learning engineers and researchers to train, evaluate and deploy models at scale. Within the AI Libraries team, you’ll create high-quality platforms, tools and reusable abstractions that support thousands of GPUs and help accelerate the development of our autonomous-driving technology. 🧠 Your day-to-day You’ll work closely with machine learning teams to understand their workflows and turn complex requirements into stable, scalable and intuitive software. You’ll spend much of your time designing and writing Python, leading projects from discovery through delivery, improving engineering standards and supporting users as they push the scale and performance of their models. 🧩 What you’ll be working on You’ll build modular libraries for areas such as multimodal data loading, distributed training and inference, checkpointing and observability. You’ll improve the reliability, performance and developer experience of systems used across Wayve, helping teams train models efficiently on large GPU clusters and work with camera, radar, lidar and other data sources. 🙌 You…
Excerpt only — read the full requirements and apply directly on Wayve's career page. We do not process applications.