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Software Engineer, AI Libraries

wayveLondon, United KingdomAI Platform
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Salary
Not listed
Job type
Full-time
Experience
Senior
Posted
5 Oct 2026
Status
Open · checked 8d ago

About this role

Software Engineer, AI Libraries is an engineering role based in London, United Kingdom, focused on building foundational platforms and reusable tools to support machine learning development. This position suits software professionals with extensive Python experience who enjoy designing scalable systems and collaborating with research teams.

Role Overview

Wayve is hiring a Software Engineer, AI Libraries in London, United Kingdom. The AI Platform team creates the foundational infrastructure that allows machine learning engineers and researchers to train, evaluate, and deploy models at scale. In this position, professionals develop modular libraries, high-performance tools, and reusable abstractions to accelerate autonomous-driving technology and support thousands of GPUs.

Key Responsibilities

Collaborate with machine learning teams to analyze workflows and transform complex needs into stable, scalable software solutions.
Design and write Python code, guiding projects through all phases from discovery to final delivery.
Build modular libraries covering multimodal data loading, distributed training, inference, checkpointing, and observability.
Enhance the reliability, performance, and overall developer experience for systems operating on large GPU clusters handling camera, radar, and lidar data.
Elevate engineering standards and assist users in maximizing model scale and performance.

Requirements

Extensive experience working with Python.
Demonstrated ability to design, deliver, and maintain robust software systems at scale.
Solid understanding of software architecture, testing methodologies, and observability.
Practical background in concurrent, parallel, or distributed computing.

Nice to Have

Familiarity with machine learning frameworks such as PyTorch or TensorFlow.
Experience with cloud computing environments, specifically Azure.

Skills and Tools

Python
PyTorch
TensorFlow
Azure
Distributed Computing
Software Architecture
Observability Systems

Salary and Benefits

Salaries benchmarked annually against the market.
Meaningful equity participation.
Relocation support and visa sponsorship where applicable.
Hybrid working model with core hours and access to vehicle workshops and labs.
Learning and development budgets for training and conferences.
Comprehensive health insurance, dental coverage, enhanced parental leave, pension plans, therapy access, and team events.

About the Company

Wayve builds embodied intelligence to enable vehicles to operate safely and creates an ecosystem for future machines. The company develops an end-to-end AI platform for autonomous driving, utilizing real-world experience instead of hand-coded rules or pre-mapped environments. Headquartered with main hubs in London, Sunnyvale, Yokohama, Herzliya, Vancouver, and Leonberg, Wayve partners with global OEMs to advance automation levels from L2 plus to L4.

How to Apply

Interested candidates should apply directly on the official Wayve careers page.

Skills and tech stack

PythonPyTorchTensorFlowAzureMachine Learning

Questions candidates ask

Where is this job located?

This role is based in London, United Kingdom, utilizing a hybrid working model.

Is this a machine learning modeling role?

No, this is a software and platform engineering role rather than an ML modelling position.

What technical background is required?

Candidates need extensive Python experience, a history of delivering software systems at scale, knowledge of software architecture, testing, and observability, and familiarity with concurrent, parallel, or distributed computing.

Are machine learning frameworks required?

Machine learning frameworks like PyTorch or TensorFlow, along with cloud environments such as Azure, are listed as valuable nice-to-have skills rather than strict requirements.

What does the interview process involve?

The process includes a recruiter screen, competency interviews, deep-dive technical interviews, and a final interview.

Ready to apply?

The application is on the official wayve careers page.

Apply on company site