Wayve

About the Company

We're Wayve, a leading developer of embodied intelligence for autonomous vehicles. We use AI to pioneer a next-generation approach to self-driving: AV2.0, which enables fleet operators to unlock the benefits of AV technology at scale.

Founded in 2017, Wayve is made up of a diverse team of experts in machine learning and robotics. We were the first to deploy AVs on public roads with end-to-end deep learning. Today, our teams are based in London and California, and we're testing AVs in cities across the UK.

Inspired by our vision for a smarter, safer, more sustainable world, we're looking for people who are passionate about building breakthrough solutions to some of the world’s most important challenges. If you're looking for an exciting opportunity with a dynamic team, get in touch!

Listed Jobs

Company Name

Wayve

Job Title

Staff Fullstack Software Engineer, AI Evaluation

Job Description

**Job Title:** Staff Fullstack Software Engineer, AI Evaluation **Role Summary** Design, develop, and deploy fullstack software tools to evaluate and enhance AI-driven autonomous driving systems. Focus on scalable evaluation workflows for analyzing AI performance, debugging results, and integrating real-world data. **Expectations** - Build robust, user-centric tools for model validation and performance analysis. - Collaborate with cross-functional teams to define requirements and deliver high-impact features. - Architect scalable systems for large-scale testing and data-driven decision-making. **Key Responsibilities** - Develop end-to-end features for test creation, scenario analysis, and performance triage. - Design and implement intuitive UI/UX for model developers and researchers. - Integrate backend systems for test management, metadata storage, and result distribution. - Optimize test workflows to scale evaluation to millions of scenarios. - Collaborate with product managers and designers to align tools with user needs. **Required Skills** - Proficiency in JavaScript, TypeScript, Python, and React. - Advanced SQL expertise with database optimization. - Experience designing and building high-performance APIs. - Fullstack development experience (front-end/UI, back-end/services). - Strong software engineering practices (code quality, testing, maintainability). - Effective communication and cross-team collaboration. - Adaptability in fast-paced, ambiguous environments. - Familiarity with AI/ML workflows and evaluation methodologies. **Required Education & Certifications** Bachelor’s or higher in Computer Science, Engineering, or related field. No specific certifications required.

London, United kingdom

Hybrid

07-09-2025

Company Name

Wayve

Job Title

Software Engineer, Robot Software Platform

Job Description

Sunnyvale, United states

Hybrid

14-09-2025

Company Name

Wayve

Job Title

Machine Learning Engineer - Training Performance

Job Description

**Job title** Machine Learning Engineer – Training Performance **Role Summary** Optimize large‑scale GPU training pipelines to increase model throughput and reduce time‑to‑train. Profile and identify bottlenecks, implement architectural and code‑level improvements, and build observability tooling to continuously track MFU and other performance metrics. Collaborate closely with research teams to integrate efficiency gains into production training workflows. **Expactations** - Deliver measurable performance gains for GPU‑based deep learning workloads. - Maintain high‑quality, well‑structured, and thoroughly tested Python code. - Provide transparent, benchmarked performance reports for internal stakeholders. - Act as a liaison between platform engineering and research groups, ensuring alignment on optimization initiatives. **Key Responsibilities** - Profile training jobs using tools such as NVIDIA Nsight Systems to locate throughput and memory latency bottlenecks. - Design and implement efficiency improvements, including tensor parallelism, mixed‑precision training, model compilation, and kernel optimizations. - Develop observability dashboards and logging mechanisms to monitor MFU and related metrics over time. - Work with research teams to integrate performance enhancements and promote a culture of continuous optimization. **Required Skills** - Proven experience optimizing large‑scale GPU training on compute clusters. - Strong scripting and software development skills in Python with emphasis on code quality and test coverage. - Experience writing and profiling GPU kernels, and usage of NVIDIA Nsight Systems. - Familiarity with concurrent, parallel, and distributed computing concepts. - Ability to create clear, benchmarked performance reports and track metrics over time. **Required Education & Certifications** - Bachelor’s or Master’s degree in Machine Learning, Computer Science, Engineering, or an equivalent technical discipline. - (No additional certifications required, though expertise in GPU optimization frameworks is advantageous.)

Sunnyvale, United states

Hybrid

19-09-2025

Company Name

Wayve

Job Title

Senior Legal Counsel

Job Description

Sunnyvale, United states

On site

Senior

04-10-2025