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

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

Company Name

Wayve

Job Title

Machine Learning Engineer - Evaluation

Job Description

**Job Title:** Machine Learning Engineer - Evaluation **Role Summary:** Develop and scale offline evaluation pipelines for embodied AI models, design benchmarks, and lead human annotation workflows to ensure model quality and deployment readiness. **Expectations:** Lead evaluation suite development, collaborate cross-functionally, and drive high-quality data and metrics for autonomous driving systems. **Key Responsibilities:** - Build and scale offline evaluation pipelines for embodied AI models. - Design metrics and benchmarks for vision, language, and driving tasks. - Coordinate human annotation workflows, including QA and task design. - Collaborate with science, datasets, and engineering teams. - Analyze offline metrics to correlate with online performance. **Required Skills:** - Industry experience designing offline evaluation pipelines for ML models (vision, multimodal, or embodied AI). - Strong Python, data processing, and ML tooling skills. - Hands-on human annotation workflow experience (task design, QA, coordination). - Expertise in metrics and benchmark design for complex model evaluation. - Cross-functional collaboration in fast-paced environments. **Required Education & Certifications:** None specified.

London, United kingdom

Hybrid

05-10-2025

Company Name

Wayve

Job Title

Engineering Manager - Simulation

Job Description

**Job Title** Engineering Manager – Simulation **Role Summary** Lead a multidisciplinary engineering team that builds and maintains the simulation platform powering Wayve’s AI driver. Own the simulation roadmap, set performance metrics, and drive technical excellence while collaborating with robotics, machine learning, and data leaders to deliver a high‑fidelity, scalable simulation environment. **Expectations** - Deliver a robust simulation platform that meets business and product goals. - Define and communicate a clear roadmap and key performance indicators. - Build resilient, scalable systems and processes. - Hire, grow, and mentor engineering talent. - Foster a culture of technical excellence, impact, and well‑being. **Key Responsibilities** - Define simulation strategy and roadmap; align with company priorities. - Lead technical discussions and set architectural direction. - Establish and track KPIs, metrics, and quality standards. - Design and maintain resilient, scalable simulation systems. - Forecast resource needs; recruit and onboard new team members. - Prioritize work, implement lean processes, and drive continuous improvement. - Communicate progress and challenges to stakeholders across the organization. - Coach engineers on career development and technical growth. - Promote best engineering practices and maintain high code quality. **Required Skills** - Proven experience managing and scaling engineering teams. - Strong background in simulation, robotics, or orchestration systems. - Roadmap planning, stakeholder management, and requirement gathering. - Demonstrated promotion of software engineering best practices. - Solid coding knowledge and ability to review and guide technical work. - Excellent communication, mentorship, and team‑building abilities. **Desirable (but not required)** - Direct experience with simulation platforms. - Experience building systems in Python and/or C++. - Experience deploying and scaling cloud‑based systems. - Strong grasp of machine learning fundamentals. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Electrical Engineering, or related technical field (or equivalent professional experience).

London, United kingdom

Hybrid

05-10-2025