Model Release Engineer

Highlights

• Build platform moving AI Driver models from features to on-road release.
• Orchestrate training, simulation and on-road testing for autonomous vehicles.
• Create transparent approval gates tracking model candidates to production.

What they offer

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in ownership and long-term success
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and hands-on work in vehicle workshops and labs
• Learning and development budgets with support for training and conferences
• Comprehensive benefits including health insurance, dental, enhanced parental leave, pension and wellbeing support

Ideal candidate

A collaborative platform-minded engineer who thrives on ownership and cross-team integration. Passionate about autonomous driving and building reliable paths from experiment to real-world deployment.

Requirements

• Strong software or platform engineering experience building reliable production services or microservices, ideally in Python
• Hands-on experience with Kubernetes, cloud-native infrastructure and production service operations
• Strong system-design skills across distributed workflows, APIs, orchestration and multi-system integrations
• Established observability using metrics, logging, tracing, monitoring and alerting
• Collaborate effectively across organisational boundaries and work through conflicting priorities
• Confident practical use of AI coding agents or LLM tools in day-to-day engineering workflow