Software Engineer

📋 Description

• Design, build, and maintain scalable Python libraries and tools used by ML engineers and
• Develop robust abstractions for data loading, distributed training, inference, checkpointing, and
• Support training at scale across large GPU clusters and cloud-based infrastructure.
• Work closely with ML teams to understand user needs and create tools that are reliable
• Improve engineering quality across ML systems through strong software architecture, testing
• Optimise data and training pipelines to support multi-modal data sources, including camera, radar

🎯 Requirements

• Strong Python programming experience. Proven experience designing, building, and maintaining
• Strong software architecture and system design skills. Experience building tools, platforms, or
• Experience working with cloud environments, ideally Azure.
• Experience with concurrent, parallel, or distributed computing.
• Familiarity with ML frameworks such as PyTorch, TensorFlow, or PyTorch Lightning.
• Ability to work closely with technical stakeholders to refine requirements and deliver practical

🎁 Benefits

• Work on high-impact systems that directly support the development of autonomous driving technology.
• Help scale training and evaluation infrastructure across large GPU clusters.
• Build software used by ML engineers and researchers at the frontier of embodied AI.
• Join a team focused on strong engineering standards, practical abstractions, and scalable platform
• Play a meaningful role in bringing autonomous driving technology closer to real-world deployment.