ML & Cloud Infrastructure Engineer

We’re looking for an experienced ML & Cloud Infrastructure Engineer to join our team. As an early member, you will play a pivotal role in architecting scalable cloud infrastructure for our AI and data pipelines. You'll need to thrive in a fast-paced startup environment where you'll wear multiple hats and have a direct impact on our product's evolution. Ideally, you have a proven track record of developing and deploying high-performance ML and cloud pipelines in production, and you're passionate about pushing the boundaries of what's possible in robotics with AI.

Develop and deploy scalable AI training and validation pipelines in the cloud.

Spin up distributed pipelines for data ingestion, pre-processing, training and evaluation.

Deploy monitoring and CI/CD pipelines.

Enable large-scale evaluation of AI models via cloud-based metrics.

Enable large-scale evaluation of autonomy software and models via simulations in the cloud.

Optimize performance, I/O and GPU utilization.

Build tooling and dashboards for rapid experimentation, orchestration and visualization.

Work with other teams to integrate cloud tooling into workflows.