Bot Auto
Software Engineer, Machine Learning Infrastructure
Houston, TX or San Francisco Bay Area BasedmidAdded 2 days ago
About this role
Bot Auto seeks a Software Engineer to design and scale machine learning infrastructure for autonomous vehicle perception and training systems. You'll architect evaluation platforms, optimize distributed training workflows, manage datasets, and build MLOps services that support rapid model iteration and deployment.
What you'll do
- Architect scalable evaluation platforms for autonomous driving perception and prediction models with actionable metrics
- Optimize and scale distributed training workflows with experiment tracking and reproducibility
- Design versioned dataset and feature stores to accelerate model development
- Build automated ML pipelines for data preparation, training, validation, and deployment
- Maintain data infrastructure layers (S3, Delta Lake) supporting annotation and training workflows
- Develop production ML services with reliability, observability, and continuous improvement
What they're looking for
- Python programming
- C++
- ML/DL infrastructure (evaluation, training, dataset management)
- Distributed systems and Kubernetes
- Data pipeline development
- MLOps and model lifecycle management
- Spark or equivalent frameworks
- Container orchestration
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