Gritt Robotics
ML & Cloud Infrastructure Engineer
South San Francisco
Sponsorship not specifiedDetected 56 days ago
PythonGoC++AWSGCPCloud PlatformsDockerKubernetesCI/CDMachine LearningA/B TestingRoboticsProblem Solving
About the role
- Spin up distributed pipelines for data ingestion, pre-processing, training and evaluation.
Responsibilities
- Gritt https://www.gritt.ai/ is an intelligent system that combines robotics and AI to build the infrastructure that pulls society forward.
- Gritt deploys via simple attachments to common equipment found on construction sites and autonomously performs labor-intensive tasks, verification, and planning.
- Gritt systems are already building critical infrastructure in the harshest outdoor environments, starting with large-scale solar.
- Build tooling and dashboards for rapid experimentation, orchestration and visualization.
Requirements
- Degree in computer science or related engineering disciplines (or equivalent experience).
- 4+ years of experience deploying high-performance ML pipelines in production.
- Experience with ML frameworks like PyTorch.
- Experience with IO and data-loading workflows, including formats like Parquet, HDF5, TFRecord etc.
- Experience with deploying on cloud platforms like AWS, GCP or Azure.
- Experience with tooling like Docker, Kubernetes, and Airflow.
- Must have excellent problem-solving skills.
Skills
- Software - ML & Cloud Infrastructure
- 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.
- Work with other teams to integrate cloud tooling into workflows.
Visa & Work Authorization
- Legally authorized to work in the United States.
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This listing is sourced directly from Gritt Robotics's careers page and normalized into a canonical job model.