ML & Cloud Infra Engineer — Scalable AI Pipelines (SF)

Gritt Robotics; South San Francisco (CA); In loco; USD 140.000 - 180.000; Tempo pieno

Descrizione del lavoro

Gritt Robotics in the SF Bay Area is seeking an experienced ML & Cloud Infrastructure Engineer to architect scalable cloud infrastructure for AI and data pipelines. As an early team member, you will directly influence product evolution and deployment of high-performance ML pipelines in production.

You will own cloud tooling, CI/CD, data ingestion and model evaluation pipelines, with emphasis on portability, reliability and performance across GPU-backed workloads in a fast-growing robotics

Competenze

• 4+ years deploying high-performance ML pipelines in production.
• Proficient in Python and comfortable with C++/Go.
• Experience with ML frameworks like PyTorch.
• Experience with IO and data-loading workflows (Parquet, HDF5, TFRecord).
• Experience deploying on cloud platforms like AWS, GCP or Azure.
• Experience with tooling like Docker, Kubernetes, and Airflow.
• Legally authorized to work in the United States.
• Degree in computer science or related engineering disciplines.

Mansioni

• Develop and deploy scalable ML pipelines in the cloud.
• Spin up distributed data ingestion, training and evaluation pipelines.
• 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.

Conoscenze

ML pipelines

Python

C++/Go

PyTorch

Parquet/HDF5/TFRecord

Cloud platforms

Docker

Kubernetes

Airflow

Ownership

Problem-solving

US work authorization

Formazione

B.S. in Computer Science

Strumenti

Docker

Kubernetes

Airflow

Descrizione del lavoro

Gritt Robotics in the SF Bay Area is seeking an experienced ML & Cloud Infrastructure Engineer to architect scalable cloud infrastructure for AI and data pipelines. As an early team member, you will directly influence product evolution and deployment of high-performance ML pipelines in production.

You will own cloud tooling, CI/CD, data ingestion and model evaluation pipelines, with emphasis on portability, reliability and performance across GPU-backed workloads in a fast-growing robotics