ML & Cloud Infrastructure Engineer

South San Francisco💼 Full-time🗓 2026-05-26 → 2026-09-25

Core

Architecting scalable cloud infrastructure for AI and data pipelines supporting robotics and autonomous systems.

Role type

Senior IC ML & Cloud Infrastructure Engineer

Builds

Scalable AI training/validation pipelines, distributed data ingestion/pre-processing/training/evaluation pipelines, CI/CD pipelines, cloud-based model evaluation tools, simulation environments, and performance optimization tooling.

Domain

Robotics, AI, Cloud Infrastructure, Data Engineering

Deliverable

production ML models | infrastructure

Required skills

Python, C++/Go, PyTorch, IO/data-loading workflows (Parquet, HDF5, TFRecord), cloud platforms (AWS, GCP, Azure), Docker, Kubernetes, Airflow, GPU utilization optimization

Responsibilities

Develop and deploy scalable AI training and validation pipelines; 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; Optimize performance, I/O and GPU utilization; Build tooling and dashboards for rapid experimentation, orchestration and visualization

Seniority

Senior, hands-on IC

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About gritt

Gritt 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. The founding team includes experts in robotics and AI from Carnegie Mellon, Stanford, and MIT. Gritt is backed by Obvious Ventures, Union Square Ventures, First Round Capital, Climactic, Cong