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Gritt Robotics

ML Infrastructure Engineer

South San Francisco
Level
Mid
Work type
On-site · South San Francisco

Not stated in the posting: salary, visa.

Open. First seen 2 October 2026.

Apply on the company's site →

About the role

Gritt Robotics's standard text

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, Congruent Ventures, and other leading firms.

Role: Software - ML Infrastructure Engineer

Location: SF Bay Area (in-person)

About the role

We’re looking for an experienced ML 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.

What you’ll get to work on

  • 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.

What we look for

  • Degree in computer science or related engineering disciplines (or equivalent experience).
  • 4+ years of experience 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, 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.
  • Should be comfortable taking ownership of tasks with light supervision.
  • Must have excellent problem-solving skills.
  • Legally authorized to work in the United States.

What this role asks for

Particular to this role

Airflow · Golang

Rare in Gritt Robotics's other 15 open postings.

Standard for DevOps / SRE / cloud roles

AWS · Azure · CI/CD · Docker · GCP · Kubernetes

Common in DevOps / SRE / cloud postings at any company.

In most of Gritt Robotics's ads

Python

Named in most of its open postings, whatever the role.

76% of this description is written for the role. The rest is Gritt Robotics's standard text, folded away below.

Compared with Gritt Robotics's other open jobs.

The team: R&D - Software

This role is one of 13 open in R&D - Software.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

Python (12 of 13), C++ (7 of 13), PyTorch (5 of 13), Machine Learning (4 of 13), ROS (4 of 13), AWS (3 of 13), GCP (3 of 13)

OTHER ROLES ON THIS TEAM

From the team and dates on Gritt Robotics's own job board.

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