NextChapter
← Search all jobs

ML Infrastructure Engineer

Gritt Robotics

South San Francisco, CA · Posted May 26, 2026

Just laid off? Start here: a plan for the first weeks

See every open role at Gritt Robotics

More in California job market · Technology & Software · Data & Analytics jobs

More roles at Gritt Robotics

Similar jobs

Data & Analytics jobs in the rankings

Rankings about data & analytics jobs

Data & Analytics jobs · Top Data & Analytics employers · All rankings

How AI is used in this kind of work

Among computer and information research scientists, AI is already used for a large share of the tasks. Measured exposure for computer and information research scientists: 34% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

Check how this applies to your own job

Skills this job asks for

Say which you have and which you want to build. We use it to match you to jobs like this one.

  • Python
  • AWS
  • Azure
  • CI/CD
  • Kubernetes

About the job

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. The founding team https://www.gritt.ai/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.