ML Infrastructure Engineer

Gridware

San Francisco, CA hybrid Until 8/22/2026 5+ years exp First posted March 18, 2026 Last posted March 18, 2026

Job description

About Gridware

Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware’s advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit www.Gridware.io.

Role Description

As a Senior ML Infrastructure Engineer, you will work directly in the Automation org with the core ML, Ops, and Analytics teams to help improve and build out the infrastructure around model deployment and monitoring. This role is essential to helping scale out the amount of time saving’s Gridware brings to customers.

Responsibilities

Design, build, and maintain the infrastructure, tooling, and workflows that enable reliable, scalable deployment of ML models to production.
Develop monitoring and observability systems to track model performance, data drift, data quality, and overall system health.
Create and maintain end-to-end testing frameworks and simulation environments to validate models and pipelines prior to deployment.
Work closely with Data Engineering and Platform Engineering teams to ensure ML systems integrate cleanly with broader Gridware infrastructure and operational standards.
Improve CI/CD pipelines for ML workloads, ensuring reproducibility, safe rollout, and automated rollback strategies.

Required Skills

5+ years of experience building production ML infrastructure
Strong software engineering skills and proficiency in Python
Experience with cloud platforms (AWS) and container orchestration (Kubernetes)
Familiarity with feature stores, model registries, or centralized metadata systems (i.e. MLFlow)

**At this time, Gridware is unable to provide visa sponsorship or immigration support for this role. We’re only able to consider candidates who are currently authorized to work in the country of employment without visa sponsorship now or in the future.**

This describes the ideal candidate; many of us have picked up this expertise along the way. Even if you meet only part of this list, we encourage you to apply!

Gridware Technologies Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law.

Benefits

Health, Dental & Vision (Gold and Platinum with some providers plans fully covered)

Paid parental leave

Alternating day off (every other Monday)

“Off the Grid”, a two week per year paid break for all employees.

Commuter allowance

Company-paid training

Compensation (from employer):
190000–250000 USD per year

About this role

Summary

Build and maintain scalable ML deployment infrastructure, monitoring, and CI/CD pipelines.

Job title

ML Infrastructure Engineer

Experience level

5+ years

Minimum experience

5+ years exp

Industry

software

Location requirements

San Francisco, CA; no remote work allowed

Salary

$190k–$250k

Management role

Skills & keywords

Required skills

PythonAWSKubernetesMLFlow

Preferred skills

None specified

Specializations

ML infrastructuredeploymentmonitoringcloud platformsKubernetes

Locations

Structured locations inferred from the posting.

San Francisco, CA, USA

On-site City