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ML Cloud Infrastructure Engineer

havocaiRemote Cloud
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Salary
$150K – $175K
Job type
Full-time
Work mode
Remote
Experience
Mid · 3+ yrs
Posted
14 Sept 2026
Status
Open · checked 7d ago

About this role

HavocAI offers a remote ML Cloud Infrastructure Engineer position to build and operate scalable systems for training, evaluating, and deploying machine learning models. This role suits a software, infrastructure, or data engineer with hands-on machine learning experience who wants to develop production infrastructure for autonomous systems.

Role Overview

HavocAI is seeking a Machine Learning Cloud Infrastructure Engineer to design the platforms and pipelines connecting data lakes, telemetry stores, simulation environments, and cloud compute. This team member will enable autonomy and software engineers to transition efficiently from raw field data to reproducible datasets and production deployments in a remote setting.

Key Responsibilities

Build pipelines that transform raw multi-modal data, including telemetry, imagery, video, sensor, and simulation data, into curated and versioned training datasets.
Design, build, and operate scalable AWS infrastructure using Infrastructure as Code alongside Kubernetes and containerized workloads.
Develop reproducible training and evaluation workflows, experiment tracking, and model deployment infrastructure for serving and inference.
Implement secure infrastructure practices, including IAM least privilege, secrets management, and secure handling of sensitive data.
Establish monitoring, logging, tracing, and observability across training jobs, data pipelines, and deployed models.

Requirements

Three or more years of experience in software engineering, infrastructure engineering, data engineering, ML infrastructure, or a related field.
Strong programming experience in Python, with preference for Go, C++, or another systems-oriented language.
Hands-on experience with ML workflows such as dataset preparation, model training, evaluation, or deployment.
Experience with cloud infrastructure, preferably AWS, Infrastructure as Code, Kubernetes, and containerized environments.
U.S. Citizenship and the ability to obtain and maintain a U.S. Government security clearance.

Nice to Have

Experience with MLOps and workflow platforms such as MLflow, Weights & Biases, Kubeflow, Ray, Airflow, or Dagster.
Experience with GPU or accelerator scheduling, distributed training, or large-scale ML workloads.
Experience working with multi-modal datasets including imagery, video, telemetry, sensor, or simulation data.
Experience supporting autonomy, robotics, simulation, or real-time systems and edge deployments.
Experience with AWS GovCloud, GCP Assured Workloads, or compliance-driven environments like FedRAMP or IL4/IL5.

Skills and Tools

Python
Go
C++
AWS
Kubernetes
EKS
Infrastructure as Code
MLflow
Weights & Biases
Kubeflow
Ray
Airflow
Dagster

Salary and Benefits

Salary range of $150K to $175K with offers of equity and bonus.
100% employer-paid health, dental, and vision insurance for employees and families.
Employer-paid life insurance and participation in the company 401(k) program with matching.
Unlimited PTO policy with an enforced two-week minimum and 16 weeks of paid parental leave.
Work from home office stipend, Global Entry, and a monthly health and wellness stipend.

About the Company

Founded in 2024 and headquartered in Providence, Rhode Island, Havoc is a leader in all-domain collaborative autonomy. The company builds software-defined hardware that powers military and commercial-grade autonomous systems across sea, air, and land to help assets share information and operate in complex environments.

How to Apply

To apply for this role, please visit the official HavocAI careers page.

Skills and tech stack

PythonGoC++AWSKubernetesEKSMLflowWeights & BiasesKubeflowRayAirflowDagsterAWS GovCloudGCPMLOpsMachine Learning

Questions candidates ask

Is this position remote?

Yes, the ML Cloud Infrastructure Engineer role is listed as a remote position.

What is the salary and benefits package for this role?

The salary ranges from $150K to $175K with equity and bonus offers. Benefits include 100% employer-paid health, dental, and vision insurance, 401(k) matching, unlimited PTO with a two-week minimum, 16 weeks of paid parental leave, and various stipends.

What are the citizenship or security clearance requirements?

Candidates must be U.S. citizens and have the ability to obtain and maintain a U.S. Government security clearance.

How many years of experience are required?

The posting requires 3+ years of experience in software engineering, infrastructure engineering, data engineering, ML infrastructure, or a related field.

What programming languages are expected?

Strong programming experience in Python is required, with experience in Go, C++, or another systems-oriented language preferred.

Ready to apply?

The application is on the official havocai careers page.

Apply on company site