---
title: 'Data and ML Infrastructure Engineer at HavocAI'
canonical: 'https://feeny.ai/job/data-and-ml-infrastructure-engineer-havocai-remote-cvktwbd92gbt'
type: 'job'
last_seen: '2026-09-17'
---

# Data and ML Infrastructure Engineer at HavocAI

- **Company:** HavocAI
- **Location:** Remote
- **Compensation:** $150k–$185k
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-09-16
- **Last confirmed live:** 2026-09-17
- **Apply:** https://jobs.ashbyhq.com/havocai/e1c6e4e6-c1fb-41d4-99fd-9d9acb557b03

## Job description

About Us: Havoc is a leader in all-domain collaborative autonomy. Its software-defined hardware approach powers military and commercial-grade autonomous systems across sea, air, and land to sense, decide, and act together in complex and contested environments. Havoc connects assets, enabling them to share information, adapt in real time, and continue operating even when communications are disrupted or denied. Havoc optimizes mission performance and minimizes human risk.

Havoc was founded in 2024 and headquartered in Providence, Rhode Island. Learn more at [Havoc: All-Domain Collaborative Autonomy](http://havocai.com/) .

## About the Role

As a Data & ML Infrastructure Engineer, you will build the data infrastructure that enables HavocAI to develop, evaluate, and continuously improve autonomous systems. You will own the pipelines and tooling that transform large volumes of video, imagery, telemetry, sensor data, autonomy logs, and mission data into organized, searchable, and reproducible datasets. Your work will provide Autonomy and Perception engineers with the high-quality data they need to train models, evaluate system performance, reproduce failures, and improve deployed capabilities. A major focus of this role will be HavocAI’s internal video and telemetry data lake, including ingestion, storage, indexing, metadata, curation, quality, labeling, and dataset generation. This is a hands-on engineering role for someone who enjoys building scalable infrastructure and turning messy real-world data into reliable engineering tools and ML-ready datasets.

## What You’ll Do

Data Infrastructure & Pipelines

- Build and maintain infrastructure for video, imagery, telemetry, sensor data, autonomy logs, mission data, and field-test data.
- Own data ingestion, storage, indexing, metadata, access patterns, and lifecycle management within HavocAI’s data lake.
- Develop scalable pipelines that transform raw operational data into curated datasets for ML training, evaluation, debugging, and analysis.
- Build tools for searching, filtering, tagging, and retrieving data across platforms, missions, operating conditions, and events.
- Design infrastructure capable of handling large volumes of multimodal operational data efficiently and reliably.

Dataset Curation & ML Enablement

- Build workflows to select, clean, label, validate, and version datasets.
- Partner with Autonomy, Perception, Software, and Field Operations teams to identify high-value data for model development and system evaluation.
- Support annotation and labeling workflows for video, imagery, tracks, telemetry, and other ML inputs.
- Develop reproducible dataset-generation workflows for training, validation, regression testing, and benchmarking.
- Integrate datasets and data infrastructure with model training, experiment tracking, evaluation, and deployment workflows.
- Support multimodal dataset construction, including synchronization and alignment across sensors and data streams.

Data Quality & Reliability

- Develop automated checks for missing streams, corrupted files, synchronization issues, metadata gaps, labeling errors, and pipeline failures.
- Establish standards for dataset quality, lineage, versioning, and reproducibility.
- Build monitoring and observability around critical data pipelines and infrastructure.
- Troubleshoot complex data and infrastructure issues and drive them through resolution.
- Use field data, logs, and test results to help engineering teams understand system performance and identify opportunities for improvement.

Developer Tools & Collaboration

- Build self-service tools that make operational data easier for engineers to discover, access, analyze, and use.
- Partner closely with Autonomy, Perception, Software, Simulation, Field Operations, and Program teams.
- Translate engineering and ML requirements into scalable data capabilities.
- Improve workflows for replaying, visualizing, analyzing, and comparing operational data.
- Maintain clear documentation, data standards, and best practices for internal data use, governance, and security.

## What We’re Looking For

- Bachelor’s degree in Computer Science, Data Science, Machine Learning, Electrical Engineering, Computer Engineering, Robotics, Applied Mathematics, or a related technical field.
- 3+ years of experience in data engineering, ML infrastructure, data platforms, backend systems, MLOps, or related engineering roles.
- Experience designing and operating production data pipelines for large-scale structured, semi-structured, or unstructured datasets.
- Experience working with video, imagery, time-series telemetry, sensor data, logs, or other high-volume operational data.
- Strong programming skills in Python and SQL.
- Experience with cloud storage, object stores, data lakes, databases, distributed processing, or modern data platforms.
- Familiarity with dataset versioning, metadata management, data lineage, access controls, and reproducible data workflows.
- Strong software engineering fundamentals, including testing, reliability, maintainability, and observability.
- Strong debugging skills and comfort working across complex data pipelines and production infrastructure.
- Ability to operate independently and take ownership in a fast-moving engineering environment.
- U.S. citizenship and ability to obtain and maintain a U.S. Government security clearance.

## Nice to Have

- Experience with ML infrastructure, MLOps, training pipelines, experiment tracking, model evaluation, or model registries.
- Experience managing video, perception, telemetry, or autonomous-system datasets.
- Experience with technologies such as S3-compatible storage, PostgreSQL, Spark, Ray, Airflow, Dagster, Kubernetes, Docker, or Kafka.
- Experience with data catalogs, dataset versioning platforms, feature stores, or labeling tools.
- Experience building search, replay, visualization, or analysis tools for video, telemetry, logs, or sensor data.
- Experience supporting annotation workflows for computer vision, perception, tracking, or autonomy.
- Familiarity with sensor synchronization, timestamp alignment, calibration metadata, log replay, or multimodal dataset construction.
- Experience with security, access controls, auditability, and data-handling requirements in government or defense environments.
- Experience supporting defense, robotics, autonomy, aerospace, or dual-use technology programs.
- Active or prior security clearance.

What Success Looks Like Within your first 12 months, you will have:

- Built reliable pipelines that move operational data from field capture into organized and searchable storage.
- Made HavocAI’s video, telemetry, and sensor data significantly easier for engineers to discover and use.
- Established reproducible workflows for creating high-quality datasets for model training, evaluation, and regression testing.
- Improved data quality, lineage, metadata, and observability across critical pipelines.
- Enabled Autonomy and Perception teams to move more quickly from field data → insight → dataset → model improvement → deployment.

Benefits:

- 100% Employer paid Health, Dental and Vision Insurance for you and your families
- Life Insurance (Employer Paid)
- Ability to participate in the companies 401k program (Matching)
- Unlimited PTO policy with an enforced 2 week minimum
- Equity Package
- Work / Home Office Stipend
- Global Entry
- 16 Week Paid Parental Leave
- Monthly Health and Wellness Stipend

Our Values:

- Innovation: We are driven to break new ground. Every day presents an opportunity to challenge the status quo, think boldly, and deliver advanced solutions that transform the future of defense technology.
- Integrity: We hold ourselves to the highest ethical standards, ensuring transparency, accountability, and trust in all our actions and partnerships.
- Mission-Driven: We are focused on achieving impactful outcomes that align with our core mission—protecting lives through innovation.
- Forward-Leaning: We continuously seek out new opportunities and remain at the forefront of technological advancements. We embrace change and anticipate the challenges of tomorrow with confidence and creativity.
- Ownership of All Tasks: At HavocAI, no problem is too complex or too trivial. We believe that greatness comes from tackling the hardest challenges, but also in handling the smallest, sometimes thankless, tasks with the same level of commitment and care.
- Servant Leadership: We lead by serving others, whether it’s supporting our employees, partners, or the broader community. Empowering those around us is key to achieving long-term success and making a lasting impact.

HavocAI is an Equal Opportunity Employer and is committed to creating an inclusive and diverse workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, sexual orientation, age, national origin, disability, veteran status, or any other legally protected status.

## About HavocAI

## Company Overview
- **One-liner**: HavocAI builds collaborative autonomy software that enables a single human operator to supervise thousands of autonomous assets across sea, air, and land in contested environments.
- **Entity Type**: Private (Series A)
- **Headquarters**: Providence, Rhode Island, United States
- **Founded**: 2024
- **Founders**: Paul Lwin (CEO) and Joe Turner (COO)

## Core Business
- **Primary industry/industries**: Defense and Space Manufacturing, Autonomous Systems, Maritime Security
- **Target customers**: U.S. Navy, Army, and allied defense forces; commercial maritime security operators
- **Mission or purpose statement**: "Minimize human risk in the world's most unstable environments, removing humans from the dull, dirty, and dangerous."

## Products & Services
- **Havoc C2**: An intuitive command-and-control interface that lets operators define intent and direct large numbers of autonomous assets across distributed systems, scaling complex multi-asset missions without proportional increases in manpower.
- **Havoc Connect**: A resilient peer-to-peer overlay network for data exchange across DDIL (Disrupted, Disconnected, Intermittent, Limited) networks, enabling systems to exchange commands, telemetry, and mission data even when connectivity is intermittent or degraded.
- **Havoc OS**: An operating system for autonomous systems at the edge, enabling heterogeneous platforms to carry out collaborative missions, adapt to changing conditions, and continue operating in DDIL environments.
- **Havoc Insights**: An intelligence layer that fuses AI and analytics, ingesting real-time data streams from vehicles, sensors, and system services to surface insights, trends, and anomalies for mission-level decision support.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: Total Funding of $197.2M across three rounds (Seed, two Series A tranches)
- **Notable Investors/Partners**: Scout Ventures, Trousdale Ventures, IQT (lead Series A), Azak (MOU for autonomous ground systems)
- **Growth Signals**: Headcount grew 221.3% year-over-year to 98 employees; acquired Mavrik in March 2026; over 25,000 hours of autonomous operations; 11 active job postings with quarterly growth of +10.0%

## Competitive Advantages
- **Software-defined autonomy**: Havoc's platform is platform-agnostic, integrating with existing vehicles, sensors, and C2 networks without major redesigns, making it interoperable across sea, air, and land domains.
- **Human-on-the-loop architecture**: Enables a single operator to supervise thousands of autonomous assets, dramatically reducing manpower requirements for complex multi-asset missions.
- **DDIL resilience**: Havoc Connect creates a resilient peer-to-peer overlay network that maintains operations even when communications are disrupted, intermittent, or denied — a critical capability for contested military environments.
- **Proven track record**: Over 25,000 hours of autonomous operations, validated through real-world exercises with U.S. Navy and Army stakeholders.

## Strategic Focus
- **All-domain collaborative autonomy**: Scaling from maritime to air and land domains, enabling heterogeneous platforms to work together seamlessly.
- **Fully adaptive maritime autonomy**: Building systems that can anticipate, collaborate, and make independent decisions in dynamic environments.
- **International expansion**: Head of Europe appointed (Theodora Dell), indicating a push into allied defense markets.
- **Ground systems expansion**: MOU with Azak to produce high mobility autonomous ground systems, diversifying beyond maritime.

## Why Work Here
- **Mission-driven work**: Employees work on cutting-edge autonomy technology that directly reduces human risk in dangerous environments — "removing humans from the dull, dirty, and dangerous."
- **Strong growth trajectory**: 221.3% headcount growth year-over-year, with $197.2M in total funding, indicating a well-capitalized, scaling organization.
- **Comprehensive benefits**: 100% employer-paid medical, dental, and vision for employees and families; stock options; 16 weeks fully paid parental leave; unlimited PTO with a two-week enforced minimum; monthly wellness stipend; home office stipend; 401(k) program; Global Entry reimbursement.
- **Work model**: Remote and hybrid options available, with corporate HQ, test, and production facilities in Providence, RI. Open roles also listed in Honolulu, HI and San Diego, CA.
- **Engineering culture**: Deep technical challenges in autonomy, robotics, edge computing, and defense-grade software. Team includes talent from US Navy, MIT Lincoln Laboratory, Anduril, Shield AI, and Lockheed Martin.

## Sources
1. [havocai.com](https://www.havocai.com/)
2. [havocai.com/careers](https://havocai.com/careers)
3. [havocai.com/about](https://havocai.com/about)
4. [linkedin.com/company/havocai](https://www.linkedin.com/company/havocai)
5. [jobs.ashbyhq.com/havocai](https://jobs.ashbyhq.com/havocai)

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