Manufacturing Intern at Allen Control Systems (Austin, TX)

Job description

Manufacturing Intern(s) - Summer 2026

Mission-Driven Impact: Employees work on a direct, tangible defense problem—protecting soldiers and bases from drone attacks. The work has immediate operational relevance.
High-Growth Environment: The company is in a hyper-growth phase (261% headcount growth, $2.2B valuation), offering rapid career advancement and the excitement of scaling a company from early stage.
Cutting-Edge Tech: The engineering team works on the intersection of robotics, AI, computer vision, and weapons systems. The tech stack includes modern tools (Docker, Kubernetes, SQL, Terraform, Unreal Engine for simulation).
Talent Density: The company has attracted talent from top aerospace/defense firms (Firefly Aerospace, Lockheed Martin, L3Harris, Saronic) and tech companies (DoorDash), indicating a strong peer group.
Work Policy: Roles are primarily on-site in Austin, TX (with some remote roles available, e.g., Technical Writer). The company has a strong physical manufacturing and testing component.
Culture: Described as a robotics defense company purpose-built for a new era of drone warfare, emphasizing speed, innovation, and practical results. The leadership team is composed of veterans and engineers who value technical excellence.

One-liner: Allen Control Systems (ACS) is a robotics defense company building autonomous, AI-powered weapon stations to counter drone threats for military and national security clients.
Entity Type: Private (Series B)
Headquarters: Austin, Texas, United States (with a secondary office in Alexandria, Virginia)
Founded: 2023
Founders: Luke Allen (CEO), Steve Simoni (President), Mike Wior (CTO)

Primary Industry: Defense and Space Manufacturing (Counter-Unmanned Aerial Systems / C-UAS)
Target Customers: U.S. Department of Defense, national security communities, allied military forces (B2G / Government)
Mission: To deliver advanced robotic capabilities that fill modernization demands across the defense industry, enabling any weapon system to achieve precise, autonomous aiming and impact against drone swarms and other aerial threats.

Bullfrog™ (M240C / M230 / M2 / M134): A family of autonomous weapon stations that integrate with legacy and modern weapon systems (from M240 machine guns to M230 chain guns and M2 heavy machine guns). These stations use passive sensing (no radar), computer vision, and AI to detect, track, and engage Group 1-3 UAS (drones) at ranges of 800m to 1,500m.
Autonomous Fire Control System: Proprietary software that uses machine vision and synthetic data generation to search for, detect, and accurately target drones. It is built on an open architecture for integration with existing command-and-control (C2) systems.
Training Data Generation: A service that generates synthetic data to keep the AI models up-to-date with current and evolving drone threats.
Land & Sea Platforms: The company’s weapon stations are designed for deployment on individual platforms (vehicles), convoys, and naval vessels.

Valuation: $2.2 billion (as of Series B, approximately June/July 2025)
Key Metric – Total Funding: $242 million raised to date.
- Seed Round (April 2024): $12 million led by Craft Ventures.
- Series A (April 2025): $30 million led by Craft Ventures.
- Series B (~June/July 2025): $200 million (valuation $2.2B). Investors include Rally Ventures, Forum Ventures, Inspired Capital, Litquidity, and 12+ others.
Notable Investors/Partners: Craft Ventures (lead), Rally Ventures, Forum Ventures.
Growth Signals: The company has experienced massive growth. Headcount grew +261.8% year-over-year to 131 employees. The company is actively scaling manufacturing with 64+ open job postings. It has expanded from a seed-stage startup to a $2.2B valuation in just over two years, reflecting strong market demand for C-UAS solutions.

Passive Sensing: Unlike many competitors, ACS systems do not require radar, allowing military units to remain covert and avoid electronic signature detection.
AI & Computer Vision Moat: The company uses proprietary machine vision and synthetic data generation to maintain a rapidly updating threat library, making the system effective against novel drone types and swarms.
Open Architecture: The system integrates easily with existing military C2 systems, avoiding vendor lock-in and simplifying adoption.
Founder Expertise: The founding team (Navy veterans and nuclear engineers with experience at Stanford, Penn State, and DoorDash) brings a rare combination of deep technical robotics/AI knowledge and direct military operational experience.

Manufacturing Scale-Up: The primary use of the $200M Series B is to expand manufacturing capacity to meet surging demand from the DoD and allied nations.
Product Development: Continued development of advanced systems for Group 3+ UAS threats and final protective fires, as well as expanding into naval and convoy defense configurations.
Talent Acquisition: Aggressively hiring across engineering (Computer Vision, ML, Controls, Embedded, Mechanical, Electrical), manufacturing, and operations to build out the team.

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