Job Description
Location : Onsite — Austin, TX
Employment Type : Direct Hire, Full‑Time
Job Title : Lead AI Engineer
About 9 Mothers
The modern battlefield has changed. Cheap, autonomous suicide drones have turned the tactical advantage upside down, and the world is looking for a solution. At 9 Mothers, we aren’t just "innovating"—we are building the shield.
Backed by top-tier investors, we develop AI powered machines designed to intercept and neutralize Group 1/sUAS threats in real-time. Our flagship product is a low-power, counter-drone system built for the edge—on vehicles, at bases, or in a soldier's pack.
Why 9 Mothers?
While others build for "awareness" or "long-term research," we build for the immediate survival of those in harm’s way. We are a team of hackers, engineers, and mission-driven builders who value field-ready capability over polished slide decks. If you want to see your code or hardware in the field next month—not next year—this is your playground.
Position Summary
We are seeking a Lead AI Engineer to join a small, experienced team. You will be the computational “brain” behind our next‑generation counter‑small unmanned aerial systems (c‑sUAS).
We don’t use RAG, LLMs, or pre-built cloud APIs. Our stack requires building from the ground up to solve high-stakes problems under strict Size, Weight, and Power (SWaP) constraints. You should be capable of building models from scratch and have a fundamental understanding of the problem space.
Essential Duties
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From-Scratch Modeling: Designing, training, and optimizing novel neural network architectures for threat classification and imitation learning-based control systems.
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Real-Time Execution: Deploying low-latency models to the edge (e.g., NVIDIA Jetson) where milliseconds determine the success of an interception.
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Sensor Fusion: Implementing robust techniques to interpret disparate data streams—radar, RF, acoustic, and optical—into a single world model.
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Anomaly Detection: Ensuring our systems identify custom-built, "zero-day" threats not found in any training set.
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Collaboration : Collaborate with the robotics and computer vision teams to ensure model output seamlessly translates into real‑time trajectory predictions for interceptor guidance.
Requirements
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Non-negotiable proficiency in Python and deep experience in PyTorch/TensorFlow AND understanding of the underlying linear algebra and calculus well enough to write core algorithms from scratch.
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Ability to thrive in a high-velocity environment where we "build-test-fail-repeat" daily.
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Understanding of the constraints of the "defense edge" and have practical experience optimizing models for resource-constrained hardware.
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U.S. Citizenship and the ability to pass a background check
Nice‑to‑Have
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Prior defense startup experience
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Passion for building robots or engineering projects as a hobby
Benefits
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Meaningful Early Equity: You aren't just an employee; you are a foundational owner. Your contributions directly drive the value of your stake in the company.
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Direct Roadmap Influence: Forget the bureaucracy of big defense. You will have a seat at the table, directly shaping our product and technology trajectory from day one.
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Mission-Critical Work: We don't build for "what if." We build systems the Department of War actively needs to counter immediate, real-world threats.
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The Builder's Playground: Work in a brand-new lab fully optimized for rapid prototyping, equipped with NVIDIA Jetsons, high-end scopes, and 3-D printers.
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100% Employer-Paid Premiums: We cover 100% of your medical, dental, and vision insurance premiums and cover 50% of healthcare premiums for your dependents.
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Unlimited PTO: We value results, not clock-watching. Take the time you need to stay sharp and recharge.
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Zero Red Tape: You report to the founders. You have the autonomy to make technical decisions that would take months of committee approval at a larger firm.
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Austin-Based Culture: Join an onsite team in Austin, TX, where we prioritize high-bandwidth collaboration and rapid field-testing.
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Relocation Assistance: We want the best talent in the room. If you aren't in Austin yet, we’ll help you get here, to make your transition to the Silicon Hills seamless.
About the Interview
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Application screen phone call (30 min)
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Virtual interview with co-founder/CTO + Director of Engineering (45 min via MS Teams)
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Paid take-home consulting agreement ($500, ~4-8 hours)
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Review work
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Virtual interview with co-founder/CEO (45 min via MS Teams)
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In-person visit to Austin
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Offer
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Job Details
- Location
- Austin
- Posted
- Mar 24, 2026, 04:30 PM
- Listed
- Mar 24, 2026, 04:30 PM
- Compensation
- $250,000 - $400,000 per year
About 9 Mothers
Part of the growing space & AI ecosystem pushing the frontiers of technology.
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