• 6+ years of professional experience in computer vision or machine learning, including production deployment on edge hardware.
• Demonstrated experience shipping a detection or tracking system under real-world latency, small-object, or adversarial constraints.
• Strong engineering skills beyond modeling, including experience with PyTorch or JAX through to deployed, optimized inference.
• Proficiency in Python for model development and C++ or Rust for deployed inference.
• U.S. citizenship and ability to pass a background check.

Nice-to-Have

• Experience working with infrared (IR), thermal, or multi-spectrum camera systems.
• TensorRT and NVIDIA Jetson deployment experience at production scale.
• Multi-object tracking under challenging conditions.
• Multi-modal sensor fusion experience (EO/IR, radar, acoustic).
• Synthetic data generation and sim-to-real methodologies.
• Prior experience in defense or other safety-critical computer vision applications.
• Active security clearance, or eligibility to obtain one.

• A passion for building robots or engineering projects as a hobby.

Benefits

• 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.
• 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.
• 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.
• 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.
• 100% Employer-Paid Premiums: We cover 100% of your medical, dental, and vision insurance premiums and cover 50% of healthcare premiums for your dependents.
• Unlimited PTO: We value results, not clock-watching. Take the time you need to stay sharp and recharge.
• Zero Red Tape: You have the autonomy to make technical decisions that would take months of committee approval at a larger firm.
• Austin-Based Culture: Join an onsite team in Austin, TX, where we prioritize high-bandwidth collaboration and rapid field-testing.
• 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

1. Initial Screening with recruiter - 30 min phone call
2. 1st Round Virtual Interview - peer engineer + SWE Director (45 min via MS Teams)
3. 2nd Round Onsite Interview - CTO + Director + VP + peer(s) (~ 6 hours in-person) **will fly out candidates that are not local
4. Reference checks & offer

9 Mothers Policy on the Use of Artificial Intelligence (AI) During the Interview Process

The interviewing process is a mutual opportunity for us to get to know each other better. Our goal is to understand your unique background, evaluate your problem-solving abilities, and ensure a strong mutual fit.

AI is a core part of how we work at 9 Mothers—we actively encourage and frequently leverage AI tools in our day-to-day operations. However, during the hiring process, we need to evaluate your fundamental skills and expertise, not the outputs of an AI model.

To ensure a fair and transparent process, we ask that you adhere to the following interview guidelines:

• 1st-Round Interviews (No AI Allowed): The use of AI tools, assistants, code generation tools, or real-time copilots is strictly prohibited during all first-round interviews and assessments. The use of AI during this stage will result in immediate disqualification from the hiring process.
• 2nd-Round Interviews (Guided AI Usage): The second-round process includes opportunities to utilize AI. Your interview team will provide explicit guidance on how, when, and which AI tools to leverage during this stage.

We appreciate your cooperation in helping us maintain an authentic and fair interview experience for everyone.

Compensation: $110K - $300K