This is truly a unique opportunity to join a ambitious organisation who are building the foundational AI for defense. Their first cutting edge product is an automated targeting AI that detects, remembers, and shares targets in real time by watching any sensor on any network – Delivering modular, insightful knowledge of where adversaries are on any drone, ship, vehicle, satellite, or command center. It has been tested in more than DOD exercises on sea, land, and air and industry partnerships.
With more than $12M raised in funding so far this is a great time to join a hugely talented team and mission leaders in defense with the opportunity to make an impact from day 1.
Required qualifications
- 3+ years of relevant industry experience with emphasis on integration(s) within customer systems
- Knowledge of databases technologies (e.g., Postgres, SQLite, Redis)
- Experience with complex architectures and codebases (e.g. SOA or microservices)
- A deep, demonstrated understanding of how computers and networks work, from a single desktop to a multi-cluster cloud node
- Experience with modern deployment technologies - CI/CD, Kubernetes, Docker)
- Experience building scalable backend software systems with various data storage and processing requirements
- Experience with Python is required and at least 3+ years working with at least one of the following languages: Rust, Go, C/C++, Typescript, or JavaScript
- An understanding of basic Networking concepts to include TCP/IP, UDP, HTTP, firewalls, basic routing concepts, and load balancers
- US Citizenship and eligibility for a Secret security clearance is required; an active Top Secret clearance is strongly preferred
Bonus points for any of the following..
- Proficiency in at least one popular ML framework, e.g. Tensorflow or Pytorch
- Experience with computer vision models, sensor fusion, robotics, geospatial data, and fundamental deep learning research
- Familiarity with front end technologies such as React, TailwindCSS or Electron
If you are interested in this position, please apply via LinkedIn now!
