Modern Intelligence builds Sovereign, targeting software for unmanned systems. Manufacturers install it on UAVs, USVs, UUVs, and other unmanned vehicles. Sovereign runs on the vehicle’s computer. It detects, classifies, and tracks targets from the onboard cameras, keeps identity when the picture breaks up, and can run terminal guidance into impact. It keeps working when GPS is out and the radio is jammed.
We’ve held Department of War contracts, including work with Air Force Special Operations and SOCOM.
We’ve raised more than $12 million from Bedrock, Vine, Contrary, Air Street, Caffeinated, Champion Hill, Swell, Myelin, and others.
Details
We are looking for a software engineer excited to take technology demonstrated on test ranges and relatively peaceful theaters and see it proven on the battlefield.
We have a small software team, but are looking to grow it rapidly. We are seeing significant increase in customer engagement and are looking to expand capacity on an established team. We need engineers willing to travel and support field deployments and integrations. And importantly, we want to take our product to and prove it in Ukraine.
Our product, Sovereign, is an Automated Target Recognition and Automated Terminal Guidance solution that works on any platform in any domain - we are currently working to expand its capability to meet any autonomy requirement for any unmanned system.
We are looking for engineers passionate about drones, autonomy, supporting our service men and women, and defending democracy and freedom around the world.
Requirements
- Proficiency in a compiled systems language: C++, Rust, or C. Our primary codebase is C++20; we do not expect you to know C++20 on day one, but we do expect you to already think in terms of memory, types, and build artifacts.
- Comfortable writing Python.
- Comfortable developing on Linux: command line, git, and code review.
- Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Mathematics, or comparable, or equivalent demonstrated experience.
- Willingness to travel and support field deployments and integrations.
- Must be a U.S. person (U.S. citizen, lawful permanent resident, or other protected individual as defined by 8 U.S.C. 1324b(a)(3)). This role works on export-controlled technology.
Preferred Qualifications
- Experience with Bazel, or with CMake and an appetite for learning Bazel.
- Applied linear algebra: coordinate frames, covariance, Kalman filters, geodesy.
- Experience with Docker and containerized builds.
- Experience with video pipelines: GStreamer, ffmpeg, RTSP/RTP/etc.
- Experience with an inference runtime such as ONNX Runtime or TensorRT.
- Experience with CUDA or GPU programming.
- Experience with cross-compilation and embedded Linux, such as Jetson and ARM targets.
- Experience with protobuf and/or gRPC.
- Experience with TypeScript and React (our operator UI), or with PyTorch (our model training and export)
Nice to have
- Experience with Dart and Flutter.
- Experience targeting ML accelerators: Hailo, Qualcomm QNN, XNNPACK, ARM Compute Library.
- Experience building for Windows, macOS, or Android.
- Experience with MAVLink or other drone software.
- Experience with Slurm or other cluster training workflows.
- Prior defense industry experience, or an active or previously held clearance.
People’s lives will depend on the code that you write here. If you want to do something that actually matters, let us know.
Skills Required
- Proficiency in a compiled systems language: C++, Rust, or C
- Comfortable writing Python
- Comfortable developing on Linux, including command line, Git, and code review
- Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Mathematics, or comparable field, or equivalent demonstrated experience
- Willingness to travel and support field deployments and integrations
- Must be a U.S. person, including a U.S. citizen, lawful permanent resident, or other protected individual under 8 U.S.C. 1324b(a)(3)
- Experience with Bazel, or CMake with willingness to learn Bazel
- Applied linear algebra, including coordinate frames, covariance, Kalman filters, or geodesy
- Experience with Docker and containerized builds
- Experience with video pipelines such as GStreamer, FFmpeg, RTSP, or RTP
- Experience with ONNX Runtime or TensorRT
- Experience with CUDA or GPU programming
- Experience with cross-compilation and embedded Linux, including Jetson or ARM targets
- Experience with Protocol Buffers and/or gRPC
- Experience with TypeScript and React, or PyTorch
- Experience with Dart and Flutter
- Experience targeting ML accelerators such as Hailo, Qualcomm QNN, XNNPACK, or ARM Compute Library
- Experience building for Windows, macOS, or Android
- Experience with MAVLink or other drone software
- Experience with Slurm or other cluster training workflows
- Prior defense industry experience or an active or previously held security clearance
What We Do
Building One A.I. For Defense.
