Applied Intuition is looking to solve the problem of developing and integrating real-time AI/ML solutions for autonomous vehicles across various domains, including land, air, sea, and space, to deliver vehicle intelligence and shorten time to market.
Requirements
- MS or PhD in Computer Engineering, Robotic Engineering, Computer Science, or equivalent OR 5+ years of relevant experience working with simulation, machine learning, and ML infrastructure.
- Proficiency in training ML models in PyTorch on multi-machine, multi-GPU systems.
- Experience in optimizing and deploying machine learning models to edge devices
- Strong Python knowledge and high capability in C++
- A core understanding of sensor physics and sensor parameters
- Experience leveraging modern AI-powered development tools (e.g., GitHub Copilot, Cursor) to accelerate the creation of robust, well-tested systems
- Adeptness with remote software development, the ability to handle and process large datasets, and a capacity to learn new software and algorithms as needed with little supervision
Responsibilities
- Develop, integrate, and adapt cutting-edge AI/ML algorithms running on the perception autonomy stack to process aerial imagery across a variety of platforms and sensor types (e.g. EO, IR).
- Scale up datasets using a variety of state-of-the-art data generation techniques including simulation, diffusion, and gaussian splats
- Create inference software providing low-latency, real-time feedback to autonomy software on-board live platforms
- Collaborate across the hardware, sensor, tracking, autonomy, and testing teams to ensure seamless deployment in on-site DoD testing and demonstration events
- Leverage software-in-the-loop and hardware-in-the-loop testing and profiling to collect performance data
- Interact with the DoD customer to understand their use cases, requirements, and triage needs during field events to deliver a superior customer experience
- Rapidly design, develop, and integrate AI/ML models to interface across different platforms, processing data in real-time with real military operators in the loop
Other
- Must be willing to travel as projects require, usually for SW/HW integration and/or demonstrations; estimated average travel is 2-5 days every other month (10-20%)
- Must be a U.S. Citizen
- Must hold or be eligible for a U.S. Secret security clearance
- MS or PhD in Computer Engineering, Robotic Engineering, Computer Science, or equivalent
- 5+ years of relevant experience working with simulation, machine learning, and ML infrastructure
