Who We Are

Modalic builds UAVs to extend swarm range and enable real-time multi-domain sensing. Our carrier UAVs and sensing swarms use spatial AI to bring reality capture to the US and our Allies.

We started Modalic to unlock the potential of collaborative swarming. Attritable UAVs are limited by their range, payload capacity, and computational power. Modalic’s platforms put an end to this paradigm and bring swarms beyond the front lines.

Modalic was founded by experts in autonomous systems and multi-domain intelligence. Our team rapidly delivers critical technology to our national security users.

What You Will Be Doing

As an early Modalic employee, you will get to help decide the direction of our future. We are looking for a Software Engineering, Mission Autonomy that will have the following responsibilities:

• Design control algorithms for PX4 UAV flight controllers.
• Implement GPU accelerated SLAM algorithms for unique sensor configurations.
• Develop computer vision algorithms on edge devices for high frame rate visual SLAM systems.
• Deploy state-of-the-art multimodal AI models, from training to deployment on edge devices using best practices in MLOps.
• Develop graph algorithms for motion planning and multi-agent collaboration.
• Conduct system testing, validation, and troubleshooting to ensure optimal performance and safety.
• Collaborate with cross-functional teams, including hardware engineers, software developers, and product managers, to deliver high-quality UAV solutions.
• Keep up to date on the latest advancements in UAV autonomy.
• Fly autonomous UAVs you have designed, built, and will deliver to customers.
  
  

Preferred Qualifications

• Proven experience with PX4 UAV flight controllers.
• Strong knowledge of companion computers and their integration with UAV systems.
• Proficient in programming languages such as Rust and C++.
• Experience with ROS (Robot Operating System).
• Experience developing and/or using the latest in vision- and signals-based autonomous navigation techniques for UAVs.
• Proficiency in developing and implementing path planning algorithms for autonomous systems.
• Expertise in model-based optimization techniques.
• Experience running compute-constrained code on embedded systems.
• Solid understanding of control theory, signal processing, and robotics.
• Excellent problem-solving skills and the ability to work in a fast-paced startup environment.
• Strong communication skills and the ability to work effectively in a team.
• Bachelor's, Master's, or Doctorate degree in Electrical Engineering, Aerospace Engineering, Robotics, Computer Science, or a related field.
  
  

ITAR Requirement

In compliance with International Traffic Arms Regulations (ITAR), candidates must be U.S. Citizens, U.S. Permanent Residents (Green Card holders) or individuals granted asylee/refugee status as defined by 8 U.S.C. 1324b(a)(3).

Equal Opportunity Commitment

We are committed to being an equal opportunity employer. We encourage applications from all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.