Perception and Fusion Engineer

Swarmaero; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Swarm Aero seeks a Perception & Sensor Fusion Engineer to develop algorithms that give the world's largest drone swarm a shared, accurate view of the battlespace. You will focus on detection, tracking, and estimation, delivering end-to-end onboard fusion and real-time inference on edge compute.

Responsibilities include training recognition systems, implementing multi-sensor fusion, and validating performance with real flight data.

Qualifications

• MS or PhD in Robotics, Computer Science, Electrical Engineering, Applied Math, or related field, or equivalent depth of applied experience.
• Demonstrated expertise in estimation theory and multi-target tracking (Kalman/particle filters, JPDA, MHT, random finite sets, or similar).
• Hands-on deep learning experience with sensor fusion and real‑time inference.

Responsibilities

• Train, tune, and test automatic target recognition and track management systems using neural networks.
• Develop multi-sensor fusion and state estimation algorithms running onboard resource-constrained vehicles.
• Design distributed fusion approaches that combine tracks across the swarm into a single coherent picture.
• Rigorously characterize algorithm performance against real-world flight data and simulation.
• Optimize models and estimators for real-time inference on edge compute.
• Write clean, maintainable, and efficient code.
• Travel up to 25% for onsite test and integration events.

Skills

Estimation theory

Multi-target tracking

Neural networks

Deep learning

Education

MS/PhD in Robotics or related field

Tools

Kalman filters

Particle filters

Job description

Swarm Aero is redefining air power, building the largest swarming UAV and the most versatile swarming aircraft network in the world. The company is moving quickly to launch the first aircraft designed specifically for swarming, as well as the Command & Control software to mobilize swarms of thousands of heterogeneous autonomous assets and empower human operators to achieve superhuman results. The team has created and exited multiple startups, negotiated defense deals worth billions of dollars, and designed and built 30+ novel aircraft, with aerospace experience from Scaled Composites, Airbus, Archer Aviation, Blue Origin, and Boom Supersonic.

About the Role

We're looking for a Perception & Sensor Fusion Engineer to develop the algorithms that give the largest drone swarm in the world an accurate, shared picture of the battlespace. This is a deep algorithm role for someone who lives in the details of detection, tracking, and estimation, and wants to see their work fly.

What You'll Do

• Train, tune, and test automatic target recognition and track management systems using the latest advancements in neural networks.
• Develop multi-sensor fusion and state estimation algorithms (Kalman filters, particle filters, multi-target tracking) running onboard resource-constrained vehicles.
• Design distributed fusion approaches that combine tracks across the swarm into a single coherent picture.
• Rigorously characterize algorithm performance against real-world flight data and simulation.
• Optimize models and estimators for real-time inference on edge compute.
• Write clean, maintainable, and efficient code.
• Travel up to 25% of the time for onsite test and integration events.

Basic Qualifications

• MS or PhD in Robotics, Computer Science, Electrical Engineering, Applied Math, or related field, or equivalent depth of applied experience.
• Demonstrated expertise in estimation theory and multi-target tracking (Kalman/particle filters, JPDA, MHT, random finite sets, or similar).
• Hands-on deep learn