Perception & Sensor Fusion Engineer — Swarm UAVs (Edge Compute)

Swarm Aero; United States; Remote; USD 120,000 - 190,000; Full time

Benefits offered by this job

Meaningful equity

Competitive base salary

Medical, dental, vision, and 401k

PTO and paid sick leave

Monthly wellness stipend

Daily catered lunch (office)

Paid parental leave

Job summary

Swarm Aero seeks a Perception & Sensor Fusion Engineer to develop algorithms for large drone swarms, enabling a shared battlespace picture. You will work on automatic target recognition, track management, and on-vehicle state estimation using Kalman/particle filters and multi-target tracking.

You will design distributed fusion to merge swarm tracks, optimize for real-time edge inference, and rigorously validate against flight data and simulations. Onsite testing trips up to 25% are expected.

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 (training, evaluation, and deployment of neural networks for detection or classification).
• Strong programming skills in C++, Rust, Go, and/or Python.
• Track record of taking algorithms from research to deployment on a real system.

Responsibilities

• 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.

Skills

Estimation theory

Multi-target tracking

Deep learning

Programming: C++, Python, Rust, Go

Deployment on real systems

Education

MS or PhD in Robotics/CS/EE/Applied Math

Tools

TensorRT deployment

ONNX deployment

Job description

Swarm Aero seeks a Perception & Sensor Fusion Engineer to develop algorithms for large drone swarms, enabling a shared battlespace picture. You will work on automatic target recognition, track management, and on-vehicle state estimation using Kalman/particle filters and multi-target tracking.

You will design distributed fusion to merge swarm tracks, optimize for real-time edge inference, and rigorously validate against flight data and simulations. Onsite testing trips up to 25% are expected.