Edge AI Perception & Sensor Fusion Engineer

United States Digital Space LLC; United States; Remote; USD 180,000 - 260,000; Full time

Benefits offered by this job

Meaningful equity in a high-growth ...

Competitive base salary commensurate w

Medical, dental, vision, and 401k

PTO and paid sick leave

Monthly wellness stipend

Daily catered lunch (office)

Paid parental leave

Direct impact on a critical national …

A world-class team of engineers and …

Job summary

Swarm Aero is redefining air power with the world’s largest drone swarm and a comprehensive swarming aircraft network. We seek a Perception & Sensor Fusion Engineer to develop algorithms for a shared battlespace picture, focusing on detection, tracking, and estimation for edge devices.

The role involves advancing multi-sensor fusion, onboard state estimation, and distributed fusion across the swarm, with validation on 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 (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

C++/Rust/Go/Python

Deployment experience

Education

MS/PhD in Robotics or related field

Tools

TensorRT

ONNX

Job description

Swarm Aero is redefining air power with the world’s largest drone swarm and a comprehensive swarming aircraft network. We seek a Perception & Sensor Fusion Engineer to develop algorithms for a shared battlespace picture, focusing on detection, tracking, and estimation for edge devices.

The role involves advancing multi-sensor fusion, onboard state estimation, and distributed fusion across the swarm, with validation on real flight data.