Perception and Fusion Engineer

United States Digital Space LLC

United States

Remote

USD 180,000 - 260,000

Full time

2 days ago

Be an early applicant

Application generator

Don’t send a generic resume — generate a resume and cover letter tailored to this exact role.

Get past ATS filters

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, 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 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.

Preferred Qualifications

Publications or deployed work in ATR, multi-sensor fusion, or distributed estimation.

Experience with EO/IR, radar, or RF sensor processing on aerial platforms.

Experience deploying ML models to embedded or edge hardware (TensorRT, ONNX, quantization).

Familiarity with defense sensing and tracking problem domains.

ITAR requirement

To conform to U.S. Government export regulations, applicant must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.

Swarm Aero is an equal opportunity employer. We value diverse backgrounds and experiences and make employment decisions without regard to race, religion, national origin, gender, sexual orientation, age, veteran status, or disability.

What We Offer