Perception and Fusion Engineer

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 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

• Meaningful equity in a high-growth defense technology company

• Competitive base salary commensurate with experience

• 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 security mission

• A world-class team of engineers and operators solving genuinely hard problems