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Perception & Fusion Engineer

Swarm Aero

RemoteRemoteFull-time$180–260K/yrPosted 1mo agoVerified open 6 days ago

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At a glance

Compensation
$180–260K/yr
Location
RemoteRemote
Schedule
Full-time
Work Authorization
Not specified

Requirements

Credentials this posting asks for.

Doctorate

Job overview

Swarm Aero is hiring a Perception & Fusion Engineer. Swarm Aero seeks a Perception & Sensor Fusion Engineer to develop algorithms that give its large drone swarm an accurate shared picture of the battlespace. The deep‑algorithm role focuses on detection, tracking, estimation and real‑time deployment on resource‑constrained vehicles, with up to 25% travel for test events.

Key focus areas include Train, tune, and test automatic target recognition and track management systems using the latest neural networks, Develop multi‑sensor fusion and state estimation algorithms such as Kalman and particle filters for onboard vehicles, and Design distributed fusion approaches that combine tracks across the swarm into a coherent picture.

Successful candidates bring MS Or PhD In Robotics, Computer Science, Electrical Engineering, Applied Math, Or Related Field, Equivalent Depth Of Applied Experience, and Track Record Of Taking Algorithms From Research To Deployment. Important skills include Train Neural Networks, Tune Neural Networks, Test Neural Networks, Automatic Target Recognition, Track Management Systems, and Develop Multi-Sensor Fusion Algorithms. Preferred (not required): EO/IR Sensor Processing, Radar Sensor Processing, RF Sensor Processing, and Deploy ML Models To Embedded Hardware.

Skills & qualifications

RequiredNice to have

Skills

Train Neural NetworksTune Neural NetworksTest Neural NetworksAutomatic Target RecognitionTrack Management SystemsDevelop Multi-Sensor Fusion AlgorithmsDevelop State Estimation AlgorithmsKalman FiltersParticle FiltersMulti-Target TrackingDesign Distributed Fusion ApproachesCharacterize Algorithm PerformanceOptimize Models for Real-Time InferenceC++RustGoPythonEstimation TheoryJPDAMHTRandom Finite SetsDeep LearningNeural Networks for DetectionNeural Networks for ClassificationEO/IR Sensor ProcessingRadar Sensor ProcessingRF Sensor ProcessingDeploy ML Models to Embedded HardwareTensorRTONNXQuantizationDefense SensingDefense Tracking

Qualifications

MS or PhD in Robotics, Computer Science, Electrical Engineering, Applied Math, or Related FieldEquivalent Depth of Applied ExperienceTrack Record of Taking Algorithms From Research to DeploymentTravel Up to 25%Publications in ATR, Multi-Sensor Fusion, or Distributed Estimation

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
Paid Time Off
Parental Leave
401(k) Match

Full 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.

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

You've read the whole posting — now see how you match it.