Description review
Perception and Fusion Engineer
Swarmaero · Remote · back to the listing
HR standards
60/100
needs work
Title ↔ description
79/100
solid
Reads as
Machine Learning Engineer
84% confident
What this role officially is
data scientist — ESCO, the EU occupation classification
Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.
Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist
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What the listing never says
- 26 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
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
Compensation: $180K – $260K • Offers Equity
• • $180K – $260K • Offers Equity
Find Jobs in Germany on Arbeitnow
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
Compensation: $180K – $260K • Offers Equity
• • $180K – $260K • Offers Equity
Find Jobs in Germany on Arbeitnow