{"schemaVersion":"jobsearcher.job.v1","id":"71d058c0ae7d0c86127b06d4","url":"https://jobsearcher.com/jobs/71d058c0ae7d0c86127b06d4","canonicalUrl":"https://jobsearcher.com/jobs/71d058c0ae7d0c86127b06d4","title":"Senior Perception Engineer","description":"Senior Engineer – Perception, Fusion & TrackingSalary: Up to $275,000 + Equity + Full BenefitsLocation: Remote (US) - ITAR compliantThe MissionSimulators lie. Clean sensor streams don't exist in the wild.Our client builds multi-domain autonomous platforms operating in unscripted, high-stakes environments. They need a senior builder to own the algorithmic core that turns noisy, asynchronous edge sensors on robotic vehicles into real-time, swarm-wide situational awareness.We aren't looking for purely theoretical researchers - we need a systems-minded engineer who can design, train, and deploy target tracking, deep learning, and multi-sensor fusion models directly onto resource-constrained autonomous hardware operating at the edge.What You’ll DoTarget Recognition & Tracking: Train, tune, and test automatic target recognition (ATR) and track management systems using modern neural network architectures.Onboard Sensor Fusion: Develop multi-sensor fusion and state estimation algorithms (Kalman filters, particle filters, multi-target tracking) optimized for resource-constrained autonomous vehicles.Swarm Intelligence: Design distributed fusion approaches that combine individual vehicle tracks across the swarm into a single, coherent operational picture.Edge Optimization & Real-Time Inference: Quantize, optimize, and execute deep learning models and state estimators for real-time inference on edge compute (e.g., NVIDIA Jetson).Field Validation & Rigor: Rigorously characterize algorithm performance against real-world flight data and simulation, writing clean, maintainable, high-performance code.Basic QualificationsEducation & Depth: MS or PhD in Computer Science, Electrical Engineering, Applied Math, Robotics, or equivalent depth of applied real-world experience.Estimation & Tracking Expertise: Demonstrated expertise in estimation theory and multi-target tracking (Kalman/particle filters, JPDA, MHT, random finite sets, or similar).Applied Deep Learning: Hands-on experience training, evaluating, and deploying neural networks for real-time object detection or classification.Systems Programming: Strong programming skills in C++, Rust, Go, and/or Python.Research to Deployment: Proven track record of taking complex algorithms from initial concept/research all the way to deployment on physical robotic or autonomous systems.Preferred QualificationsEdge ML Deployment: Experience deploying ML models to embedded or edge hardware utilizing TensorRT, ONNX Runtime, and quantization techniques.Aerial & Multi-Domain Sensing: Experience processing EO/IR, radar, or RF sensor streams on aerial or autonomous platforms.Distributed Systems: Publications or fielded work in ATR, multi-sensor fusion, or distributed estimation across multi-agent networks.Domain Awareness: Familiarity with defense sensing, autonomous aerospace, or high-stakes tracking problem domains.The PackageBase Salary: Up to $275,000 + competitive Equity options.Benefits: Top-tier Health, Dental, and Vision coverage + 401(k) matching.Time Off: Unlimited PTO policy.Workplace & Travel: Remote-first flexibility, with up to 25% travel for high-stakes onsite test, hardware integration, and field flight events.If this job description resonates and you'd like to know more, hit apply or drop me a message for a catchup!","company":"Code Red Partners","rawCompany":"code red partners","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-08-14T13:56:14.866Z","occupations":[{"code":"17-2199.08","title":"Robotics Engineers","slug":"robotics-engineers"},{"code":"17-2199.00","title":"Engineers, All Other","slug":"engineers-all-other"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541330","title":"Engineering Services","slug":"engineering-services"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"334511","title":"Search, Detection, Navigation, Guidance, Aeronautical, and Nautical System and Instrument Manufacturing","slug":"search-detection-navigation-guidance-aeronautical-and-nautical-system-and-instrument-manufacturing"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Perception Engineer","description":"Senior Engineer – Perception, Fusion & TrackingSalary: Up to $275,000 + Equity + Full BenefitsLocation: Remote (US) - ITAR compliantThe MissionSimulators lie. Clean sensor streams don't exist in the wild.Our client builds multi-domain autonomous platforms operating in unscripted, high-stakes environments. They need a senior builder to own the algorithmic core that turns noisy, asynchronous edge sensors on robotic vehicles into real-time, swarm-wide situational awareness.We aren't looking for purely theoretical researchers - we need a systems-minded engineer who can design, train, and deploy target tracking, deep learning, and multi-sensor fusion models directly onto resource-constrained autonomous hardware operating at the edge.What You’ll DoTarget Recognition & Tracking: Train, tune, and test automatic target recognition (ATR) and track management systems using modern neural network architectures.Onboard Sensor Fusion: Develop multi-sensor fusion and state estimation algorithms (Kalman filters, particle filters, multi-target tracking) optimized for resource-constrained autonomous vehicles.Swarm Intelligence: Design distributed fusion approaches that combine individual vehicle tracks across the swarm into a single, coherent operational picture.Edge Optimization & Real-Time Inference: Quantize, optimize, and execute deep learning models and state estimators for real-time inference on edge compute (e.g., NVIDIA Jetson).Field Validation & Rigor: Rigorously characterize algorithm performance against real-world flight data and simulation, writing clean, maintainable, high-performance code.Basic QualificationsEducation & Depth: MS or PhD in Computer Science, Electrical Engineering, Applied Math, Robotics, or equivalent depth of applied real-world experience.Estimation & Tracking Expertise: Demonstrated expertise in estimation theory and multi-target tracking (Kalman/particle filters, JPDA, MHT, random finite sets, or similar).Applied Deep Learning: Hands-on experience training, evaluating, and deploying neural networks for real-time object detection or classification.Systems Programming: Strong programming skills in C++, Rust, Go, and/or Python.Research to Deployment: Proven track record of taking complex algorithms from initial concept/research all the way to deployment on physical robotic or autonomous systems.Preferred QualificationsEdge ML Deployment: Experience deploying ML models to embedded or edge hardware utilizing TensorRT, ONNX Runtime, and quantization techniques.Aerial & Multi-Domain Sensing: Experience processing EO/IR, radar, or RF sensor streams on aerial or autonomous platforms.Distributed Systems: Publications or fielded work in ATR, multi-sensor fusion, or distributed estimation across multi-agent networks.Domain Awareness: Familiarity with defense sensing, autonomous aerospace, or high-stakes tracking problem domains.The PackageBase Salary: Up to $275,000 + competitive Equity options.Benefits: Top-tier Health, Dental, and Vision coverage + 401(k) matching.Time Off: Unlimited PTO policy.Workplace & Travel: Remote-first flexibility, with up to 25% travel for high-stakes onsite test, hardware integration, and field flight events.If this job description resonates and you'd like to know more, hit apply or drop me a message for a catchup!","datePosted":"2026-08-14T13:56:14.866Z","dateModified":"2026-08-14T13:56:14.866Z","hiringOrganization":{"@type":"Organization","name":"Code Red Partners","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"71d058c0ae7d0c86127b06d4"},"url":"https://jobsearcher.com/jobs/71d058c0ae7d0c86127b06d4"}}