{"schemaVersion":"jobsearcher.job.v1","id":"4b09f1c77fcf167ca03fcbf8","url":"https://jobsearcher.com/jobs/4b09f1c77fcf167ca03fcbf8","canonicalUrl":"https://jobsearcher.com/jobs/4b09f1c77fcf167ca03fcbf8","title":"GNC Engineer, Tracking Level 2","description":"We are a stealth-mode Aerospace & Defense startup headquartered in Gardena, CA. Our founding team hails from SpaceX, Anduril, and Lockheed Martin, and we are backed by Joint Staff-level military leadership and top-tier Silicon Valley firms. Our mission is urgent: to develop and deploy life‑saving missile defense systems that can be fielded globally, today. We are assembling a high‑agency team committed to moving fast, solving hard problems, and defending what matters most.\n\nAbout the Role\nWe are looking for a software engineer focused on real‑time tracking, state estimation, and multi‑sensor fusion for embedded autonomous systems. This role sits at the intersection of guidance/navigation, computer vision, and real‑time software engineering.\n\nYou will develop robust target tracking and estimation pipelines that operate under challenging real‑world conditions including noisy measurements, intermittent detections, high dynamics, latency, dropped frames, and constrained compute environments. The ideal candidate has strong fundamentals in estimation theory and probabilistic systems, while also understanding the realities of interfacing with modern computer vision stacks running on embedded GPU platforms.\n\nResponsibilities\n\nDesign and implement real‑time tracking and state estimation algorithms for airborne and autonomous systems\n\nDevelop and maintain multi‑target tracking pipelines using camera, IMU, and additional sensor inputs\n\nImplement filtering and sensor fusion algorithms including:\n\nExtended Kalman Filters (EKF)\n\nUnscented Kalman Filters (UKF)\n\nParticle Filters\n\nIMM / Multiple‑Model Estimators\n\nSmoothing and probabilistic estimation methods\n\nBuild robust track management systems including:\n\nTrack initiation and deletion\n\nMeasurement gating\n\nData association\n\nCovariance management\n\nOcclusion handling\n\nTrack confidence scoring\n\nInterface tracking systems with modern computer vision pipelines and detectors\n\nIntegrate asynchronous measurements from heterogeneous sensors with differing latencies and update rates\n\nOptimize algorithms for embedded compute platforms including NVIDIA Jetson‑class hardware\n\nDevelop low‑latency real‑time software in C++ for deployment in operational environments\n\nWork closely with guidance, autonomy, perception, and controls engineers\n\nBuild simulation and replay environments for estimator validation and performance analysis\n\nAnalyze estimator stability, observability, and numerical robustness under degraded conditions\n\nRequired Qualifications\n\nBS/MS in Computer Science, Aerospace Engineering, Electrical Engineering, Robotics, Applied Mathematics, Physics, or related field\n\nStrong experience with state estimation, tracking, or sensor fusion systems\n\nStrong C++ software engineering experience\n\nExperience implementing real‑time systems on Linux\n\nSolid understanding of:\n\nLinear algebra\n\nProbability and statistics\n\nCoordinate frames and transformations\n\nKinematics and dynamics\n\nNumerical methods\n\nExperience with one or more of the following:\n\nMulti‑object tracking\n\nVisual‑inertial estimation\n\nSLAM\n\nRadar tracking\n\nEO/IR tracking systems\n\nGuidance and navigation systems\n\nFamiliarity with computer vision pipelines and detector outputs\n\nExperience consuming outputs from CV frameworks such as:\n\nTensorRT\n\nDeepStream\n\nOpenCV\n\nPyTorch/TensorRT inference pipelines\n\nExperience debugging noisy real‑world sensor systems\n\nPreferred Qualifications\n\nExperience with embedded GPU platforms (Jetson Xavier, Orin, CUDA)\n\nFamiliarity with EO/IR sensor systems\n\nExperience with asynchronous sensor timing and synchronization\n\nExperience building high‑rate telemetry or distributed real‑time systems\n\nUnderstanding of:\n\nBayesian filtering\n\nMulti‑hypothesis tracking\n\nJPDA/MHT approaches\n\nOptical flow\n\nVisual odometry\n\nFamiliarity with ROS2, GStreamer, or DeepStream pipelines\n\nExperience with hardware interfaces such as:\n\nCAN\n\nUART/RS232\n\nEthernet UDP/TCP\n\nMIPI CSI‑2\n\nExperience with simulation environments and hardware‑in‑the‑loop testing\n\nPrior aerospace, defense, or autonomous systems experience\n\nWhat You’ll Work On\n\nReal‑time target tracking systems operating on embedded edge hardware\n\nHigh‑rate fusion of EO/IR detections with inertial navigation systems\n\nLow‑latency estimator pipelines for autonomous guidance applications\n\nRobust tracking systems resilient to clutter, dropped detections, and degraded sensing environments\n\nTight integration between perception, estimation, and control subsystems\n\nIdeal Candidate\nYou are someone who enjoys bridging theory and deployment reality. You understand that good tracking performance comes not only from elegant filtering equations, but also from robust software architecture, timing discipline, sensor characterization, and operational awareness.\n\nYou are comfortable debugging systems where detector confidence, latency, dropped packets, motion blur, and estimator divergence all interact simultaneously — and you know how to build systems that remain stable and performant anyway.\n\nCompensation & Benefits\n\nCompetitive salary and equity package\n\nHigh ownership and technical autonomy\n\nOpportunity to work on advanced autonomous systems\n\nAccess to cutting‑edge embedded compute and sensing hardware\n\nFast‑paced engineering environment with direct mission impact\n\nITAR Requirements\n\nTo conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. 1157, or (iv) Asylee under 8 U.S.C. 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.\n\n#J-18808-Ljbffr","company":"Singularity Defense","rawCompany":"singularity defense","city":"Placentia","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-06-17T03:44:07.975Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"17-2072.00","title":"Electronics Engineers, Except Computer","slug":"electronics-engineers-except-computer"}],"industries":[{"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"},{"code":"336414","title":"Guided Missile and Space Vehicle Manufacturing","slug":"guided-missile-and-space-vehicle-manufacturing"},{"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"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"GNC Engineer, Tracking Level 2","description":"We are a stealth-mode Aerospace & Defense startup headquartered in Gardena, CA. Our founding team hails from SpaceX, Anduril, and Lockheed Martin, and we are backed by Joint Staff-level military leadership and top-tier Silicon Valley firms. Our mission is urgent: to develop and deploy life‑saving missile defense systems that can be fielded globally, today. We are assembling a high‑agency team committed to moving fast, solving hard problems, and defending what matters most.\n\nAbout the Role\nWe are looking for a software engineer focused on real‑time tracking, state estimation, and multi‑sensor fusion for embedded autonomous systems. This role sits at the intersection of guidance/navigation, computer vision, and real‑time software engineering.\n\nYou will develop robust target tracking and estimation pipelines that operate under challenging real‑world conditions including noisy measurements, intermittent detections, high dynamics, latency, dropped frames, and constrained compute environments. The ideal candidate has strong fundamentals in estimation theory and probabilistic systems, while also understanding the realities of interfacing with modern computer vision stacks running on embedded GPU platforms.\n\nResponsibilities\n\nDesign and implement real‑time tracking and state estimation algorithms for airborne and autonomous systems\n\nDevelop and maintain multi‑target tracking pipelines using camera, IMU, and additional sensor inputs\n\nImplement filtering and sensor fusion algorithms including:\n\nExtended Kalman Filters (EKF)\n\nUnscented Kalman Filters (UKF)\n\nParticle Filters\n\nIMM / Multiple‑Model Estimators\n\nSmoothing and probabilistic estimation methods\n\nBuild robust track management systems including:\n\nTrack initiation and deletion\n\nMeasurement gating\n\nData association\n\nCovariance management\n\nOcclusion handling\n\nTrack confidence scoring\n\nInterface tracking systems with modern computer vision pipelines and detectors\n\nIntegrate asynchronous measurements from heterogeneous sensors with differing latencies and update rates\n\nOptimize algorithms for embedded compute platforms including NVIDIA Jetson‑class hardware\n\nDevelop low‑latency real‑time software in C++ for deployment in operational environments\n\nWork closely with guidance, autonomy, perception, and controls engineers\n\nBuild simulation and replay environments for estimator validation and performance analysis\n\nAnalyze estimator stability, observability, and numerical robustness under degraded conditions\n\nRequired Qualifications\n\nBS/MS in Computer Science, Aerospace Engineering, Electrical Engineering, Robotics, Applied Mathematics, Physics, or related field\n\nStrong experience with state estimation, tracking, or sensor fusion systems\n\nStrong C++ software engineering experience\n\nExperience implementing real‑time systems on Linux\n\nSolid understanding of:\n\nLinear algebra\n\nProbability and statistics\n\nCoordinate frames and transformations\n\nKinematics and dynamics\n\nNumerical methods\n\nExperience with one or more of the following:\n\nMulti‑object tracking\n\nVisual‑inertial estimation\n\nSLAM\n\nRadar tracking\n\nEO/IR tracking systems\n\nGuidance and navigation systems\n\nFamiliarity with computer vision pipelines and detector outputs\n\nExperience consuming outputs from CV frameworks such as:\n\nTensorRT\n\nDeepStream\n\nOpenCV\n\nPyTorch/TensorRT inference pipelines\n\nExperience debugging noisy real‑world sensor systems\n\nPreferred Qualifications\n\nExperience with embedded GPU platforms (Jetson Xavier, Orin, CUDA)\n\nFamiliarity with EO/IR sensor systems\n\nExperience with asynchronous sensor timing and synchronization\n\nExperience building high‑rate telemetry or distributed real‑time systems\n\nUnderstanding of:\n\nBayesian filtering\n\nMulti‑hypothesis tracking\n\nJPDA/MHT approaches\n\nOptical flow\n\nVisual odometry\n\nFamiliarity with ROS2, GStreamer, or DeepStream pipelines\n\nExperience with hardware interfaces such as:\n\nCAN\n\nUART/RS232\n\nEthernet UDP/TCP\n\nMIPI CSI‑2\n\nExperience with simulation environments and hardware‑in‑the‑loop testing\n\nPrior aerospace, defense, or autonomous systems experience\n\nWhat You’ll Work On\n\nReal‑time target tracking systems operating on embedded edge hardware\n\nHigh‑rate fusion of EO/IR detections with inertial navigation systems\n\nLow‑latency estimator pipelines for autonomous guidance applications\n\nRobust tracking systems resilient to clutter, dropped detections, and degraded sensing environments\n\nTight integration between perception, estimation, and control subsystems\n\nIdeal Candidate\nYou are someone who enjoys bridging theory and deployment reality. You understand that good tracking performance comes not only from elegant filtering equations, but also from robust software architecture, timing discipline, sensor characterization, and operational awareness.\n\nYou are comfortable debugging systems where detector confidence, latency, dropped packets, motion blur, and estimator divergence all interact simultaneously — and you know how to build systems that remain stable and performant anyway.\n\nCompensation & Benefits\n\nCompetitive salary and equity package\n\nHigh ownership and technical autonomy\n\nOpportunity to work on advanced autonomous systems\n\nAccess to cutting‑edge embedded compute and sensing hardware\n\nFast‑paced engineering environment with direct mission impact\n\nITAR Requirements\n\nTo conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. 1157, or (iv) Asylee under 8 U.S.C. 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.\n\n#J-18808-Ljbffr","datePosted":"2026-06-17T03:44:07.975Z","dateModified":"2026-06-17T03:44:07.975Z","hiringOrganization":{"@type":"Organization","name":"Singularity Defense","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Placentia","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4b09f1c77fcf167ca03fcbf8"},"url":"https://jobsearcher.com/jobs/4b09f1c77fcf167ca03fcbf8"}}