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Reposted One Month AgoSaved
In-Office
Dallas, TX, USA
78K-118K Annually
Senior level
78K-118K Annually
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Own and optimize materials planning processes, analyze usage vs. plan, generate procurement signals, partner with engineering and procurement, implement MRP/ERP system improvements, and drive supply chain performance and continuous process improvements.
Top Skills: ErpExcelMrp
Reposted One Month AgoSaved
In-Office
Seattle, WA, USA
209K-314K Annually
Expert/Leader
209K-314K Annually
Expert/Leader
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Define and operationalize company-wide engineering design standards for aerospace programs (VBAT, XBAT). Standardize CAD, drawing quality, design/analysis workflows, documentation, EBOM/MBOM handoffs, and configuration management. Partner with engineering leaders to scale engineering excellence, influence cross-discipline design decisions, and improve consistency without blocking execution.
Top Skills: Asme Y14.5 (Gd&T)CadConfiguration ManagementDo-160EbomEngineering DocumentationMbomMil-Std-810
Reposted One Month AgoSaved
In-Office or Remote
3 Locations
120K-180K Annually
Senior level
120K-180K Annually
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Integrate, characterize, calibrate, and validate multi-modal navigation sensors (IMUs, GNSS, cameras, altimeters). Develop test plans, calibration scripts, and data-processing tools; collaborate across electrical, mechanical, and software teams; support schematics, CAD, drivers, and lab-based sensor testing through production.
Top Skills: AltimeterCadCamera SensorsCanData Acquisition SystemsEmbedded SystemsGnssI2CImuMatlabPythonReal-Time SoftwareSpiUart
Reposted One Month AgoSaved
In-Office
2 Locations
275K-350K Annually
Senior level
275K-350K Annually
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Develop and implement real-time sensor processing and multi-sensor state estimation algorithms (IMU, radar, cameras, GPS). Design pipelines, run field tests, integrate with cross-functional teams, and optimize for production on compute-constrained systems.
Top Skills: C++11CamerasComputer VisionCudaFpgaGpsImuInertial NavigationKalman FiltersLinuxParticle FiltersRadarReal-Time Systems
Reposted One Month AgoSaved
In-Office
2 Locations
150K-290K Annually
Senior level
150K-290K Annually
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Design and implement high-quality C/C++ embedded avionics software for X-Bat UAVs. Lead cross-functional teams, own features from design to production, integrate firmware and autonomy systems, and develop HIL/virtualized test environments. Produce architecture and test documentation, build CI/test tools, prototype concepts, and ensure reliability, safety, and compliance for aerospace deployments.
Top Skills: BspCC++Continuous IntegrationDo-178CFirmwareFpgaGround Control Station (Gcs)Hardware-In-The-Loop (Hil)Network ProtocolsRtosSystemverilog
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Reposted One Month AgoSaved
In-Office or Remote
4 Locations
209K-314K Annually
Expert/Leader
209K-314K Annually
Expert/Leader
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead architecture, development, and validation of end-to-end aircraft fuel systems. Drive cross-functional integration, system-level modeling (CFD), verification, supplier qualification, ground and flight test support, anomaly root-cause analysis, and mentor engineering teams while contributing to long-term fuel-system technology roadmaps.
Top Skills: Ansys FluentCatiaCfdHybrid-ElectricMatlab/SimulinkOpenfoamSiemens NxSolidworks
Reposted One Month AgoSaved
In-Office
Washington, DC, USA
110K-170K Annually
Senior level
110K-170K Annually
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead simulation-driven testing and automation for autonomy software: develop automated regression/integration/system tests, build and maintain simulation-based test frameworks and tools (SIL/HIL/VIL), diagnose issues with developers, scale simulation infrastructure, create test plans, and integrate test coverage into CI/CD pipelines using Python.
Top Skills: Autonomy/RoboticsC++Ci/CdDistributed TestingHardware-In-The-Loop (Hil)Machine LearningPythonSimulation InfrastructureSmall UasSoftware-In-The-Loop (Sil)Vehicle-In-The-Loop (Vil)
Reposted One Month AgoSaved
In-Office
Seattle, WA, USA
138K-200K Annually
Senior level
138K-200K Annually
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead mechanical design and spatial integration of secondary support structures and subsystem installations for aerospace vehicles. Develop CAD models, installation drawings, routing solutions (EWIS, hydraulic, ECS, fuel, pneumatic), perform fitment and tolerance analyses, define installation strategies, support procurement/fabrication and prototype builds, and coordinate across manufacturing, structures, avionics, systems, and test teams through design reviews and BOM management.
Top Skills: Bom ExportsCadCatiaClash DetectionDigital Mock-Up (Dmu)EcsEwisFuel SystemsGd&THydraulic SystemsPlmPneumatic SystemsSiemens Nx
Reposted One Month AgoSaved
In-Office
Seattle, WA, USA
220K-330K Annually
Senior level
220K-330K Annually
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead and grow the mechanical engineering team for avionics in X-BAT aircraft and ground vehicles. Own architecture, thermal, harnessing, and electro-mechanical design from concept through manufacturing, partnering with electrical, RF, PCB, reliability, supply chain, structures, and manufacturing teams to deliver flight-critical systems.
Top Skills: Avionics PackagingCadCatiaFeaNxPcb DesignSolidworksThermal Analysis
Reposted One Month AgoSaved
In-Office
San Diego, CA, USA
233K-350K Annually
Expert/Leader
233K-350K Annually
Expert/Leader
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead design and operation of a centralized AI and data platform for autonomy: define compute strategy, build distributed training and simulation systems, manage multi-modal datasets and MLOps, enable model evaluation, optimization, and deployment to constrained edge and customer environments, and drive platform standardization and broad adoption across programs.
Top Skills: Air-GappedArtifact ProvenanceCloudData CatalogData LineageDataset VersioningDistributed TrainingEdge DeploymentEoEwFeature StoreFoundation ModelsGpu ClustersHigh-Speed NetworkingHpcHybridImuIrMarlMlopsModel DistillationModel RegistryMulti-Fidelity SimulationOn-PremiseParallel StoragePruningQuantizationRadarRlSchedulersScifSimulation
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