Chief Engineer, Autonomy — Space Domain

Serve as the senior technical authority for space-domain autonomy, accountable for mission architecture, software/system design, technical execution, product quality, technical risk, verification evidence, and customer technical confidence.

Define and evolve an autonomy architecture that supports end-to-end tasking, collection, processing, exploitation, and dissemination across a heterogeneous space enterprise, including satellites, hosted payloads, ground systems, mission applications, communications networks, cloud/edge compute, and external data sources.

Lead the development of automatic and autonomous behaviors for multi-constellation and/or multi-orbit tasking, including prioritization, scheduling, replanning, resource allocation, coordination, conflict resolution, and response to dynamic mission demands.

Define technical approaches for autonomously selecting, cueing, configuring, and coordinating collection from all relevant payload classes, as applicable to mission needs, including but not limited to: electro-optical/infrared, AIS, SAR, RF, SIGINT, communications, environmental, navigation, or third-party/partner payload sources.

Architect and govern hybrid on-board and off-board processing strategies. Establish decision criteria for where inference, data reduction, fusion, storage, prioritization, and dissemination functions execute, accounting for latency, bandwidth, compute, power, thermal constraints, availability, security, mission priority, and degraded communications.

Lead the technical design of advanced exploitation capabilities, including automated triage, sensor fusion, event detection, object/activity characterization, change detection, anomaly detection, provenance, confidence estimation, and analyst-in-the-loop workflows.

Own the technical approach for dissemination of mission products: data-format and interface standards, prioritization, routing, timeliness, quality metadata, access control, product traceability, downstream machine-to-machine integration, and human-user delivery.

Establish coherent autonomy interfaces among spacecraft buses, payloads, avionics, flight software, communications systems, mission planning systems, ground control, cloud/edge infrastructure, data platforms, and customer mission applications.

Drive technical rigor across system requirements, CONOPS, architecture descriptions, interface-control documents, trade studies, test plans, verification matrices, technical performance measures, and technical baselines.

Lead autonomy technical readiness for major milestones, including concept and requirements reviews, preliminary and critical design reviews, test-readiness reviews, operational demonstrations, launch-readiness activities where applicable, commissioning, on-orbit operational assessments, and customer acceptance events.

Define and execute a verification and validation strategy that combines modeling and simulation, digital engineering, software-in-the-loop, hardware-in-the-loop, payload/ground integration, mission rehearsal, operational test, and—in applicable programs—on-orbit validation.

Identify, quantify, and retire autonomy-specific technical risks, including failure or degradation of sensors and payloads; crosslink or ground-link interruption; incomplete, delayed, conflicting, or deceptive data; resource exhaustion; model uncertainty; interface failures; cyber compromise; and unsafe or unexplainable automated action.

Partner with product, program, mission operations, security, safety/mission assurance, payload, spacecraft, ground, cloud, and data-engineering leaders to balance mission performance, technical risk, cost, schedule, and customer commitments.

Serve as a senior technical counterpart for government customers, mission partners, suppliers, and internal executives. Support capture, proposal technical volumes, demonstrations, mission architecture discussions, technical reviews, and customer acceptance.

Build and mentor a high-performing technical organization that may include staff engineers, autonomy developers, mission planners, data/ML engineers, test engineers, and domain experts.