Support the Joint Simulation Environment (JSE) by performing authorized data transfers and maintaining secure, reliable data movement across classified information systems.
Locations (2)
Patuxent River, Maryland, United States
Lexington Park, Maryland, United States
Compensation
The projected compensation range for this position is $55,000 to $65,000 (annualized USD).
Responsibilities
Perform authorized data transfers between information systems and security domains in accordance with approved procedures and applicable security requirements.
Review, inspect, scan, and sanitize removable media, including USB devices, CDs/DVDs, and external storage devices, using approved tools and procedures to protect classified and sensitive systems.
Verify that data transfers are completed accurately, securely, and within required timelines.
Maintain audit logs, transfer records, chain-of-custody documentation, and reporting metrics to ensure accountability and traceability.
Follow detailed work instructions and established handling procedures for sensitive, controlled, and classified information.
Requirements
High school diploma or a qualifying substitute accepted under the applicable contract requirements.
Provide direct nursing care in the Neuro Medical Telemetry Unit as a New Grad RN Resident, participating in a one-year accredited residency program and learning advanced skills in IVs, NGTs, cardiac drips and stroke care.
Responsibilities
Participate in a residency core curriculum based on individual learning needs.
Provide direct nursing care alongside a success coach.
Establish and/or revise priorities for patient care.
Initiate and/or maintain interventions to assure continuity of safe/effective care for patients.
Respond to data indicating risk to patients’ health and initiate action to correct, reduce or prevent risk.
Requirements
Diploma in Nursing
Associate Degree in Nursing (ADN)
Bachelor of Science in Nursing (BSN)
Nice to have: Bachelor of Science in Nursing (BSN)
Lead and mentor a team of simulation framework engineers responsible for building, extending, and maintaining the modeling and simulation (M&S) interface layers between core autonomy and various simulation backends. Drive the strategic simulation roadmap for Hivemind Solutions.
Compensation
Pay within range listed + Bonus + Benefits + Equity
Responsibilities
Lead, mentor, and grow a team of specialized C++ and Python simulation engineers.
Set technical direction, conduct performance reviews, and foster high engineering rigor.
Collaborate directly with HMP engineering and product leadership to drive HMS program requirements into the Hivemind Simulation Framework (HMSF).
Architect and lay out the phased migration roadmap from HMSSimBlocks to HMSF.
Oversee the design and maintenance of baseline simulation adapters, plugins, and interfaces for NGTS, AFSIM, Aechelon, HMSSimBlocks, and HMSF.
Lead the development, integration, and operationalisation of simulation capabilities that enable Hivemind Mission Autonomy programs in Australia. Architect, implement, and maintain high-performance, real-time and faster-than-real-time simulation environments.
Responsibilities
Lead the architecture, design, and evolution of distributed, real-time simulation systems across virtual, constructive, and live environments.
Architect and implement high-performance C++ software for modelling, simulation, integration workflows, and system interoperability.
Develop and optimise real-time and distributed simulation software supporting multi-agent scenarios, high-fidelity environments, and system-of-systems simulations.
Integrate defence simulation frameworks such as AFSIM or NGTS to accelerate delivery and ensure alignment with defence customer expectations.
Design and deliver containerised simulation deployments using technologies such as Docker and Kubernetes.
Requirements
Tertiary qualification in Computer Science, Software Engineering, Mechatronics, or a related field
Lead integration of autonomy software onto unmanned aircraft systems, ensuring seamless operation across onboard compute, sensors, and control interfaces.
Compensation
Pay within range listed + Bonus + Benefits + Equity
Responsibilities
Integrate autonomy software onto unmanned aircraft systems
Own the build, configuration, and validation process for flight-ready systems
Travel to test sites and support live flight operations
Diagnose and resolve integration issues across complex autonomy software stacks and embedded systems
Manage data collection during missions and post-test analysis
Requirements
BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or equivalent practical experience
Pay within range listed + Bonus + Benefits + Equity
Responsibilities
Design tactical autonomy algorithms to enable unmanned aircraft to perform complex missions across air, land, and sea domains with minimal human supervision.
Develop high-performance software modules that incorporate planning, decision-making, and behavior execution strategies for dynamic and adversarial environments.
Implement and test behavior architectures that enable multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios.
Blend rule-based systems with learning-based methods such as reinforcement learning to achieve robust, adaptive behavior.
Collaborate with cross-functional teams including perception, planning, simulation, hardware, and flight test to ensure seamless integration of autonomy solutions on real-world platforms.
Lead the delivery of autonomous behaviors into Shield AI’s products as a technical lead or senior individual contributor.
Responsibilities
Develop tactical autonomy software to enable unmanned platforms to perform complex missions across air, land, sea, and space domains with minimal human supervision.
Implement and test behaviors that enable multi‑agent coordination, target engagement, reconnaissance, and survivability in contested scenarios.
Work throughout the entire software development lifecycle, from requirements capture through design, implementation, verification, and validation.
Champion a product‑line mindset in technology road‑mapping and enable reuse of behaviors across multiple projects and portfolios.
Architect behaviors as scalable software subsystems that may interact directly or indirectly with a breadth of system components.
Requirements
BS/MS/PhD in Computer Science, Aerospace Engineering, Electrical Engineering, Robotics, Mechanical Engineering, or a related field.
Build and own autonomy behaviors that directly power our products, taking responsibility for key components from design through deployment.
Compensation
Pay within range listed + Bonus + Benefits + Equity
Responsibilities
Develop high-performance software modules that are well-tested, have clear interfaces and span-of-control, and are ready for mid-to-high Technology Readiness Level insertions
Collaborate with cross-functional teams including perception, planning, simulation, hardware, and flight test to ensure seamless integration of autonomy solutions on real-world platforms
Deploy autonomy capabilities to real space vehicles, supporting analysis of mission logs to verify software performance and validate system operational effect
Contribute to autonomy roadmaps by researching and prototyping new algorithms, identifying tactical capability gaps, and proposing novel solutions that advance Shield AI’s mission
Junior Data Transfer AgentNewMAG Aerospace · Patuxent River, US+1 more
HMS Simulation Framework Lead (R6397)f7d8749a-72d6-407c-bf98-292ea630c73a · Washington, US