Noda

Machine Learning Engineer

• Own the complete lifecycle of machine learning models for autonomous vehicle orchestration
• Build infrastructure, pipelines, and monitoring systems to deploy, validate, and continuously improve AI agents and reasoning systems
• Design and implement automated training pipelines for LLMs, agent frameworks, and reasoning models
• Build model versioning, experiment tracking, and artifact management systems
• Develop automated model validation and testing frameworks, including simulation-based evaluation of agent behaviors
• Implement A/B testing infrastructure for comparing AI reasoning strategies
• Create model monitoring and observability systems to track performance, drift, and reliability
• Optimize model deployment for edge computing (quantization, pruning, inference acceleration)
• Build automated retraining pipelines using operational feedback from field deployments
• Implement model governance and compliance frameworks, including audit trails and safety validation
• Design feature stores and data pipelines preparing operational sensor and mission data
• Support rollback and canary deployment strategies for safe model updates
• Ensure secure model deployment practices, including model encryption, access controls, and adversarial robustness validation

MLOps Engineer

Frontend Engineer

• Design and implement WebGL-based 3D visualizations for real-time autonomous vehicle coordination and mission planning interfaces
• Build high-performance data visualization systems using Deck.gl to render millions of sensor data points, telemetry streams, and geospatial information
• Create gaming-inspired UI interactions including RTS-style vehicle selection, minimap systems, context-sensitive controls, and real-time asset tracking displays
• Optimize rendering performance for browser-based applications handling continuous streams of sensor data, video feeds, and telemetry from autonomous vehicle fleets
• Implement WebAssembly modules for performance-critical calculations and real-time data processing in gaming-style interfaces
• Develop interactive 2D/3D mapping systems with real-time overlays for mission planning, route visualization, and operational area displays
• Build responsive, touch-capable interfaces that function across desktop and tablet form factors for field deployment scenarios
• Create data visualization pipelines that transform raw autonomous system telemetry into actionable operator insights and mission-critical displays
• Implement custom WebGL shaders for specialized military sensor data visualization and real-time geographic information display
• Collaborate with backend engineers to optimize data streaming protocols and minimize latency for real-time command and control operations
• Ensure interface performance and reliability through comprehensive testing frameworks and automated performance monitoring

UI Engineer

Executive Assistant

• Provide high-level support to our executive team, ensuring their time and priorities are effectively managed
• Manage complex calendars, schedule meetings, and coordinate travel for executives
• Prepare and edit correspondence, communications, presentations, and other documents
• Act as a liaison between executives, team members, and external partners
• Support board meetings, investor updates, and other high-profile engagements
• Handle confidential information with discretion and professionalism
• Anticipate the needs of executives to ensure smooth daily operations
• Serve as the primary point of contact for office operations and facilities
• Oversee office inventory, ordering supplies and ensuring availability of resources
• Coordinate and book domestic and international travel, including flights, hotels, ground transportation, and itineraries for executives
• Process and reconcile select employee travel reimbursements in compliance with company policy
• Assist with special projects, events, and team initiatives as needed

Operations

• Support field deployments of autonomous orchestration systems through hands-on technical work and operational coordination.
• Perform system assembly, integration, and troubleshooting while supervising field technicians and managing deployment logistics.
• Serve as primary point of contact for customers regarding field logistics and administrative coordination.
• Capture customer feedback to support continuous improvement of deployment processes.
• Travel up to 50% including evenings/weekends during mission-critical events and demonstrations.
• Engage with customers onsite providing technical guidance and representing NODA professionally.
• Assist in planning logistics for travel shipping and equipment readiness.
• Build wire and test UAS/robotic platforms payloads and support equipment.
• Track repair and maintain lab equipment spare parts and test assets.
• Lead setup teardown and technical troubleshooting at multi-domain field exercises.
• Conduct inspections to ensure accuracy durability and repeatability of assemblies.
• Maintain a safe organized and well-documented lab and field environment.
• Draft and maintain event-specific documentation assembly procedures deployment logs checklists and after-action reports (AARs).
• Oversee junior field staff during operations and ensure smooth team coordination.

Field Operations Associate

Application Engineer

• Conduct integration testing across RF/digital hardware, firmware, embedded software, and mission applications
• Develop, maintain, and enforce test standards. Design/build or procure test equipment to ensure readiness
• Automate test workflows where possible to expand coverage and accelerate validation cycles
• Provide technical support during field operations, collaborating directly with partners and customers
• Maintain detailed logs, readiness checklists, and lessons learned to drive continuous improvement
• Analyze and resolve failures observed during integration, characterization, and system-level testing
• Assemble, configure, and troubleshoot unmanned systems across air, land, and maritime domains
• Support and execute test events, flight trials, and live demonstrations
• Maintain lab facilities, test rigs, and equipment readiness for engineering teams
• Collaborate across hardware, software, and autonomy teams to ensure smooth mission execution

Field Application Engineer

Product Manager

• Define and execute product strategy and roadmap for autonomous orchestration solutions
• Work directly with defense, intelligence, and commercial customers to understand requirements and translate them into actionable product features
• Collaborate closely with engineering teams to prioritize development efforts and ensure timely delivery of high-quality products
• Lead cross-functional teams through the entire product development lifecycle, from concept to customer deployment
• Conduct market research and competitive analysis to identify opportunities and inform product positioning
• Develop go-to-market strategies and support business development efforts with technical product expertise
• Manage product launches and coordinate with customers on successful deployment and integration
• Gather and analyze user feedback to continuously improve product offerings and customer experience

AI Engineer

• NODA is a veteran-owned, venture-backed company building distributed orchestration for unmanned systems across air, sea, land, and space.
• Agentic AI Engineer to design and implement intelligent agents for adaptive mission planning and multi-domain orchestration.
• Translate mission intent into actionable tasks with dynamic replanning and transparent reasoning for operators.
• Integrate LLM orchestration frameworks (e.g., LangChain, ReAct-style planners) into NODA’s orchestration stack.
• Develop reasoning frameworks for task decomposition, scheduling, and allocation in collaboration with autonomy teams.
• Implement human-in-the-loop workflows for operator trust and explainability.
• Manage full lifecycle of AI agents (models, prompts, tools, memory) with safe deployment and rollback.
• Pipeline sensor and mission data into structured AI-ingestible formats.
• Validate agent behaviors through simulation-in-loop and hardware-in-loop testing prior to live deployment.
• Build and maintain evaluation, monitoring, and logging systems to track performance, cost, and reliability.
• Integrate external tools/APIs with version control and dependency management.
• Design CI/CD, canary/blue-green deploys, and feature-flag release pipelines for safe production iteration.
• Contribute to secure and resilient agent execution in denied, degraded, and contested communications environments.

Agentic AI Engineer

• NODA is a veteran-owned, venture-backed technology company building distributed orchestration for autonomous unmanned systems across air, sea, land, and space.
• Design and implement the autonomy stack that powers adaptive multi-vehicle orchestration, focusing on mission planning, path generation, behavior execution, and task allocation.
• Work at the intersection of AI reasoning frameworks, ROS2-based autonomy stacks, and distributed multi-agent systems to ensure reliable real-world execution.
• Implement and validate navigation, control, and autonomy behaviors for UAVs, USVs, and UUVs using ROS2 and simulation environments.
• Profile and optimize autonomy performance for edge compute hardware (Jetson, Raspberry Pi-class devices) and conduct simulation-in-loop and hardware-in-loop testing.
• Contribute to safety, reliability, and compliance practices for defense-relevant missions and collaborate across AI, networking, and systems engineering teams.

Autonomy AI Engineer

Blockchain Engineer

• NODA is a veteran-owned, venture-backed technology company transforming how unmanned systems collaborate in complex, mission-critical environments
• Networking and distributed systems form the backbone of resilient autonomy; engineers ensure swarms remain connected, adaptive, and mission-ready in degraded or denied environments
• Design and optimize the communication stack that keeps fleets of unmanned systems coordinated in real time
• Develop mesh networking protocols, integrate tactical radios, and validate system performance in constrained, intermittent, and adversarial environments
• Collaborate with AI and autonomy teams to enable bandwidth-aware orchestration and tasking
• Build observability into the networking stack (telemetry, packet tracing, latency metrics) and ensure networking reliability for distributed, real-time autonomous operations