Quartermaster AI

Technical Program Manager

• Direct customer-facing technical programs, managing the post-sales journey and driving operational excellence for all accounts.
• Partner with global supply chain and engineering teams to plan and execute compliance activities across deployments.
• Collaborate with Field Operations for technical support and troubleshooting, ensuring technical readiness and operational resilience.
• Liaise with Mission Success Program Managers to lead and document technical discussions, ensuring consistent progress and alignment with customer needs.
• Work with Product and Engineering teammates on roadmap development and customer-driven requirements, balancing short-term delivery with long-term vision.
• Support sales calls as the technical subject matter expert, articulating product capabilities and integration requirements to prospective clients.
• Build and sustain executive relationships with strategic accounts, delivering impactful technical briefings, reviews, and growth planning sessions.
• Recruit, develop, lead, and scale high-performing multidisciplinary teams (analytics, field ops, supply chain, engineering, global support) to achieve mission success for every customer.
• Design account-level strategies that maximize client retention, product adoption, and expansion opportunities.
• Institute best-in-class technical processes for deployment, engineering compliance, and customer feedback to drive perpetual operational and product improvement.

Onboarding Specialist

• Partner with recruiters and hiring managers to schedule interviews (phone, virtual, and onsite) across multiple time zones using Ashby.
• Manage all candidate logistics and communications directly within Ashby, ensuring smooth transitions through each pipeline stage.
• Post, update, and close job listings through Ashby’s job posting integrations.
• Coordinate feedback collection, ensuring timely responses and stage progression.
• Support the offer process within Ashby, preparing offer letters, updating candidate records, and tracking approvals.
• Maintain data integrity and compliance within the ATS.
• Generate and maintain recruiting metrics (e.g., time-to-fill, offer acceptance rates, stage conversion) through Ashby reporting dashboards.
• Identify and implement improvements to scheduling, templates, and automated notifications within Ashby.

HR Onboarding Specialist

Analyst

• Proactively create geographic area-specific reports detailing recent events, detections, noteworthy artifacts, etc. based on SmartMast data.
• Provide an assessment on whether/how these events relate to recent customer topics of interest in that AOR; tailor assessments to customer interest areas as appropriate.
• In response to maritime events, research and analyze AOR-specific events and provide reports on SmartMast data in furtherance of current or future customer engagement.
• Assist with the Growth team’s engagement with new clients by arming the team with products/deliverables that are relevant to customer interest areas.
• Craft and contribute to long and short form products that will demonstrate SmartMast effectiveness in order to bring on new clients and/or support current client contract growth.
• In support of Field Operations, provide research and analysis to identify new fleets or vessels that may be candidates to host SmartMast capabilities.
• Research these vessels’ patterns of life, identify vessels/captains that frequent the AORs in which we have interest, and effectively communicate these results to the field operations team.

Mid-level Analyst

Electrical Engineer

• Design and document electrical system architecture for next-generation edge compute modules, including power regulation, sensor I/O, and interconnects
• Create schematics and multi-layer board layouts using industry-standard EDA tools, optimized for thermal, EMI, and mechanical constraints
• Oversee PCB fabrication and assembly partners, including BOM management, DFM checks, and prototype validation
• Integrate and interface with peripherals including cameras, GPUs, SDRs, GNSS/GPS, IMUs, PoE, radar, and environmental sensors
• Design power systems including battery integration, surge protection, and redundant regulation paths for safety-critical systems
• Perform electrical bring-up, validation, and debugging across prototypes and production runs using oscilloscopes, logic analyzers, and lab instrumentation
• Contribute to design-for-reliability across shock, vibration, IP rating, lightning protection, and thermal conditions
• Support enclosure and harness design in collaboration with mechanical engineering to ensure robust physical and electrical integration
• Maintain documentation of schematics, test procedures, manufacturing processes, and hardware change logs
• Collaborate with the software and AI teams to validate hardware performance under real workloads and field conditions

Electrical Engineering Architect

• Identify and classify naval, commercial, and irregular maritime vessels globally.
• Analyze our in house-sourced imagery
• Develop intelligence reports and assessments for defense, government, and private sector clients.
• Monitor maritime threats, including illicit trafficking, naval deployments, and gray-zone activities.
• Collaborate with intelligence analysts, engineers, and operational teams to enhance maritime domain awareness capabilities of our products.
• Maintain up-to-date knowledge of global naval forces, shipbuilding trends, and emerging maritime threats.

Maritime Naval Analyst – Ship Identification Specialist

Engineer

• Lead the design, training, and deployment of computer vision and perception models for tasks such as vessel detection, classification, and tracking.
• Architect and optimize inference pipelines for real-time performance on edge devices, including GPU-accelerated and mixed-precision inference.
• Implement and refine algorithms for scene understanding, object segmentation, and environmental awareness using both image and sensor fusion data.
• Collaborate with hardware and software teams to ensure model compatibility with embedded systems and available compute resources.
• Develop techniques for edge-case detection, dataset curation, and self-healing model behavior in dynamic, non-ideal environments.
• Apply active learning, domain adaptation, and synthetic data strategies to improve model robustness and generalization.
• Work closely with RF and sensor teams to integrate complementary signal data into multimodal classification and detection pipelines.
• Own model evaluation processes and benchmarking across hardware platforms and field conditions.
• Maintain best practices for model versioning, traceability, and validation in safety-critical applications.

Machine Perception Engineer – Vision

Robotics

• Develop, test, and integrate modular software packages, ensuring seamless communication across different system modules.
• Design, develop, and maintain middleware solutions, focusing on frameworks like ROS2.
• Work with embedded development boards and create drivers and interfaces for various sensors (e.g., GPS, IMUs, cameras, radar), ensuring smooth integration with the system.
• Design and develop infrastructure to serve machine learning models in cloud environments.
• Setting up software in the production system and tracking production systems' status.

Junior Robotics Engineer

Operations

• Build and manage a team of field operations specialists located globally, ensuring consistent execution of program objectives and operational excellence.
• Develop regional deployment strategies, aligning local engagement and technical operations with broader organizational goals.
• Provide coaching, mentoring, and performance management to ensure high-functioning, mission-driven field teams.
• Oversee relationship-building initiatives with vessel owners, captains, maritime communities, NGOs, and government stakeholders to support deployment of AI robotics camera systems.
• Represent the organization in high-level meetings with global, national, and local maritime authorities to gain stakeholder buy-in and secure long-term collaboration.
• Ensure all field teams maintain culturally sensitive, trust-based relationships in their respective regions.
• Manage the planning and execution of field deployments, including logistics, installation oversight, timeline adherence, and risk mitigation.
• Track project milestones and report regularly to senior leadership on progress, issues, and improvements.
• Oversee field-based equipment installation and servicing operations, ensuring all technical support is delivered efficiently and in coordination with US-based engineering teams.
• Works closely with the logistics team to ensure the right locations are properly outfitted.
• Create and manage escalation protocols for equipment servicing, diagnostics, and repair coordination.
• Implement structured data collection and feedback loops from field operations to inform product and process improvements.
• Collaborate with internal engineering team in product development, marketing, and analytics to ensure field insights are incorporated into strategic planning.
• Evaluate deployment outcomes, monitor technical performance, and drive continuous improvement based on operational data.

Global Field Operations Lead – Maritime Technology Deployment

Software Engineer

• Coordinate calendars, schedule internal and external meetings, and manage logistics across time zones and departments
• Assist with onboarding for new hires, preparing documentation, organizing workspace setups, and facilitating first-week logistics
• Support travel planning, expense tracking, and itineraries for staff, and deployment teams
• Help manage equipment tracking, supply ordering, and communication with vendors
• Occasionally coordinate shipping and receiving of hardware prototypes, documents, and field kits
• Own end-to-end interview scheduling for multiple roles, including candidate communications, panel coordination, and follow-ups
• Jump in on special projects and evolving startup needs as they arise—whether it’s launching a new workspace, assisting with deployments, or organizing team offsites

Engineering Team Administrator

Program Manager

• Serve as the trusted voice of the customer.
• Develop and run onboarding, training, adoption, and renewal programs.
• Capture, prioritize, and communicate portal and API feedback.
• Apply deep knowledge of DoW program offices and their mission requirements.
• Partner with Field Operations, Product, and Engineering teams.
• Track and report on mission success indicators.
• Lead adoption of new tools and processes internally.

Mission Success Program Manager – TS/SCI

Systems Engineer

• Develop and maintain system software responsible for sensor control, data capture, and stream management across a variety of hardware types
• Extend our inter-process messaging frameworks using ROS2
• Optimize network utilization and compression strategies to ensure artifact delivery over constrained uplinks (e.g. satellite)
• Integrate and synchronize inputs from GPS, IMU, radar, lidar, acoustic, and other sensors to provide structured outputs for downstream perception and tracking
• Build and maintain software modules for managing and configuring peripherals including SDRs, cameras, and other edge devices
• Collaborate with AI and backend teams to define data formats, delivery schedules, and observability hooks for remote model and sensor performance
• Develop tools for local testing, diagnostics, and system-level monitoring of Smartmast units in the field
• Contribute to performance tuning, process reliability, and logging systems to support unattended long-duration operation

Robotics Systems Engineer

Frontend Engineer

• Create beautiful, easy-to-use, atomic components. Make them adaptable for internationalization to allow the app to scale as the number of features and languages the app supports grows.
• End-to-end ownership: feature delivery, performance, reliability, and release operations for both apps.
• Offline-first architecture: model data for local-first UX (SQLite/Room or similar), implement sync, conflict resolution, and schema migrations.
• Streaming & media: implement and optimize live video ingest/playback, jitter buffers, reconnection, Adaptive Bitrate Streaming (ABR), and Quality of Service (QoS) telemetry.
• Kotlin native modules: design and maintain native modules with Kotlin when necessary.
• Harsh-network engineering: handle satellite/maritime and field conditions such as high latency, packet loss, power/thermal constraints, and others.
• Security by design: SRTP key management, TLS/DTLS, cert pinning, Android Keystore, and privacy-preserving telemetry.
• Tooling & quality: tests (unit/integration), CI/CD, profiling, etc.

Mobile Developer – React Native

Machine Learning Engineer

• Design, train, and evaluate models for tasks ranging from object detection and classification to anomaly detection and sensor-based inference
• Optimize model architectures and inference pipelines for performance on embedded/edge hardware under compute and bandwidth constraints
• Contribute to dataset development and labeling strategy, including data augmentation, synthetic data generation, and domain adaptation
• Support prototyping and experimentation across a variety of AI subfields, including computer vision, signal processing, and multi-modal fusion
• Implement real-time pipelines for processing sensor data on-device and in cloud environments
• Develop tools and scripts for benchmarking, data visualization, and debugging ML model performance
• Stay current with the latest research and tools in machine learning and evaluate their applicability to our product roadmap
• Participate in code reviews, team knowledge sharing, and internal technical documentation

Applied ML Engineer

Full-stack Engineer

• Develop, maintain, and improve our web portal and mobile applications.
• Work with software team on unit testing and QA process
• Design and implement scalable backend systems using Node.js, AWS IoT, Kinesis, S3, and related technologies.
• Build and optimize frontend interfaces using React Native, Kotlin, and TypeScript.
• Develop integrations between web, mobile, backend, and occasionally hardware systems.
• Implement and support video streaming solutions using SRT/RTSP technologies.
• Debug, troubleshoot, and resolve issues across the stack to ensure high performance and reliability.
• Stay current with industry trends and best practices in web and mobile application development.
• Write and maintain clear and concise technical documentation.

Senior Software Engineer, Full Stack

• Configure, deploy, and maintain Linux-based edge systems for remote sensor and compute platforms
• Work with Mikrotik (RouterOS), OpenWRT, or similar routers to build secure, reliable WAN/LAN connectivity for field-deployed units
• Implement and enforce security best practices, including VPN configurations, firewall rules, SSH hardening, and OS-level lockdown
• Debug network, system, and hardware issues across embedded systems, wireless modules, and field-deployed compute nodes
• Create and maintain scripts and tooling for remote updates, health monitoring, and automated provisioning
• Collaborate with hardware and software engineers to integrate connectivity solutions with onboard services and cloud APIs
• Participate in design reviews to ensure system-level reliability, security, and serviceability
• Maintain documentation for network topologies, device configurations, and secure deployment processes
• Test, validate, and stress field hardware in the lab to simulate real-world deployment scenarios

Senior Networked Systems Engineer

QA Engineer

• Design, build, and maintain automated and manual test suites for React-based UI, Node.js/Express APIs, MongoDB data operations, real-time data streams, AWS cloud deployments and microservices.
• Own end-to-end quality pipelines for streaming features, including performance benchmarking, packet loss validation, and reconnection/recovery scenarios.
• Develop and execute high-fidelity integration, regression, and load tests using tools like Playwright, Cypress, Postman, or K6.
• Automate testing of authentication, JWT tokens, role-based access, and edge-case behaviors (rate-limiting, timeouts, latency spikes).
• Drive cross-browser and cross-device QA strategies including accessibility (WCAG), responsiveness, and UX testing.
• Build mocks, stubs, and simulators for hardware-integrated endpoints and real-time systems.
• Work closely with developers, DevOps, and product managers to establish test coverage metrics, acceptance criteria, and release readiness gates.
• Continuously improve QA practices, tools, and infrastructure—introducing innovations that improve speed, coverage, and reliability.
• Validate API correctness, including authentication (JWT), role-based access controls, and rate-limiting behavior.
• Ensure frontend consistency across supported browsers and screen sizes, testing for usability and accessibility.
• Collaborate with developers to build QA coverage for real-time features (e.g. Socket.IO notifications and live updates).

Software QA Fullstack

• Research, design, and implement advanced machine learning models that combine vision, RF, and acoustic signals for detection, classification, and tracking tasks
• Architect sensor fusion pipelines that support robust, redundant, and context-aware perception in dynamic environments
• Collaborate closely with domain experts and systems engineers to translate raw sensor data into actionable model inputs
• Design and oversee data pipelines for multi-modal learning, including data alignment, augmentation, and pre-processing across modalities
• Optimize models and inference workflows for low-latency execution on embedded and edge compute platforms
• Lead performance analysis across individual and fused modalities, and drive strategies for improving robustness and generalization
• Prototype and operationalize novel research in sensor fusion, uncertainty modeling, and representation learning
• Contribute to long-term architectural decisions around multi-modal AI infrastructure, tooling, and evaluation frameworks
• Document model design, training methodology, and validation processes with rigor and clarity.

AI Systems Engineer – Multi Modal

• Define, document, and manage system-level requirements, performance targets, and integration interfaces across hardware and software domains
• Develop integration and test plans to validate full system behavior, including sensor coordination, power-up sequences, thermal behavior, and fault recovery
• Coordinate mechanical, electrical, and software subsystems to ensure robust operation across a wide range of field conditions
• Oversee system-level design reviews, integration milestones, and pre-deployment checks to ensure readiness for lab and field testing
• Support environmental and functional testing including shock, vibration, ingress protection (IP), and thermal cycling
• Investigate root causes of field issues through structured debugging, test replication, and collaboration with domain experts
• Maintain system architecture documentation, test protocols, and integration logs to support traceability and reproducibility
• Work closely with the reliability/test team to design experiments and verify durability across long-duration deployments
• Contribute to tools and fixtures for system-level diagnostics, calibration, and on-site servicing

Backend Engineer

• Design, develop, and maintain scalable and efficient backend systems using Node.js, Express, and MongoDB.
• Develop and manage RESTful APIs with Swagger documentation to provide secure and reliable data access for web and mobile applications.
• Implement and maintain MongoDB database systems, ensuring data integrity, performance, and security.
• Work with AWS services (primarily Kinesis Video Streams and S3) to manage video streaming, storage, and retrieval.
• Ensure API security by implementing JWT authentication, role-based authorization, and rate limiting measures.
• Implement real-time communication features using Socket.IO for notifications and live updates.
• Provide application support and troubleshoot backend issues to ensure high availability and performance.
• Collaborate with front-end engineers (React) and product managers to define API requirements and data structures.
• Monitor and optimize backend performance, identifying and resolving bottlenecks in API and database operations.
• Write and maintain clear technical documentation for backend systems and APIs using Swagger.

Backend Software Engineer

• Serve as the primary technical point of contact for customers, supporting them through onboarding, integration, and successful usage of our platform.
• Design, build, and maintain custom API integrations between our platform and customer systems, external APIs, or third-party services.
• Translate non-technical customer requirements into structured technical tasks, collaborating closely with internal engineering teams to ensure feasibility and clarity.
• Develop scripts, tools, and lightweight services that help automate deployment, data transformation, or reporting needs for enterprise clients.
• Act as a liaison between customer stakeholders and internal teams—surfacing product feedback, clarifying use cases, and helping prioritize roadmap features.
• Write and maintain clear internal and external technical documentation, including integration guides, API walkthroughs, and support FAQs.
• Support troubleshooting and debugging across API integrations and customer implementations, escalating as necessary to backend, frontend, or DevOps teams.
• Contribute to a growing library of reusable solution templates and sample code for common use cases.
• Deliver training sessions, demos, or workshops for customers and partners to help them understand and extend the capabilities of our system.
• Foster relationships with key technical stakeholders across our partner and client ecosystem.

Mission Success Engineer

Mechanical Engineer

• Own and advance Quartermaster’s Smartmast CAD design.
• Manage mechanical design and integration of new components and systems.
• Collaborate with the field operations team to refine shipboard installation techniques and provide hands-on training where needed.
• Identify and resolve design challenges related to harsh marine environments.
• Develop new sensing systems for marine vessels to enhance customer value and product differentiation.