Lyntris is a defense technology company that connects sensing to action across the connected battlespace. Lyntris brings together the talents of Accelint and Vitesse teams under one mission, with each contributing deep expertise within their domain. Combining differentiated hardware, software and mission expertise, Lyntris helps customers sense threats, make sense of complex conditions and act with greater speed, precision and confidence in contested environments.
Lyntris supports U.S. and allied defense organizations across every branch - including Navy, Army, Air Force, Space Force and allied partners - spanning strategic, operational and tactical missions and every domain: Space, Air, Land, Sea and Cyber. With more than 200 active defense programs, Lyntris works at every level of the mission, from national command authority to the tactical edge.
Solutions are designed by operators who understand the mission, engineered for the conditions that degrade or defeat standard systems, and built on an open, modular architecture that integrates into existing programs without requiring them to start over. Lyntris moves faster than the traditional defense cycle - with integrated design, build and test capabilities in-house - and delivers systems that sustain and endure long after initial fielding.
Job Description
- Mission Software Engineer
- Full Time
- Onsite / Hybrid / Remote
We are seeking an Embedded Software Engineer with Python experience to build and integrate concept capabilities for Uncrewed Surface Vessel (USV) autonomy and mission software platform. This role sits at the intersection of operational user interfaces, Python-based integration services, simulation-driven demonstrations, and vessel-adjacent software systems.
You will help integrate and develop capabilities around the MV-20 sensor and mission software stack, connecting data from vessel systems, payloads, and sensors into useful operator-facing workflows. This includes building software to ingest, translate, visualize, and exercise sensor data such as GPS/IMU, AIS, radar tracks or detections, health/status information, other platform telemetry, and various other sensors/systems.
The ideal candidate is comfortable working across the full concept-integration path: writing Python adapters and tooling, connecting to real-time data streams, supporting simulation and replay, developing Svelte/SvelteKit interfaces, and troubleshooting multi-service deployments. This is not a traditional web application role. It is a hands-on embedded/software integration role focused on bringing sensors, autonomy concepts, and operator-facing capabilities together on a USV platform quickly, credibly, and in a maintainable manner.
Duties & Responsibilities
USV Concept Delivery (Integration-Focused)
- Deliver integrated concept demonstrations for USV workflows such as mission planning, integrating sensors, route execution monitoring, geofencing, vehicle status/health, and operator oversight.
- Connect UI experiences to simulation/backends so demos reflect realistic vessel behaviors (telemetry cadence, state transitions, fault conditions, and mission events).
Backend & Tooling (Python)
- Develop Python utilities and lightweight services to support concepts (adapters, data shaping, simulation hooks, replay tools, CLI utilities).
- Implement or integrate real-time interfaces (REST/WebSockets/streaming, pub/sub) to support high-rate telemetry and event-driven updates.
Orchestration & Distributed Systems
- Work across containerized and orchestrated deployments: Docker, Docker Compose, Kubernetes.
- Integrate with and troubleshoot distributed messaging architectures common in autonomy stacks (e.g., Redis, DDS, pub/sub, streaming pipelines).
- Diagnose cross-service issues: networking, service discovery, QoS/config mismatches, environment variables, build/run drift, and runtime logs.
Quality & Maintainability
- Add pragmatic test coverage (unit tests for core logic; smoke/e2e tests for mission flows) to keep concepts demo-ready.
- Produce clear runbooks for "push-button" demos: environment setup, data sources, simulation configuration, and troubleshooting.
- Performs other duties as assigned.
Required Qualifications
- BS in Computer Science/Engineering (or equivalent professional experience).
- 3+ years working experience with Python for services, tooling, or automation scripts.
- Familiarity with autonomy/robotics concepts (mission states, control modes, fail-safes, safety constraints).
- Exposure to maritime/USV data sources (GPS/IMU, AIS, radar integration concepts, NMEA/NMEA2000).
- Experience supporting simulation-driven integration and replay (recorded logs, deterministic playback, scenario config).
- Experience with telemetry and messaging systems (Redis pub/sub, DDS, MQTT, Kafka, etc.).
- Experience integrating systems using APIs and real-time patterns (REST, WebSockets, streaming, pub/sub).
- Currently holds an active U.S. national security clearance or be able to receive and maintain one.
Clearance Requirements
Some positions will require access to U.S. National Security information. Positions that require this access will be required to receive and maintain a U.S. government personnel security clearance (PCL). In order to qualify for this position, the candidate must be a US Citizen and either currently possess this National Security eligibility or be able to complete the investigation application process with a favorable determination and maintain that eligibility throughout their employment.
Work Environment / Location
This position offers flexible work arrangements, including fully on-site, hybrid, or remote with frequent travel options. For on-site/hybrid options the location is Panama City, FL. Remote candidates must be willing to travel frequently (monthly or quarterly) to Panama City, FL. All candidates must be willing to travel (quarterly) to various remote test locations.
The position involves collaboration with cross-functional teams and hands-on work supporting orchestrated software stacks for USV concepts, sensors, integration, and demos.
Pay Scales & Benefits
The listed pay scale reflects the broad, minimum to maximum, pay scale for this position for the location for which it has been posted and is not a guarantee of compensation or salary. Other compensation considerations may include, but are not limited to, job responsibilities, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, or other applicable factors.
Benefits include...
Paid Time Off
Paid Company Holidays
Medical, Dental & Vision Insurance
Optional HSA and FSA
Base and Voluntary Life Insurance
Short Term & Long-Term Disability Insurance
401k Matching
Employee Assistance Program
The pay range for this role:
100,940 - 147,000 USD per year
The pay range for this role is:
100,940 - 147,000 USD per year (Remote (United States))
