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NODA AINODA AIAustin, TX

Forward Deployed Engineer

Leads software integrations and deployments of autonomous orchestration platform with customer systems, building adapters for vehicles, sensors, and C2 tools. Requires 3+ years experience in Python/C++, Linux, networking, and customer-facing technical work with up to 50% travel.

Salary not listed
Hybrid3+ YOESolutions Architecture

About the role

Key Responsibilities

Software Integration & Deployment

  • Build adapters and translation layers that connect our orchestration platform to diverse autonomous vehicle control protocols and APIs (MAVLink, custom vehicle APIs, etc.)
  • Develop interfaces for new sensors and payloads, integrating their data streams into our world model
  • Create integrations with third-party C2 systems (ATAK, TAK Server, etc.) and other software platforms in the autonomy stack
  • Map high-level orchestration tasks to platform-specific behaviors and commands for each vehicle type
  • Transform and integrate environmental data from various sources into our common data representation
  • Deploy and configure ML models in operational environments
  • Design and implement custom network configurations for multi-domain connectivity, handling degraded/intermittent links, secure networks (VPNs, firewalls), and air-ground-sea communication scenarios

Customer & Partner Technical Leadership

  • Serve as technical liaison between customers/partners and internal engineering teams
  • Lead on-site integration efforts at partner facilities (vehicle manufacturers, sensor providers, component suppliers)
  • Conduct technical demonstrations and training sessions for customers and operators
  • Translate operational requirements and field feedback into actionable product improvements
  • Support pre-sales technical discussions and scoping for customer engagements
  • Validate partner platforms and third-party integrations in operational settings

Platform Contributions

  • Build shared libraries and reusable integration components that accelerate future deployments
  • Develop deployment tooling and automation for software delivery in secure, constrained environments
  • Extend our behavior library with new capabilities based on platform-specific features
  • Contribute bug fixes and improvements affecting customer deployments
  • Document integration patterns and best practices
  • Funnel product requirements from field learnings back to core engineering and product teams

Field Operations Support

  • Execute system validation, troubleshooting, and performance optimization in real-world environments
  • Provide technical support during live demonstrations and operational deployments
  • Collect and analyze system performance data, integration issues, and failure modes
  • Develop deployment documentation and troubleshooting guides
  • Debug integration issues discovered during field testing

Required Qualifications

  • 3+ years of software engineering experience building integrations, APIs, or distributed systems
  • Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, Robotics, or related field (or equivalent hands-on experience)
  • Strong proficiency in Python and/or C++ for building integrations, adapters, and automation
  • Experience with networked systems and protocols (TCP/IP, UDP, multicast, routing, subnetting)
  • Advanced Linux proficiency (command line, scripting, debugging, remote system administration)
  • Experience integrating with external APIs, protocols, or hardware systems
  • Proven ability to understand complex technical systems and build translation/adapter layers
  • Strong debugging and troubleshooting skills across software boundaries
  • Professional communication skills for engaging customers, partners, and engineering teams
  • Comfortable with 50% travel to customer sites, partner facilities, test ranges, and remote locations

Preferred Qualifications

  • Experience with autonomous systems, robotics, or unmanned vehicles (UAS, UGV, USV, UUV)
  • Hands-on experience with vehicle control protocols (MAVLink, ROS/ROS2, custom vehicle APIs)
  • DevSecOps experience deploying software in secure, constrained, or classified environments
  • Experience with tactical communications systems and C2 software (ATAK, TAK Server, Link 16, etc.)
  • Knowledge of ML model deployment and inference optimization
  • Background in RF communications, link budgets, or connectivity troubleshooting
  • Experience with embedded systems, microcontrollers, or firmware interfaces
  • Familiarity with sensor integration (cameras, LIDAR, radar, EO/IR, RF)
  • Prior forward deployed, field engineering, or customer-facing technical role experience
  • Experience with DoD environments, military test protocols, ITAR compliance, or cybersecurity requirements
  • Existing security clearance

Skills

PythonC++LinuxTCP/IPUdpMavlinkROSRos2AtakTak ServerDevSecOpsKubernetesDockerMl ModelsLidar
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