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NODA AI

AI-driven platform to orchestrate autonomous systems

Forward-Deployed Solution Engineer - International

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeQatarIn-person

About the Job

Requirements

  • At least 5 years of full-stack engineering experience, including significant customer-facing or forward-deployed work.
  • Strong proficiency in Python, C++, or Rust and advanced Linux fluency.
  • Networking depth in TCP/IP, UDP, multicast, and routing, plus field debugging across multiple system layers.
  • Demonstrated deployment experience in Department of War, military, or comparable operational environments.
  • U.S. citizenship and ability to obtain a security clearance.
  • Systems thinking across compute, network, vehicle behavior, and ConOps.
  • Ability to diagnose in degraded conditions during live exercises.
  • Disciplined documentation practices.
  • Ability to hold technical authority with customers without overstating or underselling.
  • Ability to work independently in ambiguous situations.

Responsibilities

  • Lead URZA deployments end-to-end at customer sites in Department of War and military operating environments.
  • Configure URZA for each customer's mission and ConOps.
  • Integrate URZA with third-party C2 systems, sensors, software APIs, and external data sources, including weather, reconnaissance, and intelligence feeds.
  • Run customer technical reviews and operator training, and coordinate engagements with Mission Leads.
  • Build reusable engagement scaffolding, including runbooks, ConOps templates, and integration playbooks.
  • Mentor mid-level Solution Engineers.
  • For the Senior Solution Engineer level, own URZA deployment for a single engagement, lead on-site execution, partner with a more senior engineer on architecture decisions, operate independently within an engagement, and escalate cross-engagement trade-offs.
  • For the Solution Architect level, own URZA deployment architecture across multiple concurrent engagements, define reusable integration patterns and ConOps templates, hold customer technical authority where an architect is expected, and influence the URZA roadmap and integration layer through field learning.

Desired Qualifications

  • Hands-on experience with autonomous systems or unmanned vehicles, including UAS, UGV, USV, or UUV.
  • Experience with tactical C2 systems such as TAK, Cursor-on-Target, or Link 16, or pub-sub middleware such as Zenoh or DDS.
  • Experience integrating sensors, third-party APIs, or external data feeds such as weather, reconnaissance, or intelligence.
  • Prior experience at a defense, autonomy, or robotics company, or exposure to classified, ITAR, or CMMC environments.
  • Active security clearance.

About the Company

NODA AI

AI-driven platform to orchestrate autonomous systems

Noda Intelligence develops a Master Orchestrator platform that coordinates autonomous systems across land, air, sea, and cyber domains for defense operators. It unifies hardware, sensors, and data streams into a single command interface using edge computing and machine learning to enable swarming and automated mission planning. Its hardware-agnostic approach and software-defined interoperability let it plug into legacy infrastructure and devices from multiple manufacturers, without vendor lock-in. The goal is to be the connective tissue of the modern battlefield, turning raw sensor data into actionable intelligence and coordinated autonomous actions for government and military partners.

Company size
51-200
Company stage
Series A
Total funding
$28M
Headquarters
Austin, TX
Founded
2024

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