Early Career - Guidance, Navigation & Control; GNC Engineer

Askari is building a new class of autonomous kinetics for the age of robotic warfare. We engineer high-performance capabilities for national security operators in the world’s most demanding environments, purpose-built to kinetically counter unmanned aerial and robotic threats (C-UAS/C-UxS).

We design for real-world constraints, rapid iteration, and immediate deployment, prioritizing fielded capability rather than research demos or shelfware.

Askari moves at a different speed. Our team is composed of engineers who spearheaded programs at organizations including Skydio, Sandia National Laboratories, Hermeus, Area-I/Anduril, Raytheon, GTRI, and Near Earth Autonomy. We work directly with elite end-users to translate battlefield requirements into deployable systems. Backed by top-tier investors and partners across defense and aerospace, Askari is a small, execution-driven team focused on delivering real capability, fast.

• Direct Mentorship: You will work directly under senior GNC engineers who have pioneered industry-leading flight stacks. This is a high-tempo apprenticeship designed for rapid technical maturation.
• End-to-End Ownership: You own large portions of our autonomous systems from concept through fielding. There is no hand-off; you help design it, build it, fly it, and deploy it.
• National Impact: Our work produces immediate, real-world impact for national security, delivering direct capability to operators in the field.
• Exponential Growth: You’ll stretch across technical domains, take on hard problems, and grow faster than you would in a traditional engineering org.
• Elite Talent Density: You will build alongside a small, highly focused team of top engineers and operators in the industry.

This role is designed for early-career engineers,
including new graduates and interns
, with an interest in Guidance, Navigation, and Control (GNC) and hands-on system development. Under the guidance of our senior engineering team, you will move from first-principles physics and theoretical modeling to real-time software implementation and rigorous flight analysis.

We are looking for truth seekers: engineers who prioritize physical reality over opinion and have the technical conviction to defend their designs with data. Under the direction of experienced GNC leads, you will derive theoretical guidance laws
, implement advanced filtering to robustify vehicle state estimation in contested environments, and fine-tune low-level controllers on hardware
.

This role is designed for early-career engineers who want exposure to a multidisciplinary autonomy stack. You will contribute to the design and implementation of software spanning first-principles analysis through low-level embedded execution, supporting the development of high-performance autonomous navigation systems. With mentorship from senior engineers, you will help bridge the sim-to-real gap using SITL/HITL testing and our bespoke, in-house simulation platform
, gaining hands-on experience with real flight systems.

• Guidance & Path Planning: Implement advanced guidance laws and trajectory optimization for high-speed interceptors operating across highly nonlinear, high-dynamic flight regimes
  .
• Navigation & State Estimation: Support development of target tracking and GPS-contested navigation
  , using multimodal sensor fusion (KF-variants, real-time filters, factor graphs, etc.) to ensure robust performance in dynamic environments.
• Active Controls & Aerodynamics: Assist in the design of high-performance active control systems (LQR, MPC, etc.) for highly maneuverable, aerodynamically unstable vehicles.

• Simulation & Validation: Digital-twin replication and high-fidelity physics modeling.
• Flight Regimes: High-speed multirotor and rocket systems;
  nonlinear dynamics and transition maneuvers.
• Control & Aerodynamics: Advanced control architectures, including LQR, Model Predictive Control (MPC), etc.
• Estimation: EKF, UKF, VIO, and high-G target tracking.
• Frameworks & Stack: ROS/ROS2 and other custom, lightweight middleware
  ; C/C++ and Python.
• Real-Time Systems: Deployment on STM
  32, Jetson, and (foresee ably)…