# GNC Software Engineer

**Company**: Anduril
**Location**: Waltham, Massachusetts
**Experience**: senior
**Job type**: full-time
**Salary**: $167,000-$222,000 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/andurilindustries/jobs/5281208007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/gnc-software-engineer-9a41e1f7-4c8/

## Description

## About the Team

At Anduril, our Battlespace Awareness Command and Control Software team specialises in solving complex, real-world problems through cutting-edge algorithms and intelligent software integrations. Operating in small, innovative teams, we push the boundaries of what's possible to deliver advanced technologies with mission-critical applications.

## What You Will Do

- Define and influence the direction of a small team within the Command and Control Software organisation, leveraging your subject-matter expertise in path planning and route optimisation.

- Prototype and deploy state-of-the-art algorithms for global and local path planning, trajectory optimisation, and multi-agent coordination within command and control systems.

- Develop high-performance software for real-time C2 systems, ranging from operator-facing mission planning tools to autonomous tasking and routing services that orchestrate fleets of unmanned platforms.

- Design and implement robust planners, search algorithms, and decision-making systems that generate safe, feasible, and optimal routes in dynamic, uncertain, and contested environments.

- Analyse system performance using high-fidelity simulations, innovative modelling tools, and rigorous statistical techniques to validate planner behaviour across diverse mission scenarios.

- Drive customer success by customising algorithms and software for mission-critical use cases, including collaborative autonomy, asset routing, and obstacle and threat avoidance.

- Integrate path planning technologies into the broader command and control software stack and development lifecycle, from requirements definition through testing and optimisation.

- Translate technical progress into clear, actionable insights for diverse stakeholders, including colleagues, operators, and end-users.

## Required Qualifications

- Proficiency in algorithm design, software development, and mathematical modelling with programming expertise in C/C++, Python, and Matlab.

- Strong knowledge of path planning techniques, such as graph-based search (A*, D* Lite), sampling-based planners (RRT, RRT*, PRM), and lattice or grid-based planners.

- Demonstrated experience in guidance, navigation, and control (GNC); trajectory optimisation; and/or the development of predictive models for vehicle dynamics and weapon system effectiveness.

- Solid understanding of applied mathematics, including linear algebra, optimisation, computational geometry, and graph theory.

- Knowledge of vehicle dynamics, kinematic constraints, and control theory as applied to autonomous ground, air, or maritime platforms tasked through C2 systems.

- Familiarity with map representations, terrain reasoning, and the efficient handling of large-scale geospatial and environmental data within distributed C2 architectures.

- Background in machine learning as applied to planning and decision-making, including reinforcement learning, learned heuristics, and behaviour prediction.

- Ability to engineer robust systems for planning under uncertainty, multi-agent coordination, and operation in complex, dynamic, contested environments.

- Demonstrated ability to work across development lifecycles, from prototyping to optimising production systems.

- Eligible to obtain and maintain an active U.S. Top Secret security clearance.

## Benefits

At Anduril, we invest in our people. Our comprehensive, competitive benefits package ensures you're supported in health, recovery, and whatever comes next.

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## Skills

### Required
- C/C++
- Python
- Matlab
- algorithm design
- software development
- mathematical modelling
- path planning
- guidance, navigation, and control (GNC)
- trajectory optimisation
- machine learning

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/andurilindustries/jobs/5281208007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)