# GNC Senior Software Engineer

**Company**: Anduril
**Location**: Waltham, Massachusetts
**Experience**: senior
**Job type**: full-time
**Salary**: $220,000-$292,000 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/andurilindustries/jobs/5178102007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
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## Description

## Job Overview

At Anduril, our Battlespace Awareness Command and Control Software team specializes in solving complex, real-world problems through cutting-edge algorithms and intelligent software integrations. We are seeking a highly talented GNC Senior Software Engineer to join our mission and redefine the future of defense technology.

## What You Will Do

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

- Prototype and deploy state-of-the-art algorithms for global and local path planning, trajectory optimization, 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.

- Analyze system performance using high-fidelity simulations, innovative modeling tools, and rigorous statistical techniques to validate planner behavior across diverse mission scenarios.

- Drive customer success by customizing 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 optimization.

- 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 modeling 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 optimization; and/or the development of predictive models for vehicle dynamics and weapon system effectiveness (e.g., 6-DoF simulation, intercept analysis).

- Solid understanding of applied mathematics, including linear algebra, optimization, 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 behavior 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 optimizing production systems.

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

## Benefits

- Competitive salary: $220,000-$292,000 USD per year

- Highly competitive equity grants

- Comprehensive, competitive benefits package

## Skills

### Required
- algorithm design
- software development
- mathematical modeling
- C/C++
- Python
- Matlab
- path planning techniques
- graph-based search
- sampling-based planners
- lattice or grid-based planners
- guidance, navigation, and control (GNC)
- trajectory optimization
- predictive models
- vehicle dynamics
- weapon system effectiveness
- applied mathematics
- linear algebra
- optimization
- computational geometry
- graph theory
- kinematic constraints
- control theory
- autonomous ground, air, or maritime platforms
- map representations
- terrain reasoning
- geospatial and environmental data
- machine learning
- reinforcement learning
- learned heuristics
- behavior prediction

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