# Senior Robotics Software Engineer, Navigation/Localization

**Company**: Anduril Industries
**Location**: Costa Mesa, California
**Experience**: senior
**Job type**: full-time
**Salary**: $220,000-$292,000 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/andurilindustries/jobs/5235471007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_a036996b-6c6

## Description

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology.

We are seeking an experienced Navigation/Localization Engineer with a strong background in robotics or aerial systems to join our growing team in Costa Mesa, CA.

## Responsibilities

As a Senior Robotics Software Engineer, Navigation/Localization, you will be developing, integrating, and testing navigation solutions that will allow platforms including Omen and Thunder to operate in the most challenging GNSS-contested environments.

Key responsibilities:

- Implement robust sensor fusion techniques to combine GNSS, IMU, LIDAR, radar, and camera data, improving navigation accuracy and resilience

- Rapidly test, analyze performance, and iterate on algorithm and flight control design in the field

- Develop simulation and testing environment to evaluate the performance of localization solutions under different environmental conditions and scenarios

- Design fault-tolerant algorithms optimized for on-board compute constraints and robust operation in GNSS-contested environments

- Analyze mission requirements and constraints across the Anduril product portfolio to determine optimal navigation, localization, and positioning system architecture

- Architect and improve calibration procedures for sensor suites used in navigation systems

- Work directly with autonomy, flight controls, and hardware teams to integrate navigation solutions into full vehicle systems and close the loop in flight test

- Provide technical leadership and mentorship to junior engineers

## Requirements

- Experience in developing, maintaining, or testing navigation / localization algorithms for autonomous vehicles, robotics, drones, maritime vehicles or similar application

- Experience with Kalman filtering and other estimation techniques

- Strong problem-solving and analytical skills

- Strong communication skills and the ability to take large problems and break them down into actionable parts

- Eligible to obtain and hold a U.S. Secret security clearance

- Travel up to 25%

## Preferred Qualifications

- MS or PhD in Robotics, Computer Science, Applied Math, Physics, or related field

- Experience with Python, Rust, and Nix software development

- Experience with sensor calibration, sensor fusion, state estimation, and SLAM (Simultaneous Localization and Mapping) techniques

- Strong knowledge of navigation principles, including inertial navigation, GPS, and aiding sources (e.g. vision-based navigation)

- Experience with regression testing using data replay from a large number of previously collected datasets

- Experience processing sensor measurements from LIDAR, Electro-Optical sensors, Radar, or RF sensors

- Experience processing sensor measurements from Inertial Measurement Units

- Experience with sensor characterization and modeling

- Experience in Linux and modern software development tooling

- Experience with CUDA and NVIDIA ecosystem

## Skills

### Required
- navigation
- localization
- sensor fusion
- Kalman filtering
- algorithm development
- testing
- analysis
- communication
- problem-solving

### Nice to have
- Python
- Rust
- Nix
- sensor calibration
- SLAM
- inertial navigation
- GPS
- vision-based navigation
- regression testing
- LIDAR
- Electro-Optical sensors
- Radar
- RF sensors
- Inertial Measurement Units
- sensor characterization
- Linux
- CUDA
- NVIDIA ecosystem

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/andurilindustries/jobs/5235471007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)