# Senior Software Engineer, Robotics Tracking and Fusion

**Company**: Anduril
**Location**: Fort Collins, Colorado
**Experience**: senior
**Job type**: full-time
**Salary**: $190,000-$252,000 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/andurilindustries/jobs/5178123007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_66fb9228-262

## Description

At Anduril, our Software Engineers specialize 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.

You will define and influence the direction of a small team, leveraging your subject-matter expertise in target tracking and state estimation. You will prototype and deploy state-of-the-art algorithms for tracking, multi-sensor data fusion, and state estimation in agile, iterative development environments. You will develop high-performance software for real-time systems, ranging from tactical implementations to simulation environments and decision support tools.

Responsibilities:

- Design and implement robust filters, estimators, and probabilistic reasoning systems that enable actionable insights from noisy, ambiguous, or incomplete sensor data.

- Analyze system performance using high-fidelity simulations, innovative modeling tools, and rigorous statistical techniques to validate the benefits of our technology.

- Drive customer success by customizing algorithms and software for mission-critical use cases, including real-time tracking and sensor fusion.

- Integrate tracking and estimation technologies into the broader software development lifecycle, from requirements definition through testing and optimization.

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

Required Qualifications:

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

- Strong knowledge of target tracking techniques, such as Kalman filters, particle filters, and multi-target tracking algorithms (e.g., JPDA, MHT, or PHD filters).

- Experience in state estimation, including Bayesian filtering, sensor fusion, and recursive estimation techniques.

- Solid understanding of applied mathematics, including linear algebra, optimization, probability, and stochastic processes.

- Knowledge of signal processing techniques for interpreting diverse sensor data (e.g., radar, lidar, EO/IR).

- Familiarity with big data pipelines, NoSQL databases, and the efficient handling of large-scale sensor data.

- Background in machine learning as applied to target tracking and recognition, including clustering, classification, and anomaly detection techniques.

- Ability to engineer robust systems for estimation theory, adaptive filtering, controls, and complex signal 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: Anduril offers top-tier benefits for full-time employees, including a comprehensive, competitive benefits package (available at little to no cost to employees) that ensures you're supported in health, recovery, and whatever comes next.

Salary Range: $190,000-$252,000 USD

## Skills

### Required
- algorithm design
- software development
- statistical modeling
- C/C++
- Python
- Matlab
- target tracking
- Kalman filters
- particle filters
- multi-target tracking algorithms
- state estimation
- Bayesian filtering
- sensor fusion
- recursive estimation techniques
- applied mathematics
- linear algebra
- optimization
- probability
- stochastic processes
- signal processing
- big data pipelines
- NoSQL databases
- machine learning
- estimation theory
- adaptive filtering
- controls
- complex signal environments

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