State Estimation Engineer - Autonomy

USA Tech Recruit; El Segundo (CA); On-site; USD 90,000 - 120,000; Full time

Job summary

A leading technology startup in El Segundo, CA is seeking a State Estimation Engineer to design and optimize algorithms for autonomous aerial systems. The ideal candidate has over 3 years of experience in state estimation, a strong background in sensor fusion methods, and proficiency in C++ or Python. This is a full-time, onsite role requiring US citizenship and top-secret clearance.

Qualifications

• 3+ years of experience in developing state estimation for robotics or UAVs.
• Strong background in sensor fusion methods such as Kalman filters.
• Experience with real-time computing environments and simulation tools.

Responsibilities

• Design and implement state estimation algorithms for sensors.
• Develop and deploy real-time software for embedded platforms.
• Test and validate algorithms in various conditions.

Skills

Developing state estimation algorithms

Sensor fusion methods

Proficiency in C++ or Python

Experience with embedded systems

Understanding of linear algebra, probability, and optimization

Tools

Gazebo

Mujoco

Job description

Overview

We’re working with a well-funded startup transforming the defence industry looking for a State Estimation Engineer, who will be responsible for designing, implementing, and optimizing algorithms that provide accurate and reliable state estimation for autonomous aerial systems. This role requires close collaboration with both hardware and software teams to ensure robust performance across diverse operational scenarios.

This is a full time, onsite position in El Segundo, CA and you must be a US citizen and able to obtain US top secret security clearance to apply for this position.

Key Responsibilities

• Design and implement state estimation algorithms, including multi-sensor fusion for IMUs, GPS, cameras, and other onboard sensors.
• Develop and deploy real-time software for embedded platforms.
• Test and validate algorithms in both simulated and real-world environments.
• Diagnose and improve estimation performance under challenging conditions such as sensor noise, environmental interference, and hardware limitations.
• Collaborate with autonomy, controls, and perception teams to integrate state estimation into navigation and guidance systems.
• Keep up to date with advancements in state estimation, robotics, and related research fields.

Key Qualifications

• 3+ years of experience developing state estimation algorithms for robotics, UAVs, or similar autonomous systems.
• Strong background in sensor fusion methods (e.g., Kalman filter variants, particle filters).
• Proficiency in C++ or Python.
• Experience with embedded or real-time computing environments.
• Familiarity with IMU, GPS, camera, and lidar sensors.
• Solid understanding of linear algebra, probability, and optimization techniques.
• Experience with simulation tools such as Gazebo or Mujoco.

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