Robotics Engineer, SLAM

Recruiting from Scratch; Scottsdale (AZ); On-site; USD 120,000 - 150,000; Full time

Job summary

A leading company is at the forefront of deploying unmanned ground vehicle swarms for defense applications. They seek a Robotics Engineer (SLAM) to design and implement advanced SLAM systems, particularly for environments where GPS is unreliable. The ideal candidate will have extensive experience in SLAM algorithms, sensor fusion, and real-time processing, contributing to the development of state-of-the-art robotic navigation solutions.

Qualifications

• Experience architecting and implementing robust SLAM algorithms.
• Ability to design low-latency processing pipelines.
• Experience in fault detection and recovery systems.

Responsibilities

• Design, implement, test, and maintain SLAM systems.
• Integrate data from sensors like LIDAR and cameras.
• Develop SLAM systems for single-agent and multi-agent contexts.

Skills

SLAM Development

Sensor Fusion

Real-Time Processing

Fault Management

Performance Optimization

Security Clearance

Tools

C++

Python

ROS2

Job description

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Title of Role: Robotics Engineer (SLAM) / Mapping & Localization Engineer (Multi-Agent SLAM)

About the Company:

We are on the forefront of deploying unmanned ground vehicle (UGV) swarms for defense applications and are seeking a highly skilled Simultaneous Localization & Mapping (SLAM) Engineer to join our team. This role is crucial in designing, implementing, testing, and maintaining the SLAM systems that enable our unmanned ground vehicles to navigate and map their environments accurately, especially in GPS denied/degraded areas. The ideal candidate will specialize in SLAM algorithms, sensor fusion, real-time localization, and mapping, ensuring our robotic swarms can operate effectively in diverse and challenging environments. The selected candidate will have the opportunity to build a modern SLAM stack and apply that capability in both single-agent and multi-agent contexts.

Required qualifications

• SLAM Development: Experience architecting and implementing robust SLAM algorithms for real-time localization and mapping in autonomous robotic systems.
• Sensor Fusion: Experience integrating data from sensors like LIDAR, cameras, and IMUs to improve SLAM accuracy and reliability.
• Real-Time Processing: Ability to design and implement low-latency, high-accuracy processing pipelines.
• Fault Management: Experience in fault detection and recovery systems within SLAM to ensure reliability.
• Performance Optimization: Skills in optimizing SLAM algorithms for embedded systems with limited resources.
• Work Environment: Comfortable working in a fast-paced startup environment.
• Security Clearance: Able to obtain and hold a U.S. security clearance.
• Location: Able to work onsite in Phoenix, AZ.

Preferred qualifications

• Experience with unmanned ground vehicles or robotic swarms.
• Experience with 3D SLAM and dense mapping techniques.
• Proficiency in C++ and Python.
• ROS2 Integration: Experience developing SLAM systems within ROS2.
• CI/CD pipelines familiarity.
• Proven track record of real-world SLAM applications in robotics.

Compensation: $120-150k base + equity

https://www.recruitingfromscratch.com/

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering, Information Technology, and Research

Industries

• Robotics Engineering, Robot Manufacturing, and Defense and Space Manufacturing

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Note: The posted location is Chandler, AZ, with a salary range of $50,000-$85,000, posted 1 day ago.