Job Overview
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Job Description
Robotics Software Engineer
One of our clients, a global leader in the Artificial Intelligence industry, is seeking a skilled Software Engineer (Robotics) to join their core team as a full-time employee. In this role, you will contribute to building data systems for advanced robotics applications, focusing on multi-camera and sensor data ingestion, synchronization, and processing. The ideal candidate will have expertise in ROS 2, LiDAR, Python, and C++.
Key Responsibilities:
- Support the development of multi-camera ingestion pipelines for synchronized data capture.
- Work with depthAI and camera systems to integrate and manage visual data streams.
- Help build and maintain video + sensor data pipelines.
- Assist in implementing calibration workflows for multi-camera and sensor setups.
- Work with MCAP and Protobuf for data recording and serialization.
Required Skills & Qualifications:
- Proficiency in ROS 2, LiDAR, Python, and C++.
- Experience with multi-camera and sensor data ingestion, synchronization, and processing.
- Strong understanding of robotics and computer vision.
- Excellent problem-solving skills and attention to detail.
- Ability to document systems and workflows clearly.
More About the Opportunity:
This is a full-time remote position with a competitive salary range of $130k - $225k per year. The successful candidate will have the opportunity to work on cutting-edge data systems for advanced robotics applications.
Equal Opportunity Employer:
We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.
Key skills/competency
- Robotics Software Engineer
- ROS 2
- LiDAR
- Python
- C++
- Multi-camera Systems
- Sensor Data Processing
- Computer Vision
- Data Ingestion
- Robotics Data Systems
How to Get Hired at Jobs Ai
- Tailor your resume: Highlight your ROS 2, LiDAR, Python, and C++ skills. Quantify achievements in robotics and data processing.
- Showcase projects: Include personal or professional projects demonstrating multi-camera and sensor data expertise.
- Prepare for technical questions: Expect deep dives into robotics, computer vision, and data pipeline concepts.
- Emphasize problem-solving: Provide examples of how you've tackled complex technical challenges.
- Network if possible: Connect with current employees on LinkedIn to gain insights into the team culture.
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