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What are the key skills and qualifications needed to thrive as a Remote Sensor Operator, and why are they important?

To thrive as a Remote Sensor Operator, you need strong attention to detail, spatial awareness, and a solid understanding of data analysis, often supported by military training or relevant technical certifications. Familiarity with sensor platforms, imagery analysis software, and secure communication systems is typically required. Excellent situational awareness, decision-making skills, and the ability to work under pressure are vital soft skills in this role. These competencies ensure accurate data collection and timely information relay, which are critical for mission effectiveness and safety.

What are some common challenges faced by Remote Sensor Operators, and how can they be effectively addressed?

Remote Sensor Operators often encounter challenges such as managing large volumes of data, interpreting sensor outputs accurately, and maintaining effective communication with field teams. Staying organized and using reliable data management tools can help handle data efficiently. Regular training on sensor technology and protocols ensures accuracy in data interpretation. Additionally, establishing clear communication channels with other team members, such as analysts and engineers, helps resolve issues quickly and ensures mission objectives are met.

What are Remote Sensor Operators?

Remote Sensor Operators are professionals who operate and monitor remote sensing equipment, such as cameras, radar, or other sensors, to collect data from a distance. They often work with airborne, satellite, or ground-based systems to gather information used in fields like defense, environmental monitoring, and resource management. Their responsibilities include controlling the sensors, processing and analyzing the data, and ensuring the accuracy of the information collected. This role requires technical skills, attention to detail, and the ability to interpret complex data. Remote Sensor Operators may work in a variety of industries, including military, agriculture, and scientific research.

What is the difference between Remote Sensor Operator vs Remote Drone Pilot?

AspectRemote Sensor OperatorRemote Drone Pilot
CredentialsFAA Part 107 certification, technical trainingFAA Part 107 certification, drone operation training
Work EnvironmentMonitoring sensors remotely, data analysisFlying drones remotely, aerial data collection
Industry UsageEnvironmental monitoring, security, infrastructureAerial photography, surveying, inspection

Both roles require FAA Part 107 certification and involve remote operation. The Remote Sensor Operator focuses on monitoring and analyzing sensor data, while the Remote Drone Pilot operates drones for aerial tasks. They share similar credentials and work environments but differ in their specific tasks and industry applications.

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Remote Sensor Operator jobs near you
Infographic showing various Remote Sensor Operator job openings in the United States as of May 2026, with employment types broken down into 82% Full Time, 14% Part Time, and 4% Contract. Highlights an 99% Physical, and 1% Remote job distribution.
Robotics Perception Engineer

Robotics Perception Engineer

Slip Robotics

Atlanta, GA • On-site, Remote

Full-time

Medical, Dental, Vision

Posted 15 days ago

Job description

About Slip Robotics
Slip Robotics is transforming freight logistics with autonomous robotic systems that load and unload trailers faster, safer, and more reliably than traditional methods. Our robots operate in demanding real-world environments alongside people and heavy cargo every day. We are a small, high-impact team based in Atlanta building products that are already deployed in production.
The Role
We are looking for a Robotics Perception Engineer to own the sensing and perception stack on our autonomous mobile robots. You will work across LiDAR, cameras, IMUs, and other sensor modalities to give our robots a reliable understanding of their environment-including trailers, pallets, dock infrastructure, and people. This is a hands-on role where your work ships to production robots operating in live freight facilities.
We need someone who has shipped software on real robots at real customer sites. You should have experience deploying perception systems that work reliably in unstructured or semi-structured environments, and you should be comfortable debugging sensor issues on physical hardware.
Key Responsibilities
  • Design, implement, and maintain the perception pipeline for autonomous mobile robots, including object detection, segmentation, localization, and mapping
  • Integrate and calibrate LiDAR, depth cameras, and other sensors on production robot platforms
  • Develop robust point cloud processing and filtering for reliable operation
  • Build and maintain sensor fusion systems that combine multiple modalities for accurate environment understanding
  • Create and manage datasets for perception model training, validation, and regression testing
  • Collaborate closely with navigation, controls, and hardware teams to ensure perception outputs meet downstream requirements
  • Debug and resolve perception failures on deployed robots using logs, recorded sensor data, and on-site investigation
  • Contribute to CI/CD pipelines for perception software testing and deployment

Requirements
  • 5+ years of professional experience building perception systems for physical robots at a robotics or autonomous vehicle company
  • Strong proficiency in C++ and Python
  • Deep experience with LiDAR processing (point cloud filtering, clustering, registration, SLAM)
  • Hands-on experience with camera-based perception
  • Production experience with ROS or ROS 2
  • Experience with sensor calibration (intrinsic, extrinsic, multi-sensor)
  • Familiarity with machine learning frameworks (PyTorch, TensorFlow) for perception tasks
  • Track record of deploying perception software to real robots in real environments-not just simulation
  • Strong debugging skills and comfort working with physical hardware
  • Excellent communication skills and ability to work in a small, fast-moving team
Nice to Have
  • Master's degree or higher in Computer Science, Robotics, or a related field
  • Experience with AWS IoT, Greengrass, or similar edge-cloud architectures
  • Experience in logistics, warehousing, or freight environments
  • Background in Gazebo or other physics simulation for sensor modeling
Remote Work Requirements
This role can be filled remotely. Remote team members are expected to have reliable high-speed internet access and a dedicated workspace. You will need to travel to our Atlanta facility periodically for hardware integration and testing. A company laptop and necessary peripherals will be provided.
Benefits
  • Competitive salary and equity in an early-stage robotics company
  • Comprehensive benefits including health, dental, and vision
  • Permissive time off policy
  • A small team where your work has direct, visible impact on shipped products
  • The chance to work on robots that are operating in production today-not a research project

Apply