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Remote Sensor Operator Jobs in Texas (NOW HIRING)

$160K - $180K/yr

Our platforms combine multi-sensor fusion, 3D imaging, and AI technologies to create complete ... Remote in the US Ability to travel up to 50% Exodigo encourages applications from qualified ...

Remote Sensor Operator information

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 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 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.

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 job categories do people searching Remote Sensor Operator jobs in Texas look for? The top searched job categories for Remote Sensor Operator jobs in Texas are:

Senior Software Engineer - Fleet Software Management System

Avride

Austin, TX • On-site, Remote

$121K - $160K/yr

Other

Posted 10 days ago


Job description

About the team

We are a fast-moving team of infrastructure and platform engineers building Fleet Orchestrator, which manages our entire fleet state, including software versions and configuration. Our system ensures that every vehicle in the field is running the correct, validated software stack - from the core autopilot bundles to low-level sensor firmware.

About the role

We're looking for a Senior Software Engineer to take a key role in designing and evolving our Fleet Orchestrator. You'll be responsible for the architecture, implementation, and reliability of the system that deploys software to thousands of autonomous vehicles operating in complex urban environments.

This is a hands-on, high-impact role where your work directly ensures the stability, consistency, and safety of our fleet at scale. You'll be solving complex systems problems that are critical to our mission.

What you'll do
  • Design and build a cloud-based service that dynamically computes and serves vehicle software specifications based on fleet requirements, operational state, and hardware profiles.
  • Architect and develop the agent that runs on every vehicle, managing its state and software lifecycle.
  • Deepen our integration of the agent with the underlying OS to ensure robust and isolated application environments on the vehicles.
  • Collaborate with other involved teams to define and implement deployment strategies that improve reliability, enhance the developer-to-vehicle workflow, and ensure reproducible deploys.
  • Debug and resolve complex, system-level issues across the fleet, ensuring high reliability and uptime for our autonomous systems.
What you'll need
  • Strong proficiency in Python, with experience building robust, testable, and maintainable applications.
  • Solid experience with Linux systems programming and administration, particularly with systemd.
  • Experience building and running systems in production. Proficiency with AWS, Kubernetes, or similar technologies is highly valued
  • A systems-thinking mindset-you can reason about complex distributed systems and their failure modes.
Nice to have
  • Deep understanding of software deployment, configuration management, and infrastructure-as-code principles.
  • Proficiency in Go, particularly for building scalable backend services.
  • Experience with Nix or NixOS
  • Familiarity with gRPC for building inter-service communication.
  • Background in robotics, IoT, or managing software for embedded or remote hardware.