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Sensor Fusion Remote Jobs (NOW HIRING)

Parsons

Data Analytics Architect

Alexandria, VA · On-site +1

Experience with UAS, C-UAS, radar systems, RF analytics, or sensor fusion. * Familiarity with DoD ... FAA Part 107 Remote Pilot Certification (required) Physical Requirements / Working Conditions ...

Samsara

Senior Manager, Safety AI

This is a remote position open to candidates residing in the United States. This position requires ... Lead teams of scientists and engineers working on CV, sensor fusion, and ML. * Help architect ...

FieldAI

Software Engineer, ROS Developer

Irvine, CA · On-site +1

$70K - $300K/yr

Solid understanding of localization, SLAM, sensor fusion, and navigation systems. * Familiarity ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

FieldAI

Software Engineer, ROS Developer

Irvine, CA · On-site +1

$70K - $300K/yr

Solid understanding of localization, SLAM, sensor fusion, and navigation systems. * Familiarity ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

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How much do sensor fusion remote jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for sensor fusion remote in the United States is $29.73, according to ZipRecruiter salary data. Most workers in this role earn between $24.04 and $34.38 per hour, depending on experience, location, and employer.

What are some typical challenges faced by professionals working in remote sensor fusion roles?

Professionals in remote sensor fusion roles often encounter challenges such as synchronizing data streams from diverse sensors, ensuring reliable communication over networks, and troubleshooting latency or data loss. Since much of the work is conducted remotely, effective collaboration with cross-functional teams—such as software engineers, data scientists, and hardware specialists—becomes crucial. Additionally, adapting to evolving sensor technologies and integrating new data sources can require continuous learning and flexibility. Maintaining clear documentation and leveraging collaborative tools help overcome many of these challenges in a distributed work environment.

What are the key skills and qualifications needed to thrive as a Sensor Fusion Engineer (Remote), and why are they important?

To thrive as a Sensor Fusion Engineer (Remote), you need a solid background in signal processing, mathematics, and computer science, often supported by a degree in a related engineering field. Experience with tools like MATLAB, Python, C++, and sensor data integration platforms, as well as familiarity with machine learning frameworks, is highly valuable. Exceptional problem-solving, teamwork, and communication skills help you effectively collaborate and translate complex data into actionable insights. These capabilities ensure accurate, real-time system performance and successful remote collaboration in developing intelligent sensing applications.

What are Sensor Fusion Remote jobs?

Sensor Fusion Remote jobs involve working with technologies that combine data from multiple sensors (such as cameras, radar, lidar, and IMUs) to improve the accuracy and reliability of systems, often in fields like autonomous vehicles, robotics, and IoT devices. In a remote capacity, professionals analyze, design, and implement algorithms and software for integrating sensor data, all while collaborating virtually with teams and stakeholders. These roles require expertise in signal processing, data analysis, and programming, and typically involve using tools like Python, C++, and MATLAB.
Infographic showing various Sensor Fusion Remote job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $61,829 per year, or $29.7 per hour.

GN&C Engineer (Remote)

Moonshot Aerospace

Madison, AL • Remote

Full-time

Posted 23 days ago

Job description

Moonshot Aerospace is seeking a Guidance, Navigation & Control Engineer to support spacecraft and planetary lander programs for commercial and government customers. Programs include the Human Landing System (HLS), Commercial Lunar Payload Services (CLPS), and other civil and commercial space efforts.

This position requires depth in at least one GN&C subdisciplinenavigation, guidance, or controlscombined with the ability to develop and maintain high-fidelity modeling and simulation environments for spacecraft and lander design. The engineer will contribute to algorithm development, 6DOF simulation, flight software integration, and mission performance analysis. Multiple experience levels are available, and responsibilities will scale with demonstrated capability.

Responsibilities

  • Develop and analyze guidance, navigation, and/or control algorithms for spacecraft and lander applications
  • Build, maintain, and execute 6DOF simulations and associated analysis tools for mission performance verification
  • Implement and validate state estimation filters (EKF) or control laws depending on subdiscipline focus
  • Develop sensor and actuator models for simulation environments (IMU, star tracker, LiDAR, reaction control systems)
  • Perform Monte Carlo analysis and trade studies to characterize system performance under dispersed conditions
  • Support flight software integration, testing, and verification
  • Contribute to technical documentation, customer deliverables, and program reviews
  • Collaborate with multidisciplinary engineering teams and customer organizations

Required Qualifications

  • U.S. Citizenship and ability to obtain and maintain a security clearance
  • B.S. in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, Physics, or related field
  • 5+ years of professional GN&C experience with spacecraft or launch vehicle systems
  • Demonstrated depth in at least one GN&C subdiscipline: navigation and state estimation, guidance and trajectory design, or control system design and analysis
  • Experience developing and executing high-fidelity spacecraft simulations (3DOF or 6DOF)
  • Strong programming skills in C/C++, Python, and MATLAB/Simulink
  • Experience with configuration management tools (Git or equivalent)
  • Effective written and verbal communication skills

Preferred Qualifications

  • M.S. or Ph.D. in Aerospace Engineering, Electrical Engineering, Physics, or related field
  • Lunar or planetary mission experience
  • Experience with Kalman filter design and tuning for spacecraft applications
  • Terrain Relative Navigation (TRN), optical navigation, or multi-sensor fusion experience
  • Rendezvous and proximity operations experience
  • Hardware-in-the-loop (HWIL) testing and integration
  • Flight software development or real-time systems exposure
  • Familiarity with NASA Trick simulation framework or equivalent
  • Propulsion, slosh modeling, or flexible-body dynamics exposure
  • Launch vehicle or satellite GN&C experience