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Internship Aerial Camera Operator Jobs in California

Metrea Management LLC

Lead Training ARO

Temecula, CA · On-site

$175K - $190K/yr

... aerial firefighting, and advanced simulation.  Wherever we operate, we build vertically ... With operators and engineers under one roof, we close the gap between lab and field--what we call ...

Skydio, Inc

Product Management Intern

San Mateo, CA · On-site

$58/hr

... and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in ... controllers, cameras, and accessories ecosystem. This is an incredible opportunity to learn ...

Neuralink

Robot Optics Intern

South San Francisco, CA · On-site

$35/hr

The Robot Optics Team is passionate about shaping the future of operating rooms. We are responsible ... Key subsystems include 2D and 3D machine vision cameras, optical coherence tomography, and surgical ...

Gradient Robotics

Software Engineer

San Francisco, CA · On-site

Learn the full data flow: camera frames in, perception and planning in the middle, control commands ... with strong project or internship experience are welcome to apply) * Strong programming ...

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Internship Aerial Camera Operator information

What is the difference between Internship Aerial Camera Operator vs Aerial Camera Operator?

AspectInternship Aerial Camera OperatorAerial Camera Operator
CredentialsTypically requires a basic camera or drone operation certification, often as part of trainingRequires advanced drone or camera operation certifications and sometimes a commercial drone license
Work EnvironmentPrimarily supervised, on-set or in controlled outdoor environments, learning the basicsProfessional filming locations, outdoor shoots, often with more complex equipment
Employer & Industry UsageInternships are offered by production companies, broadcasters, or film studios for trainingFull-time or freelance roles in film, television, or commercial production

The main difference is that an Internship Aerial Camera Operator is a training position focused on gaining experience and skills, often requiring basic certifications. An Aerial Camera Operator is a professional role requiring advanced certifications, responsible for operating equipment in professional production settings.

What are the most commonly searched types of Aerial Camera Operator jobs in California? The most popular types of Aerial Camera Operator jobs in California are:
What are popular job titles related to Internship Aerial Camera Operator jobs in California? For Internship Aerial Camera Operator jobs in California, the most frequently searched job titles are:
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Internship Aerial Camera Operator jobs near you

Robotics Perception Engineer I/II - Perception Systems & Integration

Zone 5 Technologies

San Luis Obispo, CA • On-site

Full-time

Re-posted 28 days ago

Job description

We are seeking a Robotics Perception Engineer to build and integrate real-time vision systems and perception infrastructure for unmanned aerial platforms. You will develop camera pipelines, implement sensor fusion algorithms, and create robust testing frameworks to ensure reliable perception performance across diverse operating conditions. 

Responsibilities: 

Vision System Integration 

  • Develop and maintain camera drivers and sensor interfaces for multi-camera systems on embedded platforms
  • Integrate off-the-shelf and custom perception algorithms into production autonomy stacks
  • Build efficient image processing pipelines using GStreamer, V4L2, and Jetson multimedia APIs
  • Implement camera calibration workflows including intrinsic, extrinsic, and temporal synchronization
  • Design data logging and telemetry systems for perception subsystem monitoring and debugging 

Perception Infrastructure & ROS2 Development 

  • Build ROS2 nodes for camera capture, sensor fusion, and perception output distribution 
  • Develop standardized message interfaces and APIs between perception, planning, and control systems 
  • Create visualization and diagnostic tools for real-time perception system health monitoring 
  • Implement efficient data serialization and transport for high-bandwidth sensor streams 
  • Maintain perception software repositories with proper documentation and version control 

Algorithm Implementation & Tuning 

  • Integrate visual-inertial odometry (VIO) and SLAM libraries for state estimation 
  • Tune EKF/UKF filters for multi-sensor fusion from IMU, cameras, barometers, and rangefinders 
  • Implement outlier rejection and sensor health monitoring for robust operation 
  • Optimize algorithm parameters based on flight test data and performance metrics 

Testing & Validation 

  • Design comprehensive test scenarios in simulation environments 
  • Develop automated regression test suites for continuous integration of perception updates 
  • Analyze flight logs and sensor data to identify failure modes and performance degradation 
  • Create hardware-in-the-loop test setups for pre-flight validation 
  • Support flight test operations and conduct post-flight performance analysis 

Qualifications:

  • 2-4+ years of experience in robotics perception, computer vision, or sensor integration 
  • Bachelor's in Robotics, Aerospace Engineering, Computer Science, Electrical Engineering, or related field - equivalent industry experience also welcome
  • Proficient in C++14/17 with understanding of modern software development practices 
  • Strong hands-on experience with ROS2 architecture, packages, and development workflows 
  • Solid understanding of camera systems, image sensors, and computer vision fundamentals 
  • Experience with sensor calibration procedures and multi-sensor time synchronization 
  • Familiarity with Linux development environments and embedded systems 
  • Strong debugging skills and experience with system-level integration 

Preferred: 

  • Experience with camera drivers, GStreamer, V4L2, or similar multimedia frameworks 
  • Hands-on experience with NVIDIA Jetson platforms (Orin, Xavier, AGX) 
  • Prior work with small UAVs, drones, or mobile robotics platforms 
  • Familiarity with PX4 or ArduPilot autopilot systems and MAVLink protocol 
  • Experience with state estimation techniques (EKF, UKF, particle filters) 
  • Knowledge of VIO/SLAM frameworks (OpenVINS, VINS-Fusion, ORB-SLAM) 
  • Python skills for data analysis, visualization, and tooling development 
  • Understanding of real-time systems and computational performance optimization 
  • Experience with CI/CD pipelines for robotics software 
    • Background in sensor fusion, optical flow, or feature-based tracking 

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