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Camera Tracking Jobs in California (NOW HIRING)

Adobe, Inc.

Quality Engineer, Nextcam

San Jose, CA · On-site

$84K - $109K/yr

If you're eager to make a visible impact on camera experiences used by millions, we'd love to meet ... Experience with bug tracking systems such as JIRA and source control tools like GitHub. * Strong ...

Adobe

Quality Engineer, Nextcam

San Jose, CA · On-site

$84K - $109K/yr

If you're eager to make a visible impact on camera experiences used by millions, we'd love to meet ... Experience with bug tracking systems such as JIRA and source control tools like GitHub. * Strong ...

Satwic Inc

Project Coordinator

Los Angeles, CA · On-site

... camera, intrusion, public address and VoIP * Create and maintain accurate meeting minutes * Create and maintain spreadsheets used for tracking projects * Receiving and inventory the delivery of ...

Specter

ML Research Engineer

San Francisco, CA · On-site

... camera, from security incidents (e.g. perimeter intrusion, theft, LPR), to safety monitoring (e.g. PPE detection, injured people), to operational efficiency (e.g. material tracking, congestion ...

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All JobsCamera Tracking JobsCamera Tracking Jobs in California

Camera Tracking information

See California salary details

$13

$27

$61

How much do camera tracking jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for camera tracking in California is $27.80, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $30.14 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals in camera tracking roles, and how can they be addressed?

Camera tracking specialists often encounter challenges such as working with low-quality or shaky footage, inconsistent lighting, and complex camera movements. To address these, it’s important to develop strong problem-solving skills and proficiency in software like PFTrack, SynthEyes, or After Effects. Collaborating closely with VFX supervisors and other post-production team members can also help ensure accurate tracking data and seamless integration of CGI elements. Staying updated on the latest tracking techniques and tools can further enhance efficiency and output quality.

What is camera tracking?

Camera tracking, also known as match moving, is the process of analyzing video footage to determine the movement of the camera so that computer-generated elements can be accurately integrated into the scene. This technique is widely used in film and television visual effects to seamlessly blend live-action footage with 3D graphics or animations. By recreating the camera's movement in a virtual environment, artists ensure that the added elements match the perspective, scale, and motion of the original shot. Camera tracking can be done in both 2D and 3D, depending on the project's needs.

What is the difference between Camera Tracking vs Motion Capture Artist?

AspectCamera TrackingMotion Capture Artist
Required CredentialsKnowledge of camera systems, software skills (e.g., PFTrack, Boujou)Motion capture technology, suit operation, data processing
Work EnvironmentPost-production, visual effects studios, film setsVFX studios, animation facilities, film sets
Industry UsageAligning CGI with live-action footageCreating realistic character animations

Camera Tracking involves analyzing footage to match virtual elements with real-world camera movements, essential for integrating CGI. Motion Capture Artists record actors' movements to animate digital characters. While both roles support visual effects, Camera Tracking focuses on footage analysis, whereas Motion Capture involves capturing physical performances for animation.

What are the key skills and qualifications needed to thrive as a camera tracking artist?

To thrive as a Camera Tracking Artist, you need a solid understanding of 3D geometry, motion tracking, and visual effects, often supported by a background in film, animation, or computer graphics. Expertise with industry-standard tools such as Autodesk Maya, PFTrack, Boujou, or SynthEyes, along with knowledge of compositing software like Nuke, is typically required. Strong attention to detail, problem-solving abilities, and effective collaboration are crucial soft skills in this role. These skills ensure the seamless integration of computer-generated elements into live-action footage, which is essential for producing believable visual effects in film and television.
What are popular job titles related to Camera Tracking jobs in California? For Camera Tracking jobs in California, the most frequently searched job titles are:
What job categories do people searching Camera Tracking jobs in California look for? The top searched job categories for Camera Tracking jobs in California are:
Camera Tracking jobs near you
Infographic showing various Camera Tracking job openings in California as of July 2026, with employment types broken down into 2% Internship, 67% Full Time, 25% Part Time, 2% Temporary, and 4% Contract. Highlights an 98% In-person, and 2% Remote job distribution, with an average salary of $57,816 per year, or $27.8 per hour.

Computer Vision Engineer - Autonomy & Perception

Pivotal

Palo Alto, CA • On-site

$131K - $154K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 6 days ago

Job description

Pivotal is the leader in the emerging market of electric Vertical Takeoff and Landing (eVTOL) aircraft. We design, develop, and manufacture light eVTOL aircraft and are renowned for the BlackFly aircraft the world's first light eVTOL to fly manned missions and enter the consumer market.
Efficient, compact, and simple, Pivotal aircraft are designed for a wide range of consumer, public service, and defense applications. Our distinctive tilt-aircraft architecture and scalable platform have been flying for over 10 years. Last year we announced our next-generation aircraft, the Helix, which is rapidly progressing toward general release and scalable production in 2026.
Mobility is one of the most highly-valued areas of modern technology investments. This is the right company, in the right space, the right strategy, at the right time. If you are ready for adventure, we invite you to join our amazing team and grow with us.
The Autonomy team at Pivotal develops advanced autonomy capabilities for our aircraft, enabling safe, precise, and reliable mission execution from takeoff to landing. We are seeking a Computer Vision Engineer to support the development of next-generation perception systems for our autonomous aerial platforms, including the Helix family of systems.
In this role, you will collaborate with autonomy, guidance, navigation and control (GNC), flight software, and AI engineers to design, implement, and deploy computer vision algorithms that operate effectively in dynamic, real-world environments. You will work across object detection, tracking, visual localization, scene understanding, sensor fusion, and perception-driven autonomy to enable robust autonomous operations in challenging mission scenarios.
The ideal candidate combines strong computer vision fundamentals with practical experience deploying perception systems on robotic or autonomous platforms. You will play a key role in developing vision capabilities that support navigation, obstacle avoidance, target tracking, and mission autonomy while contributing to the broader autonomy stack deployed on operational aircraft.
Responsibilities
  • Perception & Computer Vision: Design and develop perception systems for autonomous aerial platforms operating in GPS-denied and contested environments; implement object detection, classification, segmentation, and tracking algorithms using RGB, thermal, and multimodal sensor data; develop visual perception pipelines for obstacle detection, collision avoidance, and situational awareness; build scene understanding capabilities to support autonomous navigation and mission execution; evaluate and integrate state-of-the-art computer vision and AI techniques into operational systems.

  • Visual Navigation & Localization: Develop visual-inertial odometry, localization, and mapping algorithms; implement vision-based navigation solutions for degraded and GPS-denied environments; support SLAM and feature-based localization systems; design robust estimation methods that fuse camera, IMU, GPS, lidar, and radar data; improve navigation performance through sensor fusion and environmental awareness.

  • Machine Learning & AI: Develop, train, and deploy deep learning models for onboard perception; create data processing, labeling, augmentation, and evaluation pipelines; optimize neural networks for real-time inference on embedded computing platforms; analyze model performance and improve robustness across operational conditions; support deployment of perception models on edge AI hardware.

  • Camera Systems & Sensor Integration: Integrate and evaluate diverse imaging systems including RGB, stereo, fisheye, thermal, and event-based cameras; develop camera calibration workflows and sensor characterization procedures; support multi-camera synchronization and calibration efforts; improve image quality, calibration accuracy, and perception system reliability; collaborate with hardware teams to evaluate and integrate emerging sensor technologies.

  • Testing & Validation: Develop simulation and testing frameworks for perception algorithms; support software-in-the-loop, hardware-in-the-loop, and flight testing activities; analyze flight data to identify performance gaps and improve perception robustness; establish metrics and validation procedures for autonomous perception systems; document system performance and support field deployments.

Qualifications
  • Education: Bachelor's degree in Computer Science, Robotics, Electrical Engineering, Aerospace Engineering, or a related technical field.

  • Experience: 2-4 years of industry experience in computer vision, robotics, machine learning, or autonomous systems OR Master's degree with 1-2 years of industry experience.

  • Strong proficiency in C++, Python, or Rust.

  • Experience with OpenCV and modern computer vision frameworks.

  • Experience developing perception systems using PyTorch, TensorFlow, or similar machine learning frameworks.

  • Strong understanding of image processing, geometric vision, and camera systems.

  • Experience with object detection, tracking, segmentation, and machine learning-based perception algorithms.

  • Familiarity with sensor fusion and state estimation techniques.

  • Experience with ROS/ROS2 or similar robotics middleware.

  • Experience developing software in Linux environments.

Preferred Qualifications
  • Master's or PhD in Computer Vision, Robotics, Machine Learning, Computer Science, or a related field.

  • Experience with autonomous aircraft, UAVs, robotics, or aerospace systems.

  • Experience with visual SLAM, visual-inertial odometry, or localization systems.

  • Knowledge of camera calibration, multi-camera systems, and geometric computer vision.

  • Experience integrating lidar, radar, thermal cameras, and inertial sensors into perception systems.

  • Experience deploying AI models on embedded platforms such as NVIDIA Jetson or similar edge computing hardware.

  • Familiarity with simulation environments such as Gazebo, Isaac Sim, AirSim, or equivalent.

  • Experience optimizing perception systems for real-time performance and resource-constrained platforms.

  • Contributions to open-source robotics, autonomy, or computer vision projects.

  • Familiarity with defense industry standards and security clearance processes.

Attributes aligned with Core Values
  • Demonstrates a proactive safety mindset by embedding safety into daily operations, identifying and mitigating risks through assessments and training, encouraging open dialogue on safety concerns, and continuously improving protocols to ensure a safe work environment.
  • Puts customers at the center of every action by deeply understanding their challenges, delivering exceptional value, and striving to exceed expectations to support their success as our core purpose.
  • Actively seeks and values diverse stakeholder perspectives, builds cross-functional relationships, and fosters trust through empathetic, fact-based communication-committing to shared decisions for the greater good.
  • Drives results with clarity and purpose by focusing on what matters most, adapting to change, taking initiative, and owning outcomes while aligning actions with a clear understanding of success at every level.
  • Navigates ambiguity with resilience and bold thinking, challenges the status quo, and combines innovative ideas with practical best practices to overcome obstacles and drive progress.
  • Fosters a high-performance culture grounded in respect, professionalism, and support-balancing high expectations with a healthy, collaborative environment and being a trusted, dependable teammate.

$157,000 - $182,000 a year
Applicants must be eligible for employment in the United States and willing to work onsite at our HQ office in Palo Alto, CA.
Pivotal offers a comprehensive benefits package, including medical, dental, vision, and 401k plans.
Pivotal is an Equal Opportunity Employer. Pivotal does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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