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Camera Calibration Software Engineer Jobs (NOW HIRING)

Software Engineer

San Diego, CA · On-site

$141K/yr

Position Overview We are looking for a Software Engineer to design, develop, and expand our SDK ... sensor data, camera calibration, or frame-level manipulation. Communication Skills: * Proven ...

Software Engineer

San Diego, CA · On-site

$141K/yr

Position Overview We are looking for a Software Engineer to design, develop, and expand our SDK ... camera calibration, or frame-level manipulation. Communication Skills: * Proven ability to write ...

Showing results 41-60

Camera Calibration Software Engineer information

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$51

How much do camera calibration software engineer jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for camera calibration software engineer in the United States is $41.87, according to ZipRecruiter salary data. Most workers in this role earn between $35.34 and $44.71 per hour, depending on experience, location, and employer.

What does a camera calibration software engineer do?

A Camera Calibration Software Engineer develops and implements algorithms and tools to calibrate cameras for accurate image capture and processing. This involves ensuring that camera systems produce precise measurements, correct distortions, and align with other sensors or devices. They often work with computer vision, robotics, or autonomous vehicle teams to optimize camera performance in various environments. Their work helps improve the quality and reliability of image-based systems by handling tasks such as intrinsic and extrinsic calibration, lens distortion correction, and synchronization.

What are the key skills and qualifications needed to thrive as a camera calibration software engineer, and why are they important?

To thrive as a Camera Calibration Software Engineer, you need a solid background in computer vision, mathematics (particularly geometry and linear algebra), and experience with programming languages like C++ or Python, often supported by a relevant degree in computer science or engineering. Familiarity with technical tools such as OpenCV, MATLAB, and camera calibration frameworks, as well as knowledge of imaging systems, is typically required. Strong problem-solving abilities, attention to detail, and effective collaboration skills set top performers apart in this field. These competencies are crucial for developing precise calibration algorithms, ensuring accurate image data, and enabling high-performance vision systems in real-world applications.

What are some common challenges faced by camera calibration software engineers during multi-camera system development?

Camera Calibration Software Engineers often encounter challenges such as ensuring precise alignment and synchronization among multiple cameras, compensating for lens distortions, and dealing with varying lighting conditions. These challenges require strong problem-solving skills and a deep understanding of both computer vision algorithms and hardware limitations. Engineers in this role frequently collaborate with hardware teams and other software developers to fine-tune calibration processes and validate results in real-world scenarios.

What is the difference between Camera Calibration Software Engineer vs Computer Vision Engineer?

AspectCamera Calibration Software EngineerComputer Vision Engineer
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; knowledge of calibration algorithmsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; strong programming skills
Work EnvironmentResearch labs, automotive, robotics, or manufacturing companies focusing on sensor accuracyTech companies, autonomous vehicles, robotics, or AI-focused firms
Industry UsageUsed in industries requiring precise camera calibration for sensor fusion and 3D mappingApplied in image processing, object detection, and scene understanding

While both roles require a background in computer science or engineering, the Camera Calibration Software Engineer specializes in developing algorithms for camera calibration to ensure sensor accuracy. In contrast, the Computer Vision Engineer focuses on interpreting visual data for applications like object recognition and scene analysis. Both roles often collaborate but serve distinct functions within imaging and AI projects.

What are popular job titles related to Camera Calibration Software Engineer jobs?

For Camera Calibration Software Engineer jobs, the most frequently searched job titles are:

Infographic showing various Camera Calibration Software Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 86% Full Time, 9% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $87,099 per year, or $41.9 per hour.

Embedded Camera Systems Engineer (MIPI / ISP / SoC)

Palo Alto, CA • On-site

Other

Medical, Dental, Vision

Posted 23 days ago


Job description

Embedded Camera Systems Engineer (MIPI / ISP / SoC)

Build the low-level camera and imaging systems that power next-generation humanoid and robotic perception. You will work across MIPI CSI-2 cameras, ISPs, FPGA bridges, and embedded SoCs to bring up, calibrate, synchronize, and deploy multi-camera systems at scale. This role sits at the boundary between hardware, kernel drivers, and real-time perception pipelines.

Requirements
  • BS/MS in Electrical Engineering, Computer Engineering, Robotics, or equivalent industry experience
  • Strong experience with embedded Linux camera stacks (V4L2, Media Controller, libcamera)
  • Hands‑on experience bringing up MIPI CSI-2 cameras on SoCs such as RK3588 or Jetson Orin
  • Understanding of MIPI CSI-2, D‑PHY / C‑PHY, lane configurations, and bandwidth constraints
  • Experience with camera sensor drivers, device tree configuration, and kernel debugging
  • Proficiency in Rust and C/C++ for embedded systems and kernel‑adjacent development
  • Experience with camera calibration (intrinsics, extrinsics, stereo, multi‑camera rigs)
  • Comfortable working with oscilloscopes, logic analyzers, and hardware bring‑up tools
  • Strong Linux fundamentals (drivers, DMA, memory, interrupts, power management)
Responsibilities
  • Bring up and validate MIPI CSI-2 camera sensors on RK3588, Jetson Orin, and custom boards
  • Develop and debug camera sensor drivers, ISP pipelines, and device tree configurations
  • Integrate RGB, stereo, and depth cameras into real-time perception pipelines
  • Design and support multi‑camera synchronization and hardware triggering strategies
  • Work with FPGA‑based camera bridges or aggregators when needed
  • Implement and maintain camera calibration pipelines (mono, stereo, multi‑view)
  • Optimize throughput, latency, and stability for high‑resolution and multi‑camera systems
  • Collaborate with perception, SLAM, and hardware teams to ensure end‑to‑end reliability
  • Support manufacturing test, validation, and field diagnostics for camera subsystems
Benefits
  • Competitive salary and meaningful equity
  • Comprehensive health, dental, and vision coverage
  • Work on real robotic systems deployed in the physical world
  • High‑ownership role spanning hardware, kernel, and perception interfaces
  • Opportunity to define the camera architecture for next‑generation humanoid robots
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