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Software Engineer Camera Jobs (NOW HIRING)

Camera Systems Software Engineer

San Mateo, CA · On-site

$146K - $153K/yr

Position Overview We are seeking an experienced Camera Systems Software Engineer to own camera integration and enablement for real-time robotic systems built on NVIDIA Tegra platforms. This person ...

Position Overview We are seeking an experienced Camera Systems Software Engineer to own camera integration and enablement for real-time robotic systems built on NVIDIA Tegra platforms. This person ...

Embedded Quality Engineer - Camera

Cupertino, CA · On-site

$162K - $213K/yr

We are looking for an experienced and outcome-driven Embedded Quality Engineer - Camera to ensure that we deliver the best-in-class camera/ISP solution for Apple products! In this role, you will play ...

Engineering Group, Engineering Group > Camera Software Engineering General Summary: Looking for Embedded SW engineers interested in developing software for IoT devices. Specifically, the position ...

This team is seeking a software engineer with a diverse skill set to tackle the myriad software challenges of building a camera simulator. The software engineer will be responsible for the full ...

We are looking for an experienced and outcome-driven Embedded Quality Engineer - Camera to ensure that we deliver the best-in-class camera/ISP solution for Apple products! In this role, you will play ...

Camera Embedded Software Engineer

San Diego, CA · On-site

$139K - $183K/yr

Apple's ISP team is looking for an extraordinary Embedded Software Engineer to drive pioneering technologies for Apple products. As part of the team you will work on core camera and ISP technologies ...

Camera Embedded Software Engineer

San Diego, CA · On-site

$139K - $183K/yr

Apple's ISP team is looking for an extraordinary Embedded Software Engineer to drive pioneering technologies for Apple products. As part of the team you will work on core camera and ISP technologies ...

Showing results 21-40

Software Engineer Camera information

See salary details

$63.5K

$147.5K

$205.5K

How much do software engineer camera jobs pay per year?

As of Aug 7, 2026, the average yearly pay for software engineer camera in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Software Engineer Camera, you need a strong background in computer science, image processing algorithms, and embedded systems, typically supported by a relevant degree. Proficiency with programming languages like C++, Python, and experience with camera SDKs, image signal processors (ISPs), and tools such as OpenCV are commonly required. Excellent problem-solving skills, attention to detail, and effective teamwork elevate performance in this role. These skills ensure the development of high-quality camera features, efficient troubleshooting, and successful integration within complex hardware-software ecosystems.

What does a software engineer camera do?

A Software Engineer Camera specializes in developing and optimizing software for camera systems, often for smartphones, computers, or other imaging devices. Their work involves creating algorithms for image processing, camera control, and feature enhancement such as autofocus, HDR, or low-light performance. They collaborate closely with hardware engineers to ensure seamless integration of camera modules and software. These engineers also troubleshoot issues, enhance user experience, and stay updated with the latest advancements in imaging technology.

How does a software engineer camera typically collaborate with hardware teams?

As a Software Engineer focused on camera systems, you’ll frequently collaborate with hardware engineers to ensure seamless integration of software algorithms with camera sensors and related components. This collaboration often involves joint debugging sessions, regular cross-team meetings, and detailed discussions about hardware specifications and constraints. By working closely with hardware teams, you help optimize performance, troubleshoot issues, and deliver robust camera features. Effective communication and a willingness to learn about hardware nuances are key to success in this role.

What is the difference between Software Engineer Camera vs Software Engineer Embedded?

AspectSoftware Engineer CameraSoftware Engineer Embedded
Required CredentialsBachelor's in Computer Science or Electrical Engineering; experience with image processing and camera systemsBachelor's in Electrical Engineering, Computer Engineering, or related; knowledge of microcontrollers and firmware development
Work EnvironmentDesigning camera software, working with image sensors, and hardware integrationDeveloping firmware for embedded systems, working with hardware components and real-time OS
Industry UsageConsumer electronics, mobile devices, surveillance systemsAutomotive, industrial equipment, IoT devices
Common Search/ComparisonYesYes

Software Engineer Camera and Software Engineer Embedded roles share foundational skills like programming and hardware understanding. However, Software Engineer Camera focuses on image processing and camera hardware integration, while Software Engineer Embedded emphasizes firmware development for embedded systems. Both roles are vital in electronics and tech industries, often overlapping but distinct in their specific hardware and software focus.

More about Software Engineer Camera jobs
What job categories do people searching Software Engineer Camera jobs look for? The top searched job categories for Software Engineer Camera jobs are:
Infographic showing various Software Engineer Camera job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $147,524 per year, or $70.9 per hour.

Camera Systems Software Engineer

Skild AI

San Mateo, CA • On-site

$146K - $153K/yr

Full-time

Re-posted 10 days ago


Job description

Position Overview

We are seeking an experienced Camera Systems Software Engineer to own camera integration and enablement for real-time robotic systems built on NVIDIA Tegra platforms. This person will be responsible for the full camera lifecycle, from defining requirements with external camera partners to integrating, debugging, and maintaining low-latency camera pipelines using the Tegra camera stack.
This is a highly hands-on systems role that sits at the intersection of Linux, camera hardware, real-time software, calibration, synchronization, and high-level software interfaces. The ideal candidate has deep experience bringing up camera sensors, debugging low-level hardware/software issues, working with camera vendors, and building reliable APIs that expose synchronized camera data to perception, robotics, and autonomy systems.

Responsibilities
  • Own camera systems end to end, including vendor requirements, sensor/module selection, hardware bring-up, software integration, debugging, calibration, validation, and long-term maintainability.
  • Work directly with camera vendors and hardware partners to define requirements for custom cameras, including sensors, optics, frame rates, exposure behavior, synchronization, timestamping, calibration needs, mechanical constraints, thermal constraints, and image-quality targets.
  • Develop and maintain low-level camera software, including sensor configuration, camera drivers, device-tree changes, capture-path validation, timestamp handling, metadata handling, and camera control interfaces.
  • Debug camera issues across the hardware/software boundary, including MIPI CSI-2, GMSL or FPD-Link, I2C control, power/reset/clock sequencing, dropped frames, timestamp instability, bandwidth limits, corrupted images, ISP behavior, and sensor-mode configuration.
  • Design reliable, low-latency camera pipelines for real-time robotic systems, with careful attention to buffering, memory movement, CPU/GPU interaction, scheduling, throughput, timing jitter, and dropped-frame behavior.
  • Build clean high-level APIs that expose camera frames, timestamps, metadata, calibration parameters, diagnostics, and health/status information to perception, autonomy, logging, and product software.
  • Collaborate closely with perception, robotics, embedded systems, electrical engineering, and external hardware partners to ensure the camera stack is reliable, observable, and production-ready.
Preferred Qualifications
  • Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, Robotics, Computer Science, or a related technical field.
  • 5+ years of hands-on experience with embedded camera systems, including sensor bring-up, camera module integration, driver-level debugging, and board-level validation.
  • Strong proficiency in C/C++ for Linux or performance-sensitive systems, including multithreading, memory management, profiling, and low-latency software design.
  • Experience with camera interfaces and supporting hardware, such as MIPI CSI-2, I2C, GMSL, FPD-Link, serializers/deserializers, power sequencing, reset sequencing, clocks, and sensor mode tables.
  • Experience developing or modifying Linux camera drivers, device trees, V4L2 drivers, media controller graphs, or similar low-level camera integration components
  • Strong understanding of vision requirements for real-time systems, including timestamping, synchronization, buffering, scheduling, latency measurement, jitter reduction, dropped-frame analysis, and deterministic data delivery.
  • Experience with multi-camera synchronization, hardware triggering, PTP, PPS, camera-IMU synchronization, or other precise timing systems.
  • Working knowledge of image sensors and imaging pipelines, including Bayer formats, RAW capture, YUV/RGB formats, HDR modes, exposure/gain control, white balance, ISP behavior, and image-quality tradeoffs.
  • Proficient with debugging tools and workflows, including kernel logs, tracing, profiling, oscilloscopes or logic analyzers, long-duration test scripts, capture validation tools, and reproducible failure isolation.