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Camera Embedded Engineer Jobs (NOW HIRING)

Apple

Embedded Quality Engineer - Camera

Cupertino, CA

$144K - $263K/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 ...

Axon

Senior Software Embedded Engineer

Seattle, WA · On-site

$141K - $225K/yr

Build the native foundation for edge video and IoT intelligence across Axon Body cameras and ... Senior Software Engineering Manager * Define the native platform architecture for the next ...

Apple Inc.

$144K - $263K/yr

Cupertino, California, United States Hardware 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 ...

Apple Inc.

Embedded Quality Engineer - Camera

Cupertino, CA · On-site

$144K - $263K/yr

Cupertino, California, United States Hardware 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 ...

krg technology inc

Embedded Developer

San Bruno, CA · On-site

Technical Solution Engineer to work with Client OEM Partners to help develop Consumer Electronics ... Proficient with C/C++ * Experience with Audio/Video/Camera, playback and DRM technologies

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All JobsCamera Embedded Engineer Jobs

Camera Embedded Engineer information

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$70K

$153.4K

$174K

How much do camera embedded engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for camera embedded engineer in the United States is $153,383.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What is a camera embedded engineer?

Camera Embedded Engineers are professionals who design, develop, and optimize hardware and software systems for digital cameras and imaging devices. They work on integrating camera modules into electronic products, such as smartphones, automotive systems, and security cameras, ensuring efficient image processing and performance. Their work involves programming low-level firmware, tuning image signal processors, and collaborating with hardware teams to deliver high-quality imaging experiences.

What skills and qualifications are needed to thrive as a camera embedded engineer?

To thrive as a Camera Embedded Engineer, you need a strong foundation in embedded systems, C/C++ programming, image processing, and camera sensor integration, often supported by a degree in electrical engineering or computer science. Familiarity with hardware platforms (such as ARM), real-time operating systems (RTOS), and tools like OpenCV or V4L2, as well as experience with debugging and profiling tools, is typically required. Problem-solving abilities, attention to detail, and effective communication are essential soft skills for collaborating with cross-functional teams and troubleshooting complex issues. These skills ensure robust camera system development, efficient integration, and the delivery of high-quality imaging solutions in consumer and industrial products.

What are common challenges faced by camera embedded engineers when integrating camera modules into new hardware platforms?

Camera Embedded Engineers often encounter challenges such as ensuring compatibility between camera modules and varying hardware architectures, managing power consumption, and optimizing image quality under different environmental conditions. Troubleshooting hardware-software integration issues and fine-tuning camera drivers for real-time processing are also frequent tasks. Collaboration with hardware designers, software engineers, and QA teams is essential to address these challenges efficiently and ensure seamless camera performance in the final product.

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

AspectCamera Embedded EngineerCamera Software Engineer
CredentialsBachelor's in Electrical Engineering, Computer Engineering, or related fieldsBachelor's in Computer Science, Software Engineering, or related fields
Work EnvironmentEmbedded systems development, hardware integration, firmware programmingSoftware development, application programming, system testing
Industry UsageConsumer electronics, automotive, security camerasCamera applications, image processing software, firmware updates

Camera Embedded Engineers focus on designing and developing embedded hardware and firmware for camera systems, working closely with hardware components. Camera Software Engineers primarily develop software applications and algorithms for camera functionalities. Both roles often collaborate but differ mainly in hardware versus software focus.

Are embedded engineers in demand?

Embedded engineers, including those specializing in camera systems, are in high demand due to the growth of IoT devices, consumer electronics, and automotive applications. Skills in programming languages like C/C++, hardware design, and real-time operating systems increase employability in this field.

What are popular job titles related to Camera Embedded Engineer jobs?

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

Infographic showing various Camera Embedded Engineer job openings in the United States as of September 2026, with employment types broken down into 20% Internship, 60% Full Time, and 20% Contract. Highlights an 100% In-person job distribution, with an average salary of $153,383 per year, or $73.7 per hour.

Senior Embedded Engineer - Robotics & Sensor Systems

Arlington, VA • On-site

Quartermaster AI Inc
See more jobs at Quartermaster AI Incexternal

$200K - $220K/yr

Full-time

Posted 12 days ago

Key responsibilities

  • Own and evolve the embedded Linux platform for SmartMast edge devices.

  • Integrate and maintain sensor interfaces across cameras, radar, SDR, AIS, GPS/GNSS, and thermal systems.

  • Build and maintain modular middleware and services (including ROS2-based components) for reliable inter-process and inter-sensor communication.

Job description

About Us
Quartermaster is building the world's most comprehensive maritime intelligence platform. Our SmartMast™ system transforms commercial and civilian vessels into a persistent, distributed sensing network-combining HD video, AI, radar, RF sensing, and AIS to deliver real-time maritime domain awareness at global scale. With 600+ sensors deployed across 25+ countries and more than 400,000 vessels identified outside of AIS, we are setting a new standard for what ocean surveillance and safety can look like. We are a mission-driven, high-velocity team building dual-use technology for defense agencies, coast guards, and commercial maritime operators.
Job Description
The SmartMast™ is a sophisticated, vessel-mounted edge computing platform running a dense software stack on NVIDIA Jetson hardware in maritime environments: salt air, vibration, intermittent connectivity, and real operational pressure. We need a Senior Embedded Linux / Platform Software Engineer who can own the software that runs at the tip of our spear. You will build and maintain the embedded Linux platform that integrates HD cameras, radar, SDR, AIS receivers, GPS, and thermal sensors into a unified, AI-capable sensing system. You will work at the intersection of hardware bringup, ROS2-based sensor middleware, edge inference pipelines, and the cloud connectivity layer that gets data from the vessel to our analysts in near real time. This is complex, meaningful work, and it ships to sea.
Responsibilities
  • Own and evolve the embedded Linux platform for SmartMast edge devices.
  • Integrate and maintain sensor interfaces across cameras, radar, SDR, AIS, GPS/GNSS, and thermal systems.
  • Build and maintain modular middleware and services (including ROS2-based components) for reliable inter-process and inter-sensor communication.
  • Develop and optimize edge AI inference pipelines for detection, segmentation, and classification under real compute and bandwidth constraints.
  • Design and improve edge-to-cloud data paths for latency, resilience, and efficient bandwidth usage in constrained maritime networks.
  • Manage OTA update workflows for fleet-deployed devices, including staged rollout validation and rollback strategies.
  • Debug production issues from field signals/telemetry, drive root-cause analysis, and ship durable fixes quickly.
  • Partner closely with hardware, software, and operations teams to bring systems from lab to vessel deployment.
  • Lead PTZ camera integration decisions spanning lens selection, sensor convergence/alignment, and stabilization tuning, and translate those tradeoffs into measurable improvements in edge ML performance (detection, classification, tracking robustness).

Qualifications
  • Bachelor's degree in Computer Science, Robotics, Electronics, Electrical Engineering, or a related field.
  • 4+ years of experience in software development for robotics, electronics, and embedded systems.
  • Over 4 years of proficiency in Python, C++, and shell scripting. Rust is a bonus.
  • Solid experience with Linux, particularly the Ubuntu flavor.
  • Experience with robotics frameworks such as ROS/ROS2.
  • Experience in mobile/embedded platform development, specifically with NVIDIA Jetson, CUDA, and Yocto.
  • Familiarity with various sensors and hardware, including GPS, IMU, cameras, Radar, and weather sensors, as well as driver development for these devices.
  • Experience with industrial PTZ network cameras and video streaming technologies.
  • Hands-on experience with sensor fusion techniques (Kalman/EKF, particle filters, or learned fusion approaches) across radar, EO/IR, and positioning data.
  • Expertise in developing and deploying AI/ML models for visual tasks, including detection, segmentation, and classification.
  • Experience with OTA update systems and device fleet management at scale.
  • Experience working with cloud infrastructure such as AWS, Azure, and GCP, including cloud-native ingestion services.
  • Solid foundational networking skills, including diagnosing and resolving connectivity issues.
  • Experience with remote access management protocols like SSH and VNC.
  • Problem-solving and results-driven mindset.
  • Flexibility and resilience to thrive in a dynamic environment.
Must-Have Qualifications
  • Strong embedded Linux engineering experience in production environments.
  • Proven sensor integration experience across multiple hardware interfaces and data streams.
  • Strong software engineering fundamentals and robust development practices at scale (testing, observability, reliability, maintainability).
  • Professional experience in Python, C++, and shell scripting.
  • Experience with NVIDIA Jetson or similar edge compute platforms.
  • Experience working in fast-moving, cross-functional teams with high ownership expectations.
  • Solid networking fundamentals and practical remote debugging experience.
  • Authorized to work in the U.S.
Nice to Have
  • Experience with ROS/ROS2 middleware in robotics or autonomy systems.
  • Experience with industrial/network cameras and video streaming pipelines.
  • Deep understanding of PTZ camera system design, including lens/FOV tradeoffs, sensor convergence, and mechanical/digital stabilization, and how these parameters impact ML model accuracy, latency, and false positive/negative behavior in real-world conditions.
  • Hands-on sensor fusion experience (e.g., Kalman/EKF, particle filters, learned fusion) across EO/IR, radar, and positioning data.
  • Experience with OTA/fleet management for distributed edge devices.
  • Familiarity with cloud ingestion pipelines (AWS, Azure, or GCP).
  • Maritime, defense, autonomy, or other mission-critical deployment experience.
Why This Role
  • Hard technical problems at the intersection of embedded systems, AI, and real-world operations.
  • Mission impact with direct relevance to maritime safety and security.
  • Ownership and growth in a fast-growing organization where high-quality work ships quickly.

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