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Camera Isp Image Processing Jobs in Austin, TX (NOW HIRING)

Develops and executes test plans for camera modules, sensors, lenses, image signal processing, firmware, mechanical integration, and complete imaging systems. Evaluates camera performance using ...

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Camera System Software Engineer Description - HP Poly is seeking aCamera System Software Engineerto ... Hand-on experience with image-processing Hands-on experience with USB, Gadgets or HDMI drivers Work ...

Hands-on ISP Tuning & IQ Validation: Take ownership of the image quality (IQ) on the actual robot ... Implement and rigorously measure the hardware-level synchronization across cameras, LiDAR, and IMUs.

Hands-on ISP Tuning & IQ Validation: Take ownership of the image quality (IQ) on the actual robot ... Implement and rigorously measure the hardware-level synchronization across cameras, LiDAR, and IMUs.

Hands‑on ISP Tuning & IQ Validation: Take ownership of the image quality (IQ) on the actual robot ... Implement and rigorously measure the hardware-level synchronization across cameras, LiDAR, and IMUs.

Camera equipment provided * Career advancement with opportunities for promotion * Annual review ... Follow company processes to ensure accurate image processing and workflow completion * Work ...

... camera designs, manufacturing automation, and the firmware that enables all of these devices ... FPGA hardware design for time sensitive systems such as image processing, high-speed data ...

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Camera Isp Image Processing information

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How much do camera isp image processing jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for camera isp image processing in Austin, TX is $22.29, according to ZipRecruiter salary data. Most workers in this role earn between $20.00 and $24.52 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a camera ISP image processing engineer?

To excel as a Camera ISP Image Processing Engineer, you need a solid background in image processing algorithms, signal processing, and a relevant degree in electrical engineering, computer science, or a related field. Proficiency with programming languages such as C/C++, Python, and tools like MATLAB or OpenCV, along with experience in camera sensor tuning, is commonly required. Strong analytical thinking, problem-solving skills, and effective teamwork are crucial soft skills in this technical role. These capabilities ensure innovative image quality solutions and seamless integration of camera technologies in consumer devices.

What is the difference between Camera Isp Image Processing vs Camera Firmware Engineer?

AspectCamera Isp Image ProcessingCamera Firmware Engineer
CredentialsKnowledge of image processing algorithms, computer vision, and embedded systemsEmbedded systems, C/C++ programming, hardware integration
Work EnvironmentFocus on image quality, sensor data, and real-time processingDevelops firmware for camera hardware, including low-level control
Industry UsageCamera manufacturers, smartphone companies, automotive vision systemsCamera hardware companies, consumer electronics, automotive
Search & Comparison IntentUnderstanding image processing roles in camera systemsDeveloping and optimizing camera firmware

Camera Isp Image Processing specialists focus on enhancing image quality through algorithms and sensor data analysis, while Camera Firmware Engineers develop the low-level software that controls camera hardware. Both roles are essential in camera development but differ in their technical focus and responsibilities.

What is a camera ISP image processing engineer?

A Camera ISP (Image Signal Processor) is a specialized hardware unit or software pipeline in digital cameras and smartphones that processes raw image data captured by the camera sensor. A Camera ISP Image Processing Engineer is responsible for developing and optimizing algorithms that enhance image quality, such as noise reduction, color correction, auto exposure, white balance, and sharpening. They work closely with hardware and software teams to ensure that images and videos captured by devices are clear, vibrant, and true to life. Their role is critical in achieving high-quality imaging in products like smartphones, surveillance cameras, and automotive systems.

What are common challenges faced by professionals working in camera ISP image processing roles, and how can they be addressed?

Professionals in camera ISP Image Processing roles often encounter challenges such as optimizing image quality under varying lighting conditions, managing sensor noise, and ensuring real-time processing performance. These challenges require a strong understanding of both hardware constraints and image processing algorithms. Collaboration with hardware engineers and software developers is crucial to balance image quality with resource efficiency. Continuous learning and staying updated with the latest advancements in computer vision and ISP techniques also help in overcoming these challenges.

What are popular job titles related to Camera Isp Image Processing jobs in Austin, TX?

For Camera Isp Image Processing jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Camera Isp Image Processing jobs in Austin, TX look for?

The top searched job categories for Camera Isp Image Processing jobs in Austin, TX are:

What cities near Austin, TX are hiring for Camera Isp Image Processing jobs?

Cities near Austin, TX with the most Camera Isp Image Processing job openings:

Senior Linux Kernel & Driver Engineer - Automotive Systems

RTL2 Fernsehen GmbH & Co. KG

Austin, TX • On-site

Other

Posted 9 days ago


Job description

Job Description

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to [Austin, TX] three times per week, at minimum [or other frequency dictated by the business if more than 3 days].

Role Details

General Motors is seeking a highly skilled and experienced professional to join our team as a Staff Software Engineer, Linux Kernel & Driver Development. As a global leader in the automotive industry, General Motors is committed to delivering high-quality vehicles that exceed customer expectations. This role will be instrumental in the bring-up of next‑generation automotive computing platforms, focusing on Linux kernel development, device drivers, low‑level system integration, diagnostics, and health monitoring for our in‑vehicle infotainment and embedded systems.

Responsibilities
  • Develop and enhance Linux kernel and device drivers, including those for camera sensors, display interfaces, multimedia subsystems, and networking (WLAN, LAN, BLE, BT5.0).
  • Lead system bring‑up activities, including bootloader configuration, camera pipeline initialization, board support package (BSP) development, and low‑level debugging.
  • Integrate and optimise hardware components, including USB, PCIe, I2C‑connected peripherals, and Ethernet interfaces to ensure seamless operation within our embedded software stack.
  • Develop and implement diagnostics and health monitoring solutions, ensuring system reliability, predictive maintenance, and fault detection in critical automotive systems.
  • Analyse and troubleshoot low‑level system issues, particularly in camera interfaces (MIPI‑CSI, ISP bring‑up), high‑speed data buses, and network connectivity.
  • Support manufacturing and production processes, including hardware validation, firmware flashing, and end‑of‑line testing to ensure smooth integration of software into production vehicles.
  • Work closely with hardware teams to validate and debug platform issues, ensuring optimal hardware‑software interaction.
  • Contribute to upstream Linux kernel development and work with open‑source communities where applicable.
  • Define Objectives and Key Results (OKRs) and work towards continuously improving software stability, performance, and maintainability.
Qualifications
  • Bachelor's degree in electrical engineering or a related field, or work equivalent experience.
  • 8+ years of experience in embedded Linux kernel development, device driver programming, and board bring‑up.
  • Expertise in Linux kernel internals, including memory management, scheduling, file systems and IPC mechanisms.
  • Experience in camera bring‑up, including MIPI‑CSI, ISP tuning, V4L2 framework and image processing pipelines.
  • Strong experience with BSP development, bootloaders (e.g., U‑Boot) and firmware integration.
  • Deep knowledge of communication protocols such as USB, PCIe, I2C, SPI and MIPI‑CSI.
  • Experience with Ethernet interfaces (WLAN, LAN) and network protocols (BLE, Bluetooth 5.0).
  • Proficiency in diagnostics, health monitoring and fault detection for embedded systems.
  • Familiarity with manufacturing and production support, including hardware validation, firmware flashing and end‑of‑line testing.
  • Proficiency in low‑level debugging tools (e.g., JTAG, GDB, ftrace, kdump, perf).
  • Experience with SoC architectures and hardware interaction at the register level.
  • Knowledge of power management techniques, security frameworks and real‑time optimisations in Linux‑based systems.
  • Strong problem‑solving skills and the ability to analyse complex system issues across software and hardware domains.
  • Excellent communication skills with the ability to work effectively in cross‑functional teams.
Preferred Qualifications
  • Bachelor's degree in electrical engineering or a related field. Advanced degree preferred.
  • 8+ years of experience in embedded Linux kernel development, device driver programming and board bring‑up.
  • Expertise in Linux kernel internals, including memory management, scheduling, file systems and IPC mechanisms.
  • Experience in camera bring‑up, including MIPI‑CSI, ISP tuning, V4L2 framework and image processing pipelines.
  • Strong experience with BSP development, bootloaders (e.g., U‑Boot) and firmware integration.
  • Deep knowledge of communication protocols such as USB, PCIe, I2C, SPI and MIPI‑CSI.
  • Experience with Ethernet interfaces (WLAN, LAN) and network protocols (BLE, Bluetooth 5.0).
  • Proficiency in diagnostics, health monitoring and fault detection for embedded systems.
  • Familiarity with manufacturing and production support, including hardware validation, firmware flashing and end‑of‑line testing.
  • Proficiency in low‑level debugging tools (e.g., JTAG, GDB, ftrace, kdump, perf).
  • Experience with SoC architectures and hardware interaction at the register level.
  • Knowledge of power management techniques, security frameworks and real‑time optimisations in Linux‑based systems.
  • Strong problem‑solving skills and the ability to analyse complex system issues across software and hardware domains.
  • Excellent communication skills with the ability to work effectively in cross‑functional teams.

This job may be eligible for relocation benefits.

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

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We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role‑related assessment(s) and/or a pre‑employment screening prior to beginning employment. To learn more, visit How we Hire.

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