Videology Industrial-Grade Cameras
Lead Embedded Software Engineer
Videology Industrial-Grade Cameras, Mansfield, Ohio, United States, 44904
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Lead Embedded Software Engineer
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Videology Industrial-Grade Cameras 3 weeks ago Be among the first 25 applicants Join to apply for the
Lead Embedded Software Engineer
role at
Videology Industrial-Grade Cameras Get AI-powered advice on this job and more exclusive features. Description
Join our team as an Embedded Software Engineer focused on developing advanced Linux device drivers, video AI applications, and streaming solutions. This is a senior-level, hands-on role that combines system-level architectural ownership with deep involvement in embedded software development. You'll work on the frontier of embedded systems, designing software for complex hardware platforms and implementing cutting-edge video technology. This role is located in Mansfield, MA and offers the opportunity to work at the intersection of hardware and software, creating sophisticated embedded systems with advanced video processing capabilities. You will also guide contributions from internal and external teams, driving quality and consistency across global design workflows. Description
Join our team as an Embedded Software Engineer focused on developing advanced Linux device drivers, video AI applications, and streaming solutions. This is a senior-level, hands-on role that combines system-level architectural ownership with deep involvement in embedded software development. You'll work on the frontier of embedded systems, designing software for complex hardware platforms and implementing cutting-edge video technology. This role is located in Mansfield, MA and offers the opportunity to work at the intersection of hardware and software, creating sophisticated embedded systems with advanced video processing capabilities. You will also guide contributions from internal and external teams, driving quality and consistency across global design workflows.
Please Note: This is a senior-level position requiring 10+ years of experience in embedded software design in embedded Linux. Applicants without substantial hands-on design experience will not be considered.
Key Responsibilities
Develop and maintain device drivers for NXP i.MX8 and RISC-V platforms Design optimized video AI and streaming applications for industrial camera systems Implement video processing solutions using OpenCV and GStreamer frameworks Optimize real-time video processing pipelines for performance and reliability Create object-oriented C++ applications for embedded Linux environments Work with cross-compilation tools including CMake and Yocto Develop and refine interfaces for multiple protocols (DSI, MIPI-CSI2, RGMII, PCIe, USB 3, I2C, CAN) Test and integrate specialized hardware like Hailo AI accelerators and LVDS-to-MIPI converters Enhance web interface back-end functionality Evaluate and implement AI models for real-time video analytics Utilize Git for version control and collaborative development Debug complex software issues using GDB and other specialized tools Create applications compliant with ONVIF protocols for IP camera systems
Requirements
Core Qualifications
Experience: 10+ years in embedded software Education: Bachelor's degree or higher in Computer Science, Electrical Engineering, or related field Location: Mansfield, MA (on-site position, no remote option) Technologies: Python, C++, Embedded C, Embedded Linux, Yocto
Technical Requirements
Hands-on experience with NXP i.MX8 family processors and Yocto Practical knowledge of video processing chips and RISC-V/ARM microprocessors Advanced C++ programming skills with object-oriented design expertise Proficiency with OpenCV, GStreamer, and video processing techniques Experience with CMake and cross-compilation Advanced knowledge of Embedded Linux systems Solid understanding of software architecture principles Experience with Git workflows and pull request management Strong debugging skills, particularly with GDB Familiarity with camera technologies and video processing systems
Preferred Qualifications
Experience implementing ONVIF standards for security cameras Knowledge of AI accelerator platforms (Hailo, NVIDIA Jetson)
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Computers and Electronics Manufacturing Referrals increase your chances of interviewing at Videology Industrial-Grade Cameras by 2x Get notified about new Embedded Software Engineer jobs in
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Lead Embedded Software Engineer
role at
Videology Industrial-Grade Cameras 3 weeks ago Be among the first 25 applicants Join to apply for the
Lead Embedded Software Engineer
role at
Videology Industrial-Grade Cameras Get AI-powered advice on this job and more exclusive features. Description
Join our team as an Embedded Software Engineer focused on developing advanced Linux device drivers, video AI applications, and streaming solutions. This is a senior-level, hands-on role that combines system-level architectural ownership with deep involvement in embedded software development. You'll work on the frontier of embedded systems, designing software for complex hardware platforms and implementing cutting-edge video technology. This role is located in Mansfield, MA and offers the opportunity to work at the intersection of hardware and software, creating sophisticated embedded systems with advanced video processing capabilities. You will also guide contributions from internal and external teams, driving quality and consistency across global design workflows. Description
Join our team as an Embedded Software Engineer focused on developing advanced Linux device drivers, video AI applications, and streaming solutions. This is a senior-level, hands-on role that combines system-level architectural ownership with deep involvement in embedded software development. You'll work on the frontier of embedded systems, designing software for complex hardware platforms and implementing cutting-edge video technology. This role is located in Mansfield, MA and offers the opportunity to work at the intersection of hardware and software, creating sophisticated embedded systems with advanced video processing capabilities. You will also guide contributions from internal and external teams, driving quality and consistency across global design workflows.
Please Note: This is a senior-level position requiring 10+ years of experience in embedded software design in embedded Linux. Applicants without substantial hands-on design experience will not be considered.
Key Responsibilities
Develop and maintain device drivers for NXP i.MX8 and RISC-V platforms Design optimized video AI and streaming applications for industrial camera systems Implement video processing solutions using OpenCV and GStreamer frameworks Optimize real-time video processing pipelines for performance and reliability Create object-oriented C++ applications for embedded Linux environments Work with cross-compilation tools including CMake and Yocto Develop and refine interfaces for multiple protocols (DSI, MIPI-CSI2, RGMII, PCIe, USB 3, I2C, CAN) Test and integrate specialized hardware like Hailo AI accelerators and LVDS-to-MIPI converters Enhance web interface back-end functionality Evaluate and implement AI models for real-time video analytics Utilize Git for version control and collaborative development Debug complex software issues using GDB and other specialized tools Create applications compliant with ONVIF protocols for IP camera systems
Requirements
Core Qualifications
Experience: 10+ years in embedded software Education: Bachelor's degree or higher in Computer Science, Electrical Engineering, or related field Location: Mansfield, MA (on-site position, no remote option) Technologies: Python, C++, Embedded C, Embedded Linux, Yocto
Technical Requirements
Hands-on experience with NXP i.MX8 family processors and Yocto Practical knowledge of video processing chips and RISC-V/ARM microprocessors Advanced C++ programming skills with object-oriented design expertise Proficiency with OpenCV, GStreamer, and video processing techniques Experience with CMake and cross-compilation Advanced knowledge of Embedded Linux systems Solid understanding of software architecture principles Experience with Git workflows and pull request management Strong debugging skills, particularly with GDB Familiarity with camera technologies and video processing systems
Preferred Qualifications
Experience implementing ONVIF standards for security cameras Knowledge of AI accelerator platforms (Hailo, NVIDIA Jetson)
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Computers and Electronics Manufacturing Referrals increase your chances of interviewing at Videology Industrial-Grade Cameras by 2x Get notified about new Embedded Software Engineer jobs in
Mansfield, MA . Embedded Firmware Engineer (Boston, MA - Hybrid)
Software Development Engineer II (ADBL181)
Cambridge, MA $143,700.00-$194,400.00 1 week ago Senior Embedded Software Engineer - Verification Lead
Massachusetts, United States $86,900.00-$192,460.00 3 weeks ago Cambridge, MA $75,000.00-$150,000.00 1 week ago Providence, RI $120,000.00-$180,000.00 3 weeks ago Cambridge, MA $75,000.00-$150,000.00 1 week ago Embedded Systems Engineer - Payload Integration
Medical Robotics - Embedded Software Engineer
Engineer: Sr. Embedded Firmware Engineer (Rust and C)
Taunton, MA $127,241.00-$136,000.00 1 month ago Franklin, MA $80,000.00-$110,000.00 2 months ago Cambridge, MA $82,300.00-$205,750.00 1 week ago Senior Embedded Software Engineer, Maritime Division
Quincy, MA $168,000.00-$252,000.00 1 week ago Staff Software Engineer, Embedded Applications (R3331)
Boston, MA $166,410.00-$249,616.00 3 days ago Cambridge, MA $82,300.00-$205,750.00 1 week ago Taunton, MA $121,458.00-$134,000.00 17 hours ago Embedded Software Engineer, Connectivity/Wireless - Reality Labs
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Boston, MA $141,000.00-$225,600.00 5 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr