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Description

Lead the software architecture for our industrial camera systems, blending expertise in embedded systems, AI integration, and robust security mechanisms. In this role, you'll design comprehensive software solutions spanning from user interfaces to low-level drivers, working with cutting-edge NXP i.MX8 processors and RISC-V architectures to create high-performance vision systems.

This position offers the opportunity to shape the next generation of industrial vision systems by bridging sophisticated software architecture with advanced hardware capabilities.

Key Responsibilities

1. Architect advanced user interfaces including ONVIF support, web-based camera controls, and remote management systems
2. Design and implement robust security systems with authentication and encryption for industrial cameras
3. Train and integrate AI models using frameworks like TensorFlow and PyTorch for sophisticated vision processing
4. Support development of low-level drivers and kernel modules optimized for NXP i.MX8 and RISC-V platforms
5. Optimize image signal processing pipelines for real-time industrial applications
6. Collaborate with hardware engineers to ensure software compatibility with specialized components
7. Develop high-performance real-time applications for embedded Linux environments
8. Create maintainable, object-oriented software using C++ and Python
9. Conduct thorough troubleshooting and root-cause analysis during development phases

Requirements

Core Qualifications

1. Experience: 10+ years total, with 5+ years in software architecture for embedded systems or industrial cameras
2. Education: Bachelor's degree or higher in Computer Science, Electrical Engineering, or Embedded Systems
3. Location: Mansfield, MA (on-site position, no remote option)
4. Technologies: C++, Python, Embedded programming

Technical Requirements

1. Expert knowledge of embedded software development for NXP i.MX8 and RISC-V architectures
2. Advanced proficiency in object-oriented C++ and Python for embedded and AI applications
3. Demonstrated experience with AI model training and integration using modern frameworks
4. Kernel-level programming expertise and device driver development for embedded Linux
5. Practical experience with industrial protocols including ONVIF, RTSP, and various interfaces
6. Strong understanding of real-time processing techniques and performance optimization

Preferred Qualifications

1. Knowledge of industrial hardware design constraints (thermal management, EMI, vibration tolerance)
2. Experience with FPGA-based vision processing acceleration
3. Background in cloud integration for Industrial IoT applications
4. Expertise in implementing secure boot mechanisms for high-security camera systems