Senior Embedded Software Architect

Videology Industrial-Grade Cameras; Mansfield (OH); On-site; USD 120,000 - 180,000; Full time

Job summary

A leading company in industrial-grade cameras seeks a Senior Embedded Software Architect to lead software architecture for innovative camera systems. This pivotal role involves designing solutions for high-performance vision systems using cutting-edge hardware and technologies. The ideal candidate will possess extensive experience in embedded software, AI integration, and be ready to shape the future of industrial vision.

Qualifications

• 10+ years in software architecture for embedded systems or industrial cameras.
• Expert knowledge of embedded software development for NXP i.MX8 and RISC-V architectures.
• Advanced proficiency in object-oriented C++ and Python.

Responsibilities

• Architect advanced user interfaces with web-based controls and remote management.
• Design robust security systems for industrial cameras.
• Train and integrate AI models for vision processing.

Skills

C++

Python

Embedded programming

AI integration

Security mechanisms

Education

Bachelor's degree in Computer Science

Bachelor's degree in Electrical Engineering

Bachelor's degree in Embedded Systems

Tools

TensorFlow

PyTorch

ONVIF

RTSP

Job description

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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.

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

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

Requirements

Core Qualifications

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

Technical Requirements

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

Preferred Qualifications

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

Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Videology reserves the right to revise job duties as business needs evolve.

InTEST Is An Equal Opportunity Employer Committed To Creating An Inclusive Workplace Environment. All Qualified Applicants Will Receive Consideration For Employment Without Regard To Their Race, Creed, Color, Ancestry, Religion, Sex, National Origin, Citizen Status, Age, Sexual Orientation, Gender Identity, Disability, Marital Status, Family Medical Leave Status, Or Protected Veterans’ Status. For More Information Regarding Your (EEO) Rights As An Applicant, Please Visit The Following Website

http://www1.eeoc.gov/employers/upload/eeoc_self_print_poster.pdf

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

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