Systems Architect - Camera and Vision Technologies

At Rite-Hite, your work makes an impact. As the global leader in loading dock and door equipment, we design and deliver solutions that keep our customers safe, secure, and productive. Here, you’ll find innovation, stability, and the chance to grow your career as part of a team that’s always looking ahead.

We are seeking a Systems Architect, Camera and Vision Technologies to help build and scale intelligent systems that leverage visual sensing to deliver real‑time awareness, automation support, and customer value in industrial environments.

• Camera and Vision Architecture Strategy – Define and maintain reference architectures, design patterns, and standards for camera hardware, vision pipelines, and edge-based vision processing. Establish common approaches for camera integration, image acquisition, preprocessing, inference pipelines, and data management. Ensure architectural decisions support real‑time operation, scalability, reliability, safety, and security.
• Innovation Leadership – Drive the strategic use of camera and vision technologies to enable safety, productivity, automation, and maintenance use cases. Own a portion of the internal technology radar related to cameras, vision sensors, and visual analytics. Foster responsible, ethical, and transparent use of vision technologies aligned with privacy, cybersecurity, and safety requirements.
• Product and Platform Enablement – Partner with product management and engineering teams to enable vision-based capabilities such as event detection, situational awareness, condition monitoring, and automation support. Guide architectural decisions related to camera selection, optics, illumination, environmental constraints, and edge compute limitations. Promote reuse and consistency of camera and vision components across products and platforms.
• Integration and Interoperability – Define patterns for integration between camera and vision technologies, edge AI/ML solutions, device software, hybrid mobile applications, and enterprise or cloud-based platforms. Ensure solutions support online, offline, and hybrid deployment models common in industrial environments. Promote interoperability with internal systems and approved third‑party technologies.
• Security, Safety, and Quality – Define secure-by-design and safety-aligned principles for camera and vision deployment, including data protection and access controls. Ensure alignment with applicable safety, quality, and industrial cybersecurity standards. Participate in architecture and design reviews to assess risk, resilience, and compliance.
• Technical Leadership and Cross-Functional Collaboration – Collaborate across product management, device and edge software, AI/ML, hardware engineering, manufacturing, service, and mobile application teams. Provide technical leadership, mentorship, and guidance related to camera and vision technologies. Serve as the technical voice for vision-based capabilities in strategic customer conversations and enterprise implementations when appropriate.
• Supervisory Responsibilities – This role does not have direct reports but is expected to provide technical leadership and architectural guidance across multiple teams.

• Education & Experience – Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, Computer Vision, or a related technical field required;
  Master’s degree preferred. 8+ years of experience delivering camera- or vision-enabled systems, with experience deploying solutions in industrial or edge environments. Experience with connected, automated, or safety-critical systems preferred.
• Knowledge / Skill Requirements – Strong understanding of camera systems, optics, image processing, and computer vision architectures. Experience designing vision pipelines that balance performance, latency, accuracy, and environmental constraints. Ability to think systemically across cameras, sensors, edge platforms, AI/ML, mobile applications, and cloud services. Strong communication skills and ability to influence cross-functional stakeholders. Familiarity with industrial automation, safety systems, or vision-based sensing is a plus.
• Leade…