Senior Hardware Applications Engineer

• Assess manufacturing environments and identify operational, structural, and technical constraints
• Select industrial cameras, lenses, lighting, mounting systems, GPUs, edge servers, and networking equipment
• Develop solutions for camera mounts, enclosures, protective housings, and supporting hardware
• Configure triggering, synchronization, encoders, networking, and edge computing systems
• Test and validate hardware in pilot and production environments
• Troubleshoot hardware, camera, alignment, networking, and system-performance issues
• Create bills of materials, wiring diagrams, configuration documents, and installation procedures
• Participate in customer site assessments, installations, commissioning, and production validation
• Partner with computer vision, software, and deployment engineers

• 5+ years of professional experience in machine vision, hardware engineering, industrial automation, or systems integration
• Direct, hands-on experience deploying industrial cameras in manufacturing environments
• Strong understanding of cameras, lenses, lighting, image acquisition, GPUs, and edge computing
• Experience evaluating factors such as line speed, vibration, ambient lighting, available space, and mounting constraints
• Experience designing or implementing mounts, enclosures, and physical hardware configurations
• Ability to troubleshoot across hardware, networking, cameras, and industrial systems
• Willingness to travel to customer manufacturing sites when required

Candidates whose experience is limited to academic projects, consumer cameras, theoretical optical work, or software-only computer vision will not be considered.

Nice to Have

• Experience with FLIR, Basler, Allied Vision, Teledyne, Cognex, or Keyence systems
• PLC, encoder, sensor, robotics, or industrial network integration
• NVIDIA GPUs and edge computing platforms
• Automated inspection or defect-detection systems
• High-speed manufacturing or production-line experience

• Work with advanced AI and computer vision systems
• Have a direct impact on customer implementations
• Competitive compensation, equity, and relocation assistance
• Join a well-funded company during an important stage of growth, $140000 - $170000 USD per year