Hardware Engineer

• Collaborate with Tristar AI's engineering and deployment teams to define/design vision system hardware requirements based on customer use cases (e.g., lighting, camera specs, structural design, GPU/edge server requirements).

• Evaluate environmental and operational factors such as part speed, ambient lighting, space constraints, and mounting options.

• Recommend optimal hardware configurations including industrial cameras, lenses, lighting systems, compute hardware (e.g., NVIDIA GPUs), and networking equipment.

• Assist with testing, and qualifying hardware for performance and reliability in pilot and production environments.

• Document configuration recommendations, wiring diagrams, and setup guides to support future deployments.

• Participate in customer site visits and hardware validation efforts as needed. Qualifications

Do you have experience in Vision inspection system?, * 5+ years of experience in hardware engineering, systems integration, or solution architecture involving machine vision systems.

• Strong working knowledge of industrial cameras (e.g., FLIR, Basler), lenses, lighting systems, and image acquisition hardware.

• Familiarity with NVIDIA GPUs, edge computing devices, and hardware integration for AI inference.

• Ability to think critically about environmental constraints and optimize hardware setups for real-world manufacturing conditions.

• Experience collaborating with cross-functional technical teams and field engineers.

• Excellent written and verbal communication skills.

Preferred:

• Experience with defect detection, safety or ergonomics-related computer vision deployments.

• Exposure to manufacturing automation systems, PLCs, or industrial network protocols.

Tristar AI is a cutting-edge computer vision startup transforming quality control and safety in manufacturing through scalable, AI-driven defect detection systems. Our technology is deployed on high-speed lines across industries, delivering ROI through accuracy, efficiency, and automation.