System Integration Engineer
OverviewShanghai, ChinaPosted 9 March 2026
Tech Stack
Job Description
System Integration Engineer
ABOUT OVERVIEW.AI http://Overview.ai
Overview.ai http://Overview.ai is bringing the cutting edge of AI computer vision to manufacturing—solving inspection problems that were previously not solvable with traditional machine vision. We’re a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.
We’re growing extremely fast. Our customers love the product because it works—high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible (not just pilots).
This role is for a mechanically strong systems integrator: someone who can look at a machine design and immediately see what will work, what will fail, and what will create headaches six months later. You will own the mechanical integration of our camera + lens + lighting into automation machines, review CAD, guide machine builders, and ensure deployments are robust, serviceable, and scalable.
You are still an Overview.ai http://Overview.ai applications engineer—meaning you’ll be on-site, you’ll solve real production problems, and you’ll make sure the system delivers value every day.
WHY THIS ROLE IS EXCITING
- You influence real machine design: You’re not “installing hardware.” You’re shaping how machines are built so AI inspection works reliably for years.
- High leverage engineering: A great integration decision can prevent months of field issues—vibration, misalignment, access problems, cable failures, contamination, poor serviceability.
- Work at the frontier: Integrating edge AI cameras into high-speed automation is still new. You’ll help set the standard.
- Talent density + fast feedback loops: You’ll work with world-class AI, embedded, firmware, and product teams—and your field learnings directly change the product and deployment playbooks.
- High travel + high autonomy: You’ll be trusted to represent Overview.ai http://Overview.ai at customer sites and with machine builders.
WHAT YOU’LL OWN
MECHANICAL INTEGRATION
- Own the mechanical integration of camera + lens + lighting into customer automation machines:
- mounting design, stability, alignment, adjustability, service access, environmental protection, cable routing/strain relief
- Review machine builder CAD (2D/3D) and sign off on designs that meet Overview.ai http://Overview.ai integration standards.
- Provide direct, practical feedback to machine builders to improve designs before metal is cut:
- reduce vibration sensitivity, protect optics, ensure repeatable alignment, avoid thermal drift, improve maintainability
- Specify integration requirements and best practices:
- mounting interfaces, bracket designs, tolerances, datum strategy, access clearances, protective enclosures, contamination management
- Anticipate long-term failure modes and design them out:
- loosening fasteners, wear points, cable fatigue, lens contamination, shock/vibration, misalignment, fixture flex
- Own commissioning readiness: ensure mechanical design supports stable triggering, repeatable imaging, and rapid service.
FIELD APPLICATIONS ENGINEERING (PRODUCTION OUTCOMES)
- Support new line deployments and maintain/optimize systems already installed at customer sites.
- Diagnose issues that look “AI” but are actually mechanical/system integration problems:
- intermittent image quality, drift over time, vibration blur, occlusion, part presentation variability, contamination
- Train customer teams and machine builders on integration best practices and basic troubleshooting.
- Document field learnings and turn them into repeatable standards, checklists, and reference designs.
WHO YOU ARE
REQUIRED
- Strong mechanical/systems integration background in automation equipment or industrial machines
- Ability to read and review machine design CAD and provide actionable design feedback (SolidWorks/Creo/AutoCAD or similar)
- ... (truncated, view full listing at source)
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