Overview Corporation - Systems Integration Engineer
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Requirements
• ● 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) • ● Experience integrating components into machines with attention to: • ○ tolerances, alignment, vibration, serviceability, cabling, environmental protection, repeatability • ● Comfort in factory environments: commissioning, troubleshooting, and working hands-on • ● Mandarin fluency (native or near-native) • ● Working English for technical collaboration with global teams • ● High ownership mindset: you take problems personally and drive them to closure • STRONG PREFERENCES • ● Experience with high-volume manufacturing lines (electronics, automotive, connectors, battery, packaging, assembly) • ● Experience working with machine builders/integrators and managing design iteration loops • ● Comfort partnering with controls engineers on timing/triggering and line sequencing constraints • Why Overview.ai http://Overview.ai (why top candidates join) • ● Extreme growth + real-world impact: We’re not building demos. We’re deploying AI systems on real production lines, at scale. • ● Talent density: You’ll work with world-class engineers and operators across AI, embedded systems, and enterprise deployment. • ● Front-row seat to the AI manufacturing wave: This is one of the biggest transformations happening in industry right now. • ● Ownership: In this role, your work directly changes the trajectory of the company. Great hiring = winning. • ● Global exposure: You’ll recruit for roles that touch the most advanced customers and factories in the world.
Benefits
• ● 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.
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