Application Engineer

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 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 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 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.

【Why 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.