Lead Robotics Application (Detroit)

Inbolt

Detroit (MI)

On-site

USD 120,000 - 190,000

Full time

14 days+
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Benefits offered by this job

Stock options
401(k) match
Health, dental and vision
Paid vacation
Sick leave
Parental leave
Compensatory leave
Team-building events
Mileage allowance

Job summary

Inbolt seeks a hands-on leader for the US Applications Engineering team, based in Detroit or open to relocation. You will own the US delivery engine, driving deployments from first install to production and mentoring a growing team of application engineers.

You will collaborate with teams in Paris, the US, and Japan, translating field feedback into product requirements and driving reliability and speed in factory deployments worldwide.

Qualifications

  • Minimum 6 years as a field-based robotics or machine vision application engineer.
  • Solid experience coding in Python.
  • Flexible with changing requirements in a fast-paced environment.
  • Strong communication skills; travel internationally.

Responsibilities

  • Lead commissioning and rollouts at customer sites from first install to stable production.
  • Own escalations, root-cause analysis, and permanent fixes with Engineering for production reliability.
  • Build repeatable deployment processes, checklists, documentation, and training for internal teams and partners.
  • Provide customer-facing technical leadership and build trust with plant teams, integrators, OEMs, and automation engineers.
  • Hire, coach, and structure the US Applications Engineering team as volume scales.
  • Turn field learnings into product requirements and measurable improvements.

Skills

Python
Robotics
Machine vision
Customer relationship
Travel internationally

Education

Bachelor's degree in Engineering

Job description

Job Description

Inbolt brings intelligence to industrial robots with real-time 3D vision. This role owns the US delivery engine: faster deployments, higher reliability in production, and a tight feedback loop to product and engineering.

You will be the leader of our US Applications Engineering team (player-coach), responsible for execution in factories and building the processes and team to scale.

Responsabilities
  • Deployment execution: Lead commissioning and rollouts at customer sites, from first install to stable production.
  • Production reliability: Own escalations, root-cause analysis, and permanent fixes with Engineering.
  • Playbooks and standards: Build repeatable deployment processes, checklists, documentation, and training for internal teams and partners.
  • Customer-facing technical leadership: Build trust with plant teams, integrators, OEMs, and automation engineers.
  • Team leadership: Hire, coach, and structure the US Applications Engineering team as volume scales.
  • Field feedback loop: Turn field learnings into product requirements, prioritization inputs, and measurable improvements.
Positions details
  • Start Date: ASAP
  • Location: based in or open to relocate to Detroit, Michigan.
  • Reporting to: Albane Dersy, COO & co-founder

You will work closely with teams in Paris, the US, and Japan, and your work will directly impact deployments in factories worldwide.

Benefits
  • Competitive base salary (75th percentile)
  • Generous Stock-options package of our Series A round
  • 401(k) match
  • Health, dental and vision
  • Paid vacation, sick leave, and parental leave
  • Compensatory leave
  • Team-building events and regular off-sites
  • Mileage allowance
Preferred Experience

Inbolt values end-to-end ownership, high rigor, and a hands-on curiosity. We move fast while staying precise, with a proactive, autonomous, results-driven mindset and strong collaboration with engineering teams.

What Success Looks Like (first 6 To 12 Months)
  • Deployments get faster and more predictable (time-to-production decreases).
  • Fewer site emergencies (lower incident rate, faster MTTR when incidents happen).
  • Higher production reliability (uptime and cycle consistency improve).
  • Engineering gets clear, prioritized feedback with evidence, logs, and reproducible cases.
  • The US team becomes a machine: strong hiring bar, clear ownership, clean process.
Required Skills
  • A minimum of 6 years as a field-based robotics or machine vision application engineer.
  • Solid experience coding in Python.
  • Flexibility with changing requirements in an evolving and fast-paced environment.
  • Strong communication skills
  • Ability to travel internationally.
  • Ability to build strong relationships with customers and other teams within the company.
  • Experience in Industrial Automation, Automotive industrial manufacturing, Computer Vision or similar is a plus
Preferred Experience
  • Strong team spirit and collaboration skills.
  • Excellent problem-solving abilities.
  • Enthusiastic, hands-on approach.
  • Proactive and autonomous with a "get it done" attitude and a drive to exceed objectives.
Recruitment Process
  • First call with Inès
  • Technical interview with Louis
  • Interview with Albane & Rudy
Who are they?

Inbolt is a robotics software company developing a real-time industrial robot guidance solution based on 3D vision and AI. Our mission is to create a vision system for industrial robots that enables robust real-time decision-making for any type of environment.

Our flagship product, Inbolt, is a real-time industrial robot guidance solution designed for ease of use, flexibility, and performance. It can be set up in under 30 minutes, and delivers the lowest latency on the market, instantly transforming 3D data into robot instructions. Whether automating moving lines or static workstations, Inbolt improves productivity and ROI by eliminating expensive fixtures and enabling multi-reference processing, making automation more efficient and cost-effective.

Inbolt integrates a 3D camera with a robotic arm and our proprietary software, Inbolt Studio, allowing seamless implementation for industrial automation.

With €20M raised, we are headquartered in Paris and work with leading automotive industries across Europe and the US. Learn more about us here.

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