Lead Robotics Application (USA)
Inbolt
•
Detroit, MI
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0
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Not Applicable
Posted April 17, 2026
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Responsibilities
Commitments
Responsibilities
- 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.
- 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.
- 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.
Commitments
Start Date: ASAP
Location: based in or open to relocate to Detroit, Michigan.
You will work closely with teams in Paris, the US, and Japan, and your work will directly impact deployments in factories worldwide.
Team-building events and regular off-sites
Fewer site emergencies (lower incident rate, faster MTTR when incidents happen).
Ability to travel internationally.
Reference check
Not Met Priorities
What still needs stronger evidence
Requirements
- 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.
- First call + Python session (Google Colab) with Max
Preferred Skills
- Experience in Industrial Automation, Automotive industrial manufacturing, Computer Vision or similar is a plus
- 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.
- Ownership end-to-end, high standards, speed with precision, and people who build systems, not heroics.
Education
- (Required) – A minimum of 6 years as a field-based robotics or machine vision application engineer.
Job Description
Position 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
Why this role exists
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.
What you will own
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.
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.
What We Value
Ownership end-to-end, high standards, speed with precision, and people who build systems, not heroics.
Recruitment process
First call + Python session (Google Colab) with Max
Technical interview with Jean
Interview with Albane
Cultural Fit interview with a Rudy and Louis
Reference check
Who are they?
Inbolt is a pioneering robotics software company specializing in real-time industrial robot guidance solutions powered by 3D vision and AI. Our mission is to develop a vision system for industrial robots that enables robust, real-time decision-making in any environment.
Our flagship solution, Inbolt, integrates a 3D camera mounted on a robotic arm with our proprietary software, Inbolt Studio. This combination allows clients to train and integrate our AI with their robots, enabling the 3D camera to perceive and interact with its work environment seamlessly.
We proudly collaborate with leading automotive & other manufacturing industries across Europe and the US (Stellantis, Ford, Beko, Airbus, etc). With a total of €20M in funding, we are expanding our team and are currently hiring for multiple positions, including software engineers, developers, and sales roles, available as full-time jobs and internships.
Headquartered in Paris, France.
Position 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
Why this role exists
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.
What you will own
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.
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.
What We Value
Ownership end-to-end, high standards, speed with precision, and people who build systems, not heroics.
Recruitment process
First call + Python session (Google Colab) with Max
Technical interview with Jean
Interview with Albane
Cultural Fit interview with a Rudy and Louis
Reference check
Who are they?
Inbolt is a pioneering robotics software company specializing in real-time industrial robot guidance solutions powered by 3D vision and AI. Our mission is to develop a vision system for industrial robots that enables robust, real-time decision-making in any environment.
Our flagship solution, Inbolt, integrates a 3D camera mounted on a robotic arm with our proprietary software, Inbolt Studio. This combination allows clients to train and integrate our AI with their robots, enabling the 3D camera to perceive and interact with its work environment seamlessly.
We proudly collaborate with leading automotive & other manufacturing industries across Europe and the US (Stellantis, Ford, Beko, Airbus, etc). With a total of €20M in funding, we are expanding our team and are currently hiring for multiple positions, including software engineers, developers, and sales roles, available as full-time jobs and internships.
Headquartered in Paris, France.