Forward Deployed Engineer

We build industrial AI where the work happens. Our edge vision systems plug into real workplaces. They help teams spot risk early act fast and keep people and goods moving. Safety is part of the job not an add-on. We think long term about how factories and DCs should run in ten years and ship tools that move that future into the present.

What we actually do:

Build fast reliable models that understand complex physical environments. Package them into plug-and-play workflows that teams adopt in hours not months. Close the loop from hazard signal to action to measurement to improvement on live floors

Forward Deployed Engineer

You help us get edge AI running in real factories and warehouses then keep it working. You meet the team watch how the work actually happens sketch a simple plan build a prototype try it on site and adjust. When something breaks you fix it. You write things down so the next install is easier.

One week youre on the floor at 7am. observing how things operate. Next you tighten a flow end to end: detect track time alert then sit with their team to see if you actually solve the problem. You tune it until its boring and reliable. You work with backend frontend and research teams share what you learned and turn the field fix into something we can reuse.

There is no playbook. You will help write it and scale deployments across regions.

About you:

• Practical problem solver who enjoys real-world constraints and still ships
• Customer-facing by default; you turn vague goals into crisp scopes and success criteria
• Comfortable testing developing and validating edge AI flows on site with the users
• Clear communicator with technicians in the morning and exec team in the afternoon
• You have built and deployed products end to end ideally in startups
• Collaborative; you share context teach learn and iterate with feedback
• Strong plus: past founder or early builder who has owned outcomes front to back
• Nice to have not required: computer vision or edge systems experience; background in manufacturing logistics or industrial settings.
  

  What you will work on:

• Edge AI for safety and operations: detect hazards track interactions time exposure and verify fixes
• Turn signals into actions with evidence and simple feedback loops that crews trust
• Generalize field work into reusable modules playbooks and product improvements

  
  

  What will impress us

• Proof you reduced risk or improved a flow in the real world
• Links to tools dashboards or deployments you shipped
• Hobbies or obsessions you have taken to the next level

  Background:

• 1 years of relevant post-college work experience
• Strong engineering background preferred in fields such as Computer Science Mathematics Software Engineering Physics and Data Science
• Strong coder with shown proficiency in programming languages such as Python TypeScript/JavaScript React or similar
• Ability and interest to travel up to 30% as needed to client sites