Industrial Engineering

Nuvnext; Región Centro; Hybrid; MXN 180,000 - 280,000; Full time

Job summary

Nuvnext Guadalajara is seeking a lab-focused researcher to map and measure processes on site in the plant, warehouse, or yard. You will model flows, test improvements with simulation, and measure results against current operations, contributing to optimization without layers between code and production.

You join founders directly, bringing hands-on analysis and a practical mindset to translate data into operational gains.

Qualifications

• An industrial engineering degree, finished or near finish.
• Willing to be on-site in labs, warehouse or yard.
• You can explain a process to the people who run it.

Responsibilities

• Map and measure processes on site.
• Model flows and capacities inside the ontology.
• Test improvements with simulation and optimization.
• Measure the result against current operations.

Skills

Process mapping

Python

On-site operations

Communication

Education

Industrial Engineering degree

Tools

SQL

Simulation

Job description

Labs Guadalajara · in person and in the field Full time Research

You know how to measure a process: cycle times, bottlenecks, capacity. In Labs you bring that into the ontology and into optimization, so an agent understands how the operation flows before touching it.

The role

• Map and measure processes on site.
• Model flows and capacities inside the ontology.
• Test improvements with simulation and optimization.
• Measure the result against current operations.

Your first 90 days

• Day 30

  You learn Labs and the platform; you join a discovery visit.

• Day 60

  You model a real client process.

• Day 90

  You present a measured improvement.

Stack and tools

Python Simulation SQL

What we look for

Must have

• An industrial engineering degree, finished or nearly finished.
• You like being in the plant, the warehouse or the yard.
• You code in Python or want to learn.
• You can explain a process to the people who run it.

Nice to have

• Process simulation.
• Lean or continuous improvement.
• Logistics.

What working here is like

What you build goes into products that operate real organizations. You work directly with the founders, with no layers between your code and production, under the same rule we give the intelligence: a person signs what is critical.