# Research Engineer

**Company:** [InLoop Robotics](https://zerogtalent.com/robotics-companies/inloop-robotics)
**Location:** Munich, BY, DE / Munich, Bavaria, DE
**Work mode:** On-site
**Seniority:** Mid
**Employment type:** Full Time
**Salary:** EUR 90K–120K/yr
**Category:** Research
**Listed:** 2026-10-23

[View and apply on Zero G Talent](https://zerogtalent.com/robotics-jobs/inloop-robotics/research-engineer-117576)

## What you'll do

- Train RL controllers for precise assembly tasks
- Build simulation environments and randomization for parallel training
- Close sim-to-real gap for policies on real robot arms
- Combine learned policies with classical control for precision and safety
- Integrate solutions into autonomy stack for fleet deployment

## What you need

- Hands-on RL for robot control, sim-to-real
- Large-scale simulation (Isaac Sim, Isaac Lab, MuJoCo)
- Strong control fundamentals
- Strong Python and PyTorch
- Track record shipping code on real robots or papers

## Job description

InLoop builds warehouse robots that run fully autonomously in customer warehouses today. The fleet is growing quickly, and the demand is huge.

We're hiring a research engineer to make our robots learn precise, contact rich tasks in simulation and carry them over to real hardware. You'll start on robotic assembly and work directly with our CTO.

This is research that ships. What you train runs on real robots in weeks, not years.

**What you'll work on first**

\- **Assembly with RL.** Train reinforcement learning controllers for precise assembly tasks.

\- **Simulation at scale.** Build the environments and randomization to train fast and in parallel.

\- **Sim to real.** Get policies trained in simulation working on our real arms, and close the gap when they don't.

\- **Control.** Combine learned policies with classical control where it makes the robot more precise or safer.

\- **Into the stack.** Bring what works into our autonomy stack so it runs on the fleet.

**What we're looking for**

\- Hands on RL for robot control, trained in simulation and run on real hardware

\- Large scale simulation (Isaac Sim, Isaac Lab, MuJoCo or similar)

\- Strong control fundamentals

\- Strong Python and PyTorch

\- A track record of shipping: code on real robots, papers or open source

**Nice to have**

\- Contact rich manipulation or assembly

\- Vision language action models or imitation learning

\- C++

\- German

**How to apply**

Apply here and include a link to a policy you trained running on a real robot, a paper or a repo. That tells us more than a CV.

## Other open roles at InLoop Robotics

- [Senior Embedded Engineer](https://zerogtalent.com/robotics-jobs/inloop-robotics/senior-embedded-engineer-117572) — Munich, BY, DE / Munich, Bavaria, DE
- [Field and Assembly Technician](https://zerogtalent.com/robotics-jobs/inloop-robotics/field-and-assembly-technician-117575) — Munich, BY, DE / Munich, Bavaria, DE
- [Deployment Engineer](https://zerogtalent.com/robotics-jobs/inloop-robotics/deployment-engineer-117573) — Munich, BY, DE / Munich, Bavaria, DE
- [Head of GTM](https://zerogtalent.com/robotics-jobs/inloop-robotics/head-of-gtm-117581) — Munich, BY, DE / Munich, Bavaria, DE
- [Senior Electrical Engineer](https://zerogtalent.com/robotics-jobs/inloop-robotics/senior-electrical-engineer-117570) — Munich, BY, DE / Munich, Bavaria, DE

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*Source: [Zero G Talent](https://zerogtalent.com), the job board for space, defense, AI, robotics and frontier-tech companies.*