Enact Intelligence · Robotics

Robotic Controls Engineer

  • Zurich (On‑site)
  • Full-time
  • Competitive

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Still open on Enact Intelligence's site · checked just now

Education
Bachelor's degree
Posted
Visa & relocation
  • Enact Intelligence offers visa sponsorship for this job
  • Enact Intelligence offers relocation support for this job

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“Visa sponsorship & relocation benefits to hire the best in the world”
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What you'll do

As written by Enact Intelligence · Read the original

In This Role

You will develop the proprioceptive motion control layer to enable our robots to do high contact manipulation predictably, smoothly, and safely under varied and uncertain conditions.

  • Design and implement model- and learning-based estimation and control algorithms, along with the runtime loops that form the backbone for teleoperation and our AI-driven manipulation, from simulation to the real robot system.

  • Debug and diagnose complex system behaviors spanning the interplay of hardware, software, and algorithms.

  • Own robot bring-up, including validation and refinement of our robot model descriptions (URDF, MuJoCo XML, USD, etc.) for simulation and control, characterizing and adjusting for the sim-to-real gap as needed.

  • Work together with both our hardware team and our AI researchers to continuously assess and push the performance of our full stack robot system

Requirements

What We're Looking For

  • Degree (BSc/MSc/PhD) in Robotics, Mechanical Engineering, or a related field

  • Excellent theoretical and practical grasp of model and learning based whole-body control and state estimation

  • Experience with robot simulation environments (MuJoCo, Isaac Sim, or similar) and robot description files (URDF, USD, etc.)

  • Proven ability to take complex algorithms from concept through hardware integration to production-ready real-time robot software

  • Strong proficiency in Python, complemented by efficient low-level programming skills in Rust or C/C++

Bonus Points If You Have

  • Hands-on experience with tensor and automatic differentiation frameworks such as JAX, PyTorch, CppAD, Burn, or similar.

  • Experience with whole-body force estimation

  • Experience in developing reinforcement learning based robot control

  • Experience in robot safety, including Control Barrier Functions and/or relevant industry certifications.

  • Experience in contact rich manipulation, preferably including teleoperation and interfacing with large behavior models such as VLAs.

Skills

Stack

  • Python
  • C++
  • C
  • Rust
  • PyTorch
  • JAX

Working languages

English

Salary & benefits

What we offer

  • The opportunity to make a real impact working on some of the biggest challenges of our time

  • A fast-paced learning environment alongside an outstanding, driven team

  • Ownership from day one, with the ability to iterate quickly and see your impact firsthand in an early-stage startup

  • Visa sponsorship & relocation benefits to hire the best in the world

  • A world-class in-person setup in central Zürich, with excellent prototyping, robotics, and technical infrastructure for hands-on builders

  • Competitive compensation and meaningful equity participation

Company

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