Enact Intelligence · Robotics
Robotic Controls Engineer
- Zurich (On‑site)
- Full-time
- Competitive
AI roleMachine LearningTrains models
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”
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
Last checked . The details above were extracted automatically; the employer's original posting is the authority.