02 Engineering Member of Technical Staff – Software & Infrastructure Winterthur On site

Binabik; Winterthur; On-site; CHF 120,000 - 180,000; Full time

Benefits offered by this job

Pension plan

Comprehensive insurance

5 weeks paid holiday

Hardware access

Career development

Job summary

Binabik AI is seeking a Member of Technical Staff – Software & Infrastructure to help build the software, cloud, and data infrastructure behind our humanoid robots. You’ll work closely with robotics engineers in Winterthur to own core platform components and deliver reliable, scalable tooling.

In this broad role you’ll develop the web UI, Python APIs, cloud training pipelines, and data workflows that move from field data to trained models and deployed robots, with hands-on access to our lab

Qualifications

• 3+ years of professional software engineering on production systems.
• Strong Python skills.
• Cloud and DevOps experience: containers, CI/CD, a major cloud provider, infrastructure as code.
• Depth in at least one of: frontend development (TypeScript, React), data pipelines, ML infrastructure, or software for devices in the field.
• Good engineering practices: testing, code review and clear documentation.
• Interest in robotics and willingness to work closely with physical hardware.

Responsibilities

• Build the web application (React and TypeScript with a Python backend) and the Python API that engineers and integrators use to compose, test and deploy robot programs, including documentation and examples.
• Cloud and training infrastructure: orchestrate simulation and GPU training jobs and set up experiment tracking, a model registry and traceability from data to deployed skill.
• Robot data pipeline: build how multi-modal robot data is recorded, uploaded, versioned and searched, for ad-hoc queries across time.
• Releases and fleet management: own packaging, versioning, CI against simulation and real robots, automated provisioning of new robots, and remote updates for deployed robots.
• Security and on-premise deployment: implement license activation and code protection, review network exposure before robots go to customer sites, and support deployments where data stays on-premise.

Skills

Python

Cloud & DevOps

Frontend (TypeScript/React)

Data pipelines

ML infrastructure

Device software

Testing & documentation

Robotics interest

Tools

ROS 2

MuJoCo

PyTorch

GPU compute

Job description

Build the software, cloud and data infrastructure behind our robots, and the tools customers use to program them.

About Binabik AI

Humanoid robots that run your machines.

Binabik AI builds the software that lets humanoid robots do productive work on the factory floor. Our wheeled humanoids, AgiBot G2 and Galaxea R1 Pro, load and unload CNC lathes and mills, fetch material, carry parts and stack pallets. We focus on machine tending and intralogistics, the repetitive tasks that keep production running and are hard to staff.

Our approach combines proven methods from classical robotics, such as motion planning, perception and control, with recent advances in physical and agentic AI. The classical parts make the system reliable and the AI parts make it adaptable. Teaching a new task takes only a few recorded demonstrations. Binabik Teach captures them, and our Skill Engine breaks the task into reusable skills. Binabik Sim, our custom simulator, then replicates each skill and refines it across variations in parts, positions and environment conditions before it goes to the real machine. A hardware abstraction layer lets skills carry over between robot platforms, and data collected in operation goes back into improving them. Customer data stays on-premise.

We are a ZHAW spin-off with roots at the University of Zurich, the ETH AI Center and MIT. Our founders are experienced robotics and AI researchers who have published over 200 research papers. We are a pre‑seed company finishing our first proofs of concept and moving towards industrial pilots. We plan to grow quickly over the next year, so the people who join now will help shape the product, the culture and the company.

The role

Our robots depend on a lot of software that runs off the robot: Binabik Studio, where users teach, simulate and test robot tasks; the Binabik Development Kit (BDK) and APIs that integrators build on; the cloud services that run simulation and GPU training; the pipelines that move robot data from the field into training; and the release and update processes that keep deployed robots secure and current. As Member of Technical Staff – Software & Infrastructure, you'll build and own parts of this platform.

This is a broad role for software engineers who want to work on a real product with physical hardware. You don't need a robotics background. Where you start depends on your strengths, and you'll work closely with the robotics engineers in our lab in Winterthur.

What you'll do

Depending on your background, you'll work on several of the following areas:

• Binabik Studio and the BDK. You'll build the web application (React and TypeScript with a Python backend) and the Python API that engineers and integrators use to compose, test and deploy robot programs, including documentation and examples.
• Cloud and training infrastructure. You'll orchestrate simulation and GPU training jobs and set up experiment tracking, a model registry and traceability from data to deployed skill.
• Robot data pipeline. You'll build how multi-modal robot data is recorded, uploaded, versioned and searched, so that a request such as "all failed grasps on chrome parts last week" is a single query.
• Releases and fleet management. You'll own packaging, versioning, CI against simulation and real robots, automated provisioning of new robots, and remote updates for deployed robots.
• Security and on‑premise deployment. You'll implement license activation and code protection, review network exposure before robots go to customer sites, and support deployments where customer data stays on‑premise.

What you bring

• 3+ years of professional software engineering on production systems
• Strong Python skills
• Cloud and DevOps experience: containers, CI/CD, a major cloud provider, infrastructure as code
• Depth in at least one of: frontend development (TypeScript, React), data pipelines, ML infrastructure, or software for devices in the field
• Good engineering practices: testing, code review and clear documentation
• Interest in robotics and willingness to work closely with physical hardware

Nice to have

• ROS 2 or other robotics middleware
• Running GPU or simulation workloads at scale (Kubernetes, Slurm, job queues)
• Robotics data formats and tools (MCAP, LeRobot, Foxglove, Rerun)
• On‑premise or edge deployment, device management and OTA updates
• Security for networked devices, software licensing or code protection
• Designing APIs for use by AI agents

The team

Our engineers work on the whole pipeline from demonstration to deployed robot: perception, learned skills, simulation, the on‑robot runtime and the tooling around it. Because the team is small, research and product work happen side by side. The person who trains a skill is often there when it loads a real lathe for the first time.

How we work

• Real hardware, every week. Everything we build is meant to run on our G2 and R1 Pro in the lab, and from there on a customer's shop floor.
• We build the robot software and the tools to develop it. That includes the on‑robot stack, the simulator and the teaching tools. When a tool slows us down, we can fix it ourselves.
• Out of the lab early. We put new capabilities in front of customers quickly and evaluate them in real production settings. Engineers join these deployments, and what they see there shapes what we build next.
• AI‑assisted development. We use coding agents and LLM tools every day, and we care about using them well.

Our stack: Python (backend and most of the robot stack), ROS 2, MuJoCo, PyTorch, GPU compute in the cloud, and React + TypeScript for frontends.

What we offer

• Compensation and early influence: a competitive compensation package. As one of the first employees, you will help shape the product, the company's direction and how we work.
• Hardware access: You'll work hands‑on with our humanoid robots, lab equipment and GPU compute from your first day.
• Career development: Your role can change as you do. Whether you want to specialize technically, take on more responsibility or move into a new area, we will support it.
• Customer and public exposure: You'll take part in customer visits and deployments, and you can represent Binabik at industry events and conferences.
• Team: You'll join colleagues with backgrounds in robotics and AI research who enjoy solving difficult problems and bringing them into practice.
• Benefits: a pension plan well above the legal minimum, comprehensive insurance coverage and 5 weeks of paid holiday.
• Location: Our office at Technopark Winterthur, with the robot lab on site, is a short train ride from Zürich.

Hiring process

1. Introductory call: a short conversation about your background, your goals and what we're building.
2. Technical interview: We go into your experience in depth and work through a problem drawn from our day‑to‑day work. For commercial roles, this step is a case discussion.
3. A day with us: You'll spend a day at our office in Winterthur, see the robots in operation and meet the team.

Binabik AI is an equal opportunity employer. We welcome applicants of every background, gender, age, origin, religion, sexual orientation and disability.