kekeblom

Witty Machines | Senior Robotics Engineer | Zurich, Switzerland | ONSITE | 100-140k CHF + Equity

We build physically intelligent software that enables industrial robots to perform complex manipulation tasks in the food industry - things that were previously impossible to automate. Our systems combine advanced ML, computer vision, and control algorithms to make robots truly adaptable to real-world variations.

We're looking for a Senior Robotics Engineer to help architect and implement our core technology stack. You'll work directly with industrial robots, design perception and control systems, and help shape our technical direction as an early employee.

Tech stack: Python, C++, ROS, PyTorch, industrial robotics platforms

- Good robotics fundamentals (perception, planning, control)

- 1-2+ years hands-on experience with industrial robots or similar systems

- ML/computer vision experience is valuable

- Must be based in or willing to relocate to Zurich

Why us:

- Work on cutting-edge robotics problems with immediate real-world impact

- Significant equity package

- Shape technical architecture and company direction as an early employee

- Central Zurich office location

Apply: [email protected]

The one thing that is painfully obvious to anyone who has rented an electric vehicle in a foreign country, is that charging those things is close to impossible.

Most charging networks require a specific app, that often can only be downloaded in that country's App Store. If you do manage to download the app for a network, signing up can fail because it requires a local address or phone number. Eventually, you'll find a network that does allow foreigners to sign up, but realize that their closest charger is slower and 10 miles away. Often the chargers will show up as available in the app, but actually not be functional and there is no-one at the site to help, even if it's a gas station. They'll just roll their eyes and say it's not their charger. Call the network.

At least gas you can buy with cold hard cash or by simply swiping your credit card at a gas station. No need to input your pronouns into an app.

A good example how society sometimes regresses on some fronts.

These methods learn directly the radiance, in a way which is not lighting dependent. Therefore they would render the same and shadows are not taken into account. Current methods aren’t able to do this, but maybe some day we might discover methods which could infer and take into account some lighting parameters.

In terms of advice, I would for sure start by adding GPS logging into the app. The app logs the ARKit odometry information, which could be a good starting point, but don't know how well that would perform with all that vibration.

It would for sure be a fun experiment, but I think given the extreme conditions, it might be easier to build a custom SLAM sensor rig with a high-quality IMU and several synchronized cameras.

That sounds awesome. I do some mountain biking myself and have sometimes thought that it would be cool if you could replay your rides in 3D through a sparse SLAM point cloud. Of course it would very hard to run SLAM onboard an MTB as there is so much vibration and changes in lighting.

Even if it was possible from a legislative perspective, European cities are also considerably harder to drive in than American cities that are cars first with wider lanes and clear grid layouts. Most parts of Europe also have more variable weather conditions.

But yeah, it is indeed also sad that Europe does not have a single credible horse in the race.

I live in Zurich and there are several billboards on my residential street.