Co-Founder & Head of Data Science / Lead ML Engineer

Building the digital asphalt for tomorrow's cities

We are developing next-generation infrastructure to help cities make data-driven decisions. Our mission is to optimize urban spaces and reduce emissions—achieved entirely without cameras.

The Problem

Cities are building advanced digital services, but the physical infrastructure on our streets remains blind. Every day, billion-dollar decisions regarding urban planning and mobility are made based on outdated assumptions and manual measurements. This leads to inefficiently used spaces and increased CO2 emissions.

The Solution

We are building "the digital asphalt." Our battery-powered mmWave sensors and Edge Computing gather structured data on flows in real-time. By using radar technology instead of cameras, the system is completely anonymous. Data is integrated seamlessly into the existing systems of municipalities and operators.

What we are looking for

We are looking for a

Co-founder \& Head of Data Science / Lead ML Engineer

to join us as the technical pillar responsible for the "intelligence" of our system. You will be the bridge between raw sensor signals and actionable urban insights.

• Data Architect:

Design the cloud-native infrastructure to receive, clean, and transform massive streams of raw sensor data.

• Signal Processing \& ML:

Deep understanding of signal processing to filter noise and build models that categorize objects (cars, bikes, pedestrians) in real-time.

• Data-Driven Mindset:

Build the entire pipeline that turns raw data into structured, high-value intelligence.

• Entrepreneurial Spirit: You want to be a founder, not just an employee. Ready to share the risks and the rewards of an early-stage startup.

What we offer

• Co-founder Status:

True partnership and a seat at the table from day one, completing our technical triad.

• Significant Equity: Up to 13% ownership

(subject to a standard 4-year vesting schedule with a 1-year cliff).

• Autonomy:

You choose the tech stack for our data environment and build the engineering culture you’ve always wanted.