Software Engineer
Job description
Software engineering role at Benetics AI building software systems and machine learning models to make construction more efficient, automated and green. The role involves greenfield algorithmic, scaling and performance work in TypeScript and Python.
At a glance
- Work mode
- Remote · Zürich
- Languages
- English
What you'll do
- Build reliable, performant, and scalable software solutions.
- Follow data-driven experimentation to iterate on features.
- Bring machine learning models for construction process flows.
- Work closely and collaborate with engineers, product managers, designers, and other team members.
- Share expertise, hold tech talks, contribute to design meetings, and enrich our engineering culture.
- Tackle greenfield algorithmic, scaling, and performance challenges.
- Code using primarily TypeScript and Python
What we're looking for
- 2+ years of software engineering experience
- Master's or bachelor's degree (or equivalent) in computer science, mathematics, or related fields (ETH Zurich or equivalent)
- Top-notch software engineering, a curious mind looking to learn constantly, and an empathic style that wants to teach others.
Benefits
- Experienced and powerful team; a start-up without the chaos.
- Quick pacing while paying attention to all the details: we build a delightful, bullet-proof product.
- Performance-driven compensation, including equity.
- A place to learn and develop yourself.
- A once-in-a-generation chance to reshape an industry of crucial importance for humanity and the planet.
- We are hiring the best people around the world and offer visa sponsorship.
Apply
About Benetics AI
Join the fastest-moving company in this space.
Construction is a multi-trillion-dollar industry used by every human across the planet. The team at Benetics (60+ years of engineering experience, 2 founding engineers from Google, and a CEO with a successful exit in tech.) is laser-focused on a vision of understanding each building's DNA: How are people on-site communicating? How was the building constructed compared to what the plan said? How can we automate planning, implementation, logistics, and maintenance into a seamless process flow?
Mission
Understanding each building's DNA to automate planning, implementation, logistics, and maintenance into a seamless process flow, making construction as efficient, quick, automated and green as possible.
Key facts
- 60+ years of engineering experience
- 2 founding engineers from Google
- CEO with a successful exit in tech
- Offers visa sponsorship