Founding Software Engineer

Wwshemi; München; Hybrid; EUR 90.000 - 224.000; Vollzeit

Zusammenfassung

Wwshemi, Munich-based early-stage AI company, seeks a software engineer to own core infrastructure coordinating experiments across distributed laboratories. You will connect AI agents with instruments, build reliable data capture, and support evolving workflows in a hands-on environment.

Join a compact team to design scalable data infrastructure, APIs, and tooling, and to debug across software and hardware layers as we bring cutting-edge AI research into practical lab deployments.

Qualifikationen

• 3+ years building production-grade software end-to-end.
• Proficient in Python or Rust with strong fundamentals.
• Backend and distributed-systems experience with APIs and networking.
• Startup experience as an engineer.
• Ability to own work in ambiguous environments spanning software and hardware.

Aufgaben

• Build systems that schedule and coordinate experiments across distributed laboratories.
• Connect AI agents to experiments and instruments via robust agent infrastructure.
• Design data infra to capture system state, actions, measurements, failures, and provenance.
• Architect distributed systems coordinating software, devices, and experiments.
• Develop APIs and developer tools for new workflows and integrations.
• Debug and optimize systems across software, hardware, and physical environments.

Kenntnisse

Python

Rust

APIs

Distributed systems

Backend development

Startup experience

Jobbeschreibung

This listing's locations On-site - Munich, Bavaria, Germany

Employment Full-time

Workplace On site

Compensation USD 100000–250000 per year

Join an early-stage AI company building software that connects AI agents with real-world laboratory systems. You will own critical infrastructure for coordinating experiments, connecting agents and instruments, and capturing reliable data across physical and software systems.

What You'll Do

• Build systems that schedule and coordinate experiments across distributed laboratories.
• Connect AI agents to experiments and instruments through robust agent infrastructure.
• Design data infrastructure to capture system state, actions, measurements, failures, and provenance.
• Architect distributed systems that reliably coordinate software, devices, and experiments.
• Develop APIs and developer tools for new workflows and integrations.
• Debug and optimize systems across software, hardware, and physical environments.

What We're Looking For

• At least 3 years of experience building production-grade software systems end to end.
• Strong proficiency in Python or Rust, with solid software engineering fundamentals.
• Production backend or distributed-systems experience, including APIs, networking, and asynchronous communication.
• Experience building software as an engineer at an early-stage startup.
• Ability to take ownership in ambiguous environments and debug across software and hardware layers.
• Experience with robotics, physical AI, hardware integration, lab automation, embedded systems, ML infrastructure, data infrastructure, or orchestration systems is a plus. Biology experience is not required.

Base salary: $100,000 to $250,000 USD annually. Visa sponsorship is not available.

Location

On-site in Munich, Germany. Other listed work locations include Zurich, Switzerland, and San Francisco, United States.