Job Description - Software Engineer Internship

Gravis Robotics is a startup that turns heavy construction machines into intelligent and autonomous robots. Our unique combination of learning-based automation and augmented remote control lets one operator safely conduct a fleet of machines—from anywhere in the world. Our team has over a decade of academic experience honing the cutting edge of large-scale robotics, and is rapidly growing to bring that expertise into a multi-billion dollar industry.

About the Job

We are looking for passionate, skilled interns to join our team—and to actively contribute to the development and deployment of extraordinary construction robots. The ideal candidate should be self-motivated, capable of working autonomously and in small teams, and should have a strong desire to solve exciting, challenging, and applied problems.

At Gravis, we engineer solutions at the nexus of hardware and software every day. Your role would likely explore one or more of the following areas (based on experience and interest):

About the Team

The Platform Team is responsible for smoothly orchestrating the software at Gravis. We build the observability, profiling, and infrastructure that let engineers understand and optimize software performance across our entire development fleet, from onboard machines to the cloud services coordinating them.

We partner with teams across the company to investigate issues, eliminate bottlenecks, and establish performance best practices. By strengthening core onboard components and providing tools to quickly detect, diagnose, and resolve regressions, we give the rest of Gravis a solid foundation for running our products at scale and the confidence to ship faster.

What You'll Work On

As a Software Engineer intern, you'll focus on Observability & Monitoring, taking real ownership of tooling that the whole company depends on. Your work includes:

Owning our Prometheus / Grafana / OpenTelemetry stack

Setting clear, measurable targets across critical paths (e.g. terrain streaming, latency measurements, gRPC reliability, etc.)

Building dashboards for machine health, fleet overview, and worksite productivity metrics (e.g. cut/fill volume over time)

Designing the on-call alerting pipeline that connects signals from the Rack all the way to the cloud

Proactively explore and analyze system data to identify trends and anomalies

Requirements

Currently pursuing a degree at a Swiss university

Beneficial Experience (Role Based)

Master’s level study (i.e. in computer science, electrical engineering, robotics)

Experience with C++ and Python

Proficiency with Linux and Git

Experience with gRPC and open telemetry are a plus

Don't meet every requirement? If you're enthusiastic about this role but your experience doesn't match every qualification, we still encourage you to apply. You might be the perfect candidate for this or other positions.

This is an opportunity to join a dynamic and versatile team, and to be part of a young startup that will revolutionize heavy construction. Gravis Robotics offers a fair market salary and a working location in the vibrant city of Zurich. As a forward-facing startup, we understand that work-life balance and flexibility are important considerations for many professionals: If you are a highly qualified candidate with the requisite skills and experience, we encourage you to apply and discuss your preferred working arrangement during the interview process.

Gravis is an equal opportunity employer. We are committed to building an inclusive and diverse team, and do not discriminate based upon race, color, ancestry, national origin, religion, sex, sexual orientation, age, gender identity, gender expression, disability, veteran status, or other legally protected characteristics.

We are an international team that is working to solve problems with a global impact: to facilitate efficient communication and collaboration, proficiency in English is a requirement for all roles.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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Software Engineer Internship