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 earthmoving machines in a gamified environment. 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 trillion dollar industry through active deployments with market leaders.
About the Job
At Gravis, we engineer solutions at the nexus of hardware and software every day: bringing new perception and control technologies onto awesome, autonomous machines. Our Rooftop Autonomous Control Kit (Rack) combines sensors, compute, communication and networking modules toward a manufacturer-agnostic solution that can be applied to a variety of construction machines regardless of type and age. We are seeking a passionate and experienced Data Analytics Intern to join our team for a 6-month duration: you will play a crucial role in setting up our data pipeline and analyzing data from our autonomous excavators. You will work closely with a team of talented engineers to build up our analytics infrastructure and extract insights for engineering and business leaders. We are a team that values collaboration & innovation and contributions are directly visible.
Key Responsibilities
- Design and implement robust data pipelines for collecting, storing, and processing data from autonomous machine operations and simulations
- Set up and maintain data infrastructure, including databases, data warehouses, and ETL processes
- Develop and optimize data models to support analytical and reporting needs
- Collaborate with engineering and business teams to understand data requirements and deliver scalable data solutions
- Automate data-related tasks and build tools to improve data accessibility and usability
- Continuously monitor and improve the performance and reliability of the data pipeline
Required Qualifications
- Completed Bachelor’s degree in Computer Science, or a related field
- Experience with data pipelines, cloud infrastructure and data analysis
- Coding skills in C++ or Python
- Clear communication, strong problem-solving skills, and a collaborative mindset
Preferred Skills
- Experience with SQL databases
- Familiarity with cloud platforms (AWS) and data warehousing
- Fast learner and not afraid to ask questions
- Proactive personality with an urge to deliver high quality outcomes
- Self motivated team player who is up to the challenge of bringing data from construction sites to business insights
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.
