About Gravis Robotics
Gravis Robotics is a high-growth Series A start-up backed by SoftBank, bringing Physical AI to the construction industry, turning heavy construction machines into autonomous robots.
Gravis began as an ETH Zurich spin-out, and 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.
Backed by deep robotics research and now deployed across multiple countries with leading construction and equipment partners, our team is rapidly growing to bring this technology to a trillion-dollar industry.
The Gravis RACK is a machine-agnostic retrofit kit that adds autonomy to excavators and wheel loaders from 10 to 100+ tonnes: LiDAR and camera sensing, GNSS RTK, networking hardware and rugged edge compute that works offline. Paired with the Slate tablet and our Copilot software, it lets an operator run a machine manually, with AI assistance, or fully autonomously.
About the Role
We are looking for a manufacturing quality engineer to own the quality and reliability of the Gravis hardware package that turns regular excavators into awesome, autonomous machines. You will work with our engineering and production team in Zurich defining and implementing quality measures like incoming inspections, supply chain validations, failure analysis and product return teardowns to enable our custom AI hardware a safe and reliable operation of heavy machines. You are capable of working both independently and with others, and are intrinsically driven to solve challenging applied problems with a rigorous attention to detail and an exploratory imagination.
You are our first quality hire. There is no dedicated quality team, no lab, and no playbook; you will design the test / fixture / process and then go build it.
What you will do
- Define what hardware quality means for Gravis from ground up
- Design and implement testing systems, jigs and fixtures from incoming inspection to product shipping
- Document failures, root causes and mitigations, build a failure database and review regularly with design and production
- Teardown and analysis of field returns, drive corrective actions
- Own supplier quality: first article inspection, qualification, audits, and 8D follow-through
- Tighten drawings and specifications; critical characteristics, unambiguous acceptance criteria
- Help building our long-term reliability and environmental test strategy as we scale
What we're looking for
- A university degree in mechanical, electrical, quality Engineering or equivalent practical experience
- 3+ years experience in quality / manufacturing engineering in low volume manufacturing
- Hands on failure analysis and teardowns
- CAD knowledge for designing fixtures
- Experience in hand metrology
- Solid understanding of mechanical and electrical systems
- Good command of English, both written and spoken
Beneficial Skills
- Experience in GD&T
- Experience in SQL / python
- Exposure to environmental / accelerated lifetime testing (e.g. vibration, shock, ingress, UV)
- Fluency in Mandarin
- Off-highway, agricultural, mining or other harsh-environment equipment
This is an opportunity to join a dynamic, multidisciplinary team and to be part of a company that is reshaping heavy construction.
Gravis is an equal opportunity employer. We are committed to building an inclusive and diverse team, and do not discriminate based on race, colour, ancestry, national origin, religion, sex, sexual orientation, age, gender identity, gender expression, disability, veteran status, or other legally protected characteristics.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.
