Head of Hardware
Engineering – Hardware /
Our mission is to build the Covariant Brain, a universal AI to give robots the ability to see, reason and act on the world around them. Bringing AI from research in the lab to the infinite variability and constant change of our customer’s real-world operations requires new ideas, approaches and techniques.
Success in the real world requires a team that represents that world: diversity of backgrounds, points of view, and experiences. Our common denominator: ambitious expectations, love of learning, empathy for those around us, and a team-first mindset. Read more about our culture at https://www.keyvalues.com/covariant .
You will be responsible for leading both hardware engineering (ME + EE) and manufacturing functions in China, working closely with other engineering leaders in the company to ideate, design, manufacture and deliver the robotic picking solutions powered by AI.
In addition to technology, you should act as a good bridge between the HW team and other functions, in Shenzhen, Silicon Valley and other deployment & sales teams in the US and Europe.
This is not a remote role and requires full-time presence in Shenzhen, China.
Build an effective R&D process for our AI-driven HW and introduce disciplines into our product development lifecycles, such as BOM tracking, design reviews, etc.
Improve our unit economics and supply chain management. Ready our products for mass production.
Communicate directly and effectively with other leaders and make well-informed strategic decisions collectively.
Work with the Product, Business Development and Solutions teams to refine requirements, break down ambiguous, abstract requirements into concrete technical specifications.
Identify critical gaps in skill set and experiences and fill in the missing to support the rapid expansion of our robotics solutions.
Experience in hardware product lifecycle management and manufacturing automation equipment at scale.
Strategic thinking and the ability to make hard trade-offs between quality and cost/time.
Experience in dealing with complications with oversea deployments (such as shipping, labor cost) and a solid understanding in designing for deployment.
Fluency in English.
Nice to haves
Working experience in international companies in China.
People management experiences in companies with similar values (learning constantly, striving for empathy and taking on the impossible, together).
Experiences working in related fields, such as autonomous driving, AIoT, etc.
A broad range of knowledge base and interests ranging from SWE / AI to HW.
Familiarity with supply chain management.
Flexible working hours
Working from home