Aartificial intelligence, AI Robotic systems, API, Design, Effective communication skills, English Proficiency, Leadership, Machine learning techniques, Mentoring, Planning and organization, Python Programming
THE COMPANY
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.
THE ROLE
The Head of Robotics Software will lead teams that are responsible for delivering the end-to-end performance of our main robotics applications. This role is focused on software but leverages your understanding of AI and hardware. The teams are located in two different geographic locations (Emeryville, CA, USA, and Shenzhen, China). You should be well-versed in English communication and are expected to spend time in both locations. You will lead the team to complete key software milestones involving project planning, development, testing, delivery, and follow-up support. As a leader, you will collaborate with other functions well and serve as a point of contact with other leaders in other offices.
YOU WILL
YOU HAVE
YOU WILL
Base pay is one element of our total rewards package which may also include comprehensive benefits and equity etc., depending on eligibility. The annual base salary range for this position is from $250,000 to $275,000. The actual base pay offered will be determined on factors such as years of relevant experience, skills, education etc. Decisions will be determined on a case-by-case basis.
Covariant is a California-based startup that develops artificial intelligence (AI) software for industrial robotics. The company was founded in 2017 by PhDs from UC Berkeley and Stanford University, and it has raised over $100 million in funding from investors like Lux Capital, Baidu Ventures, and Andreessen Horowitz. Covariant's software uses a combination of deep learning, reinforcement learning, and other AI techniques to allow robots to learn