Canvas is bringing automation to the construction industry. Our mission is to leverage technology to empower current trade workers to be dramatically more productive and free from repetitive, physically taxing, and dangerous tasks. Our small but growing team has spent the past two years engineering and developing a brand new type of machine. Now, we are deploying on commercial job sites.
We are a Series B startup, and this position will not only have a lot of impact on our processes but also on our culture. There is tremendous room for growth and we are looking for someone who is a strong communicator, flexible, accountable, inclusive, and eager to learn.
This person will play a key role in defining how robots behave on a construction site by guiding algorithm development and implementation for our robotic construction platform. You will be responsible for the creation and deployment of behaviors from concept through implementation and testing. This includes researching state-of-the-art approaches, early prototyping, integration into the software stack, and debugging on the hardware. As a member of the robotics team you will have visibility across the engineering units and effectively coordinate debugging efforts on the full system.
A main focus of this position will be implementing planning and control algorithms for a robot manipulator. A person in this role can expect to be an individual contributor for one to two years as we continue to grow the team.
Who You Are:
Experience with path planning and kinematics on robot arms
Hands-on experience writing software to control physical systems
3+ years of industry experience building and delivering production code
Strong linear algebra skills
C++ and Python in a Linux environment
Software fundamentals (i.e., iteration, data structure, object oriented programming, bits and bytes)
5+ years of robotics engineering experience, not counting university classes
Preferably, experience developing production navigation technologies
Preferably, experience bringing up and debugging new hardware
Preferably, experience integrating new sensing/state estimation methods
What You'll Do
Develop and integrate robot arm manipulator technology, from path planning algorithms to higher level behaviors
Work closely with the rest of the team, supporting other areas of development
Testing new algorithms and code on the hardware
Identify issues with the platform and coordinate with the engineering team during the debugging and revision process
Why You Should Join Canvas
Autonomy and support to grow into your career at a growing startup
Excellent benefits, including fully covered medical, vision, and dental
The ability to work in a sweet office in SF with some pretty cool robots
And of course the opportunity to work with some of the coolest people working on those robots in the Bay Area!
Safety at Canvas Construction is a top priority. We are committed to providing safe working conditions for all our employees. While not all employees are out in the field, we know how important it is to provide proper training, protocols and PPE to all employees. Upon hire all employees are provided with steel-toe boots and safety training in their professional settings. Additionally, employees are also expected to employ best practices to maintain safety and ensure that their workspaces are clear of potential dangers.
This role operates primarily in a professional office environment. This role routinely uses standard office equipment such as computers, phones, printers and monitors. This is largely a sedentary role; however, some ability to move laptops, open cabinets and bend or stand as necessary is required.
Canvas is an Equal Opportunity Employer - we do not discriminate in hiring, promotions, or any other way on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.