Mechanical Engineering Intern, Sanctuary AI
January - August 2026
+ Equity stakes
Human-like intelligence robotics
Job no longer available
Human-like intelligence robotics
101-200 employees
Job no longer available
+ Equity stakes
101-200 employees
Company mission
To create the world’s first human-like intelligence in general-purpose robots at a time that is right to make it happen.
Role
Who you are
- The best candidates for this role have excellent problem-solving skills and hands-on experience with building robotic or mechatronic systems
- Pursuing a Bachelor’s degree in Mechanical/Mechatronics Engineering or graduated within the last two years
- Experience using OnShape or another CAD tool
- Experience with complex mechanical or mechatronic systems
- Excellent practical skills, including assembly, soldering, and use of hand/power tools
- Ability to manage and utilize 3D printers
- Knowledge of electrical circuits and components
- Foundational skills in coding and data analysis
- Experience with mechanical component selection
- Experience with engineering drawings
- Excellent problem-solving and communication skills
- Excellent organizational and process documentation skills
- Above all else, a consistently positive attitude and a willingness to do whatever it takes to create robust solutions to complex problems
- Eager to take on new challenges with tenacity and positivity
- Patience, persistence, and attention to detail when resolving performance issues
- A passion for engineering and building things
- Enthusiasm for bringing human-like intelligence to machines
What the job involves
- Reporting to the Robotics lead, you’ll gain a comprehensive understanding of our cycle testing, mechatronics, and mechanical engineering activities
- Ultimately, you’ll be a valued resource as you support the design/build process of our robotic systems, collaborate with other teams to test multiple components, and maintain and update prototype hardware features
- You'll bring hands-on experience in understanding and designing our robotics hardware, printing experimental parts, devise and carry out testing, and present results/suggest improvements
- Gain cutting edge career experience as you design and build cycle testing hardware, work with engineers to create a test plan, write cycle testing software, analyze and organize test data, and work on streamlining and modularizing testing setup
- Achieve company-wide visibility as you partner with leaders and engineers to improve our robotics hardware, and participate in a variety of impactful robotics and hardware related projects projects
- Expand your engineering skills as you work on mechanical and mechatronics design, drawings, BOMs, testing, manufacturing, assembly instructions, and more
Our take
Sanctuary has set itself the ambitious task of developing human-like intelligence in general-purpose robots, intending to complement the human labor market - and eventually helping humans settle in outer space. Its robots are modelled on the size and shape of humans, and their cognitive architecture is based on the subsystems of the human brain. The hope is that this puts the so-far elusive artificial general intelligence (AGI) in closer reach.
It’s a challenging mission, but the Sanctuary team have remarkable expertise and experience. Before Sanctuary, the founders launched deep tech robotics company Kindred with backing from the likes of Google and Bloomberg Beta. Whilst it was eventually bought out by Ocado, Sanctuary was designed to pick up where Kindred’s early research left off.
Some critics suggest that Sanctuary’s technology isn’t anything new - just yet. Nor has any company promising AGI (including Tesla) offered up material results. There’s also some question as to whether AGI, technologically glamorous though it may be, is better than highly specialised systems. If it can be done, however, there’s no doubt it’ll prove a remarkable deep-tech breakthrough.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
81% employee growth in 12 months
Company
Funding (2 rounds)
Dec 2022
$30m
GRANT
Mar 2022
$58.5m
SERIES A
Total funding: $88.5m
Company HQ
Mount Pleasant, Vancouver, BC
Leadership
Geordie Rose
(CEO)A Doctor of Theoretical Physics, who subsequently founded and served as CTO of quantum computing systems and software company D-Wave Systems, before moving on to co-found Kindred.ai.
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