If Sentimech gets in touch, bring your curiosity, your questions and a piece of work you understand.
Prepare, not perform.
Bring the thinking behind the work.
This is a preparation guide for a possible conversation, not a list of vacancies or a prescribed interview process. Confirm the actual format and expectations with the person who contacts you.
Headquartered in Toronto, Ontario, Canada. Operating in Tokyo, Hong Kong, Dubai, Tel Aviv, and London. Our current focus is enterprise Super Intelligence harnesses; humanoid field deployment is the future direction.
01 / Before the conversation
Depth over rehearsal.
01
Choose one piece of real work.
Pick something you can explain deeply. Frame the problem, separate your contribution from the team’s, and describe an alternative you rejected. Bring a non-confidential sketch or example, not a polished claim without evidence.
02
Make your reasoning inspectable.
Clarify the objective and constraints before solving. Put assumptions on the page, compare a small number of approaches, and explain what would change your mind. A useful question is better than a concealed uncertainty.
03
Practice in an existing system.
Read unfamiliar code, a schematic or a process diagram. Reproduce a small issue, isolate the cause, then explain how you would validate a change. The point is a traceable line from observation to evidence.
04
Prepare for a two-way conversation.
Read the current enterprise-harness story and the future field-robotics direction. Ask about the problem, the other disciplines involved and the open questions. Listen to a new constraint and revise your approach explicitly.
Use these suggestions to make a real conversation more useful. Confirm expectations with the person who contacts you; this is not a prescribed interview loop.
02 / Make it concrete
A question worth working through.
Choose a familiar discipline, then examine the boundary with another. Use these questions to practise making assumptions explicit and explaining what you would test.
Software & model integration ↗
A model gives inconsistent results after an interface changes. What would you inspect first? Separate evidence from assumptions, propose the smallest useful test, and explain how you would know whether the issue is in the model or the integration.
Mechanical & electrical context ↗
A simulated assembly works, but a maintenance task appears inaccessible. Sketch the affected interfaces and list what you would ask mechanical and electrical specialists before changing anything. Describe the limits of what your sketch proves.
Process & operating feedback ↗
Improving one step makes the overall process slower. Draw the handoffs, queues and feedback delays. What observation would help distinguish a local improvement from a system-wide one?
Then change one assumption.
Ask a colleague to add a constraint. Explain what still holds, what breaks, and what you would test next. Clear communication includes being able to revise a plausible first answer.
03 / Optional reading
Ideas worth questioning.
Choose what interests you. No purchase or completed reading list is expected. These are optional perspectives to discuss, not an ideological test, recruitment syllabus or statement of company positions.
The linked Foundation volume is a starting point for the series. Think about prediction, institutions and long time horizons. Where does an aggregate model stop explaining individual choices?
Consider how digital spaces, language and physical institutions interact. A vivid imagined interface is a starting point for questions, not a specification.
An accessible route into the behaviour of physical structures. Use it to practice explaining a load path or a failure mode without hiding behind jargon.
Explore where a system should simplify, where services should separate, and how reliability, security and operations shape architectural decisions.
04 / Practicalities
Know what to expect. Ask what you need.
When contacted, confirm the format, time zone and any tools or material requested. Ask about accessibility needs or adjustments early, and avoid sharing confidential work.
Your conversation checklist
Keep the essentials in view as you prepare.
Make room for a useful exchange.
Clarify what is being asked before choosing an approach. State an assumption when information is missing.
Explain an alternative you considered, the tradeoff you made and a small test that could disprove your answer.
Ask about the actual work, its constraints and the people involved. A conversation should help both sides understand the fit.
This page collects no candidate information and does not accept applications. Your checklist marks stay in this page only.