SDK & platform engineering
Design Python APIs, type-safe energy objects, runtime contracts, packaging, tests and dependable developer primitives.
Energy is becoming more connected, more intelligent, and more programmable. We're building the developer infrastructure that makes those possibilities useful. The work calls for people who enjoy hard problems, clear thinking, and software that earns trust.
A useful energy application needs far more than an AI model. It needs dependable readings, consistent units, trustworthy memory, secure permissions, practical tools, and a way to reason across devices and sites. Building that foundation is our challenge.
Make complex energy concepts approachable through thoughtful interfaces, predictable APIs, examples and composable abstractions.
Design around measurement quality, constraints, traceable calculations, uncertainty and explicit safety boundaries.
Work across data, runtime, intelligent workflows and the developer experience instead of treating each as a separate product.
These are areas of interest for future collaboration and hiring discussions, not advertised job vacancies. We value people who can think deeply across disciplines and turn ideas into reliable tools.
Design Python APIs, type-safe energy objects, runtime contracts, packaging, tests and dependable developer primitives.
Normalize messy device and provider data, handle telemetry failure modes and build extensible integration layers.
Build trustworthy tool use, structured energy memory, forecasting evaluation and constraint-aware optimization.
Reason about authorization, isolation, observability, workflows and safe application deployment.
Make sophisticated systems easier to understand through documentation, examples, tooling and careful interface design.
Connect real developer needs to usable workflows and clear interactions, while keeping the product technically honest.
There are no publicly advertised open positions on this site at present. You can still share your work and interests for consideration as opportunities develop; contacting us does not constitute a job application or guarantee a response.
The kind of work we're pursuing requires curiosity, technical judgment and a willingness to validate assumptions outside a demo environment.
We prioritize the right problem, a clear source of truth and explicit failure conditions over shallow feature volume.
Useful intelligence must respect equipment limits, scoped permissions, trustworthy data and human control.
Readable code, tested integrations, accessible documentation and dependable operations matter as much as new capabilities.
If this kind of work interests you, share what you've built, the problems you like solving and the area you'd want to contribute to. The email link opens your mail application; this website does not collect résumés or personal details.
Share a GitHub profile, portfolio, research, writing or a project that demonstrates your strengths.
Tell us which energy, developer-platform, AI or product challenges excite you.
Reach out to introduce yourself. This is an expression of interest, not a formal hiring process.
No specific vacancies are currently advertised on this website. This page explains areas we may need expertise in and provides an optional way to express interest in future roles.
Yes. A brief introduction with relevant projects and the kinds of problems you enjoy solving is useful. Please avoid sharing confidential employer code or private information.
Work arrangements, location requirements and internship opportunities have not been announced. Any future opening will state its own eligibility, working arrangement and expectations.
No. The general-interest email is an informal introduction and does not create an application record or imply an ongoing recruitment process.
If you care about developer experience, real-world engineering and responsible AI, we'd love to hear what you are working on.