Summary
At Imbue, we leverage large amounts of compute to make our small research team more effective. This role is about enabling and supporting those large-scale compute efforts and all of the other software infrastructure that goes into making research a pleasant, seamless experience for the rest of the team, especially as we scale to increasingly higher scale systems.
Example projects
• Build and manage wrapper tools that allow code written for single hosts to scale seamlessly to large GPU clusters.
• Debug distributed exceptions and improve our logging and tracing stack.
• Design improvements to systems that manage secrets, configurations, ongoing jobs, and other stateful components of our software.
• Search out and prototype possible additions to our software stack that can integrate and provide extra leverage to pain points in typical workflows.
• Dig deeply into open-source or third-party code, including C/C++ libraries, to add debugging information or patch in performance improvements.
• Work collaboratively with other members of the team to debug, provide guidance, and design software that is resilient to hardware and networking failures as well as third party tooling issues.
• In summary: make good abstractions so that other engineers on the team can work at a higher level and everything else works seamlessly.
You are
• A good software engineer. We are strong adherents of "infrastructure as code", so you will be writing (and reading) lots of Python, bash, etc.
• Passionate about enabling other engineers and creating good tooling for developers to interact with infrastructure in an automated way.
• Experienced enough with dev ops to be properly opinionated. You should understand the trade-offs of various approaches and technologies, and not be dogmatically tied to a single tool.
• Careful and detail oriented. We do science and care deeply about the correctness of the results. Our infrastructure reflects this--we highly value robustness and ensuring that systems run reliably and correctly.
Compensation and Benefits
• Work directly on creating software with human-like intelligence.
• Generous compensation, equity, and benefits.
• $20K+ yearly budget for self-improvement: coaching, courses, conferences, etc.
• Actively co-create and participate in a positive, intentional team culture.
• Spend time learning, reading papers, and deeply understanding prior work.
• Frequent team events, dinners, off-sites, and hanging out.
• Compensation packages are highly variable based on a variety of factors. If your salary requirements fall outside of the stated range, we still encourage you to apply. The range for this role is $170,000–$350,000 cash, $10,000–$2,000,000 in equity.
How to apply
All submissions are reviewed by a person, so we encourage you to include notes on why you're interested in working with us. If you have any other work that you can showcase (open source code, side projects, etc.), certainly include it! We know that talent comes from many backgrounds, and we aim to build a team with diverse skillsets that spike strongly in different areas.
We try to reply either way within a week or two at most (usually much sooner).
Learn more about our full interview process here.
About us
Imbue builds AI systems that reason and code, enabling AI agents to accomplish larger goals and safely work in the real world. We train our own foundation models optimized for reasoning and prototype agents on top of these models. By using these agents extensively, we gain insights into improving both the capabilities of the underlying models and the interaction design for agents.
We aim to rekindle the dream of the *personal* computer, where computers become truly intelligent tools that empower us, giving us freedom, dignity, and agency to pursue the things we love.
Top Skills
What We Do
We build AI systems that can reason, in order to enable AI agents that can accomplish larger goals and safely work for us in the real world. To do this, we train foundation models optimized for reasoning. On top of our models, we prototype agents to accelerate our own work, seriously using them in order to shed light on how to improve the underlying model capabilities, as well as the interaction design for agents.
We aim to rekindle the dream of the *personal* computer—for computers to be truly intelligent tools that empower us, giving us freedom, dignity, and agency to do the things we love.