Software Engineer, Infrastructure

Direct message the job poster from Imbue

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

Compensation And Benefits

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

Seniority level

Seniority level

Not Applicable

Employment type

Employment type

Full-time

Job function

Industries

Financial Services and Hospitals and Health Care

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

Paid maternity leave

Paid paternity leave

Disability insurance

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