Software Engineer, Infrastructure

Staff Software Engineer, Infrastructure – Weights & Biases

Join to apply for the Staff Software Engineer, Infrastructure – Weights & Biases role at Weights & Biases

Core Weave, the AI Hyperscaler™, acquired Weights & Biases to create the most powerful end‑to‑end platform to develop, deploy, and iterate AI faster. Since 2017, Core Weave has operated a growing footprint of data centers covering every region of the US and across Europe, and was ranked as one of the TIME
100 most influential companies of 2024. By bringing together Core Weave’s industry‑leading cloud infrastructure with the best‑in‑class tools AI practitioners know and love from Weights & Biases, we’re setting a new standard for how AI is built, trained, and scaled.

The integration of our teams and technologies is accelerating our shared mission: to empower developers with the tools and infrastructure they need to push the boundaries of what AI can do. From experiment tracking and model optimization to high‑performance training clusters, agent building, and inference at scale, we’re combining forces to serve the full AI lifecycle — all in one seamless platform.

Weights & Biases has long been trusted by over 1,500 organizations — including AstraZeneca, Canva, Cohere, OpenAI, Meta, Snowflake, Square, Toyota, and Wayve — to build better models, AI agents and applications. Now, as part of Core Weave, that impact is amplified across a broader ecosystem of AI innovators, researchers, and enterprises.

As we unite under one vision, we’re looking for bold thinkers and agile builders who are excited to shape the future of AI alongside us. If you're passionate about solving complex problems at the intersection of software, hardware, and AI, there's never been a more exciting time to join our team.

At marimo, we’re on a mission to make the world’s best open‑source programming environment for working with data, together with a world‑class, scalable, and performant cloud‑hosted counterpart. Marimo is a reinvention of the Python notebook — it feels like a next‑gen reactive Python notebook, but is stored as pure Python that can be versioned with Git, deployed as a data app, run as a script, and reused as a module.

Incubated initially with scientists at Stanford, marimo is now used by leading companies, labs, and universities around the world, with millions of downloads since launch and over 17,000 stars on our Git Hub repository.

On the marimo team, we believe that the tools we use shape the way we think — better tools, for better minds. If you're passionate about developer tools, thrive in ambiguity, enjoy solving challenging engineering problems at scale, and yearn for greenfield problems, you'll fit right in.

The molab team develops a cloud‑hosted marimo notebook service called molab
. Molab lets anyone in the world experiment with data, build interactive apps, and share their work for free, all using the open‑source marimo notebook and accelerated by AI‑assisted coding. This is a high impact team and product, undergoing rapid growth and working on many challenging greenfield problems — with an emphasis on building highly available, low latency and fault tolerant systems.

As a staff engineer on marimo's core open source team, you will co‑design and implement the backend architecture of molab, solving for high availability, low latency (both the ability to rapidly spin up and spin down notebook kernels on demand, as well as low latency communication between the notebook frontend and backend), stability, and fraud and abuse. You will design molab to run on Core Weave's specialized kubernetes‑based clusters and integrate with Core Weave object storage, and will solve for keeping utilization of GPUs high.

• 8+ years of experience in software engineering
• Strong fundamentals that are language agnostic
• Expertise in computer systems, including parallel computing (threading, multiprocessing), concurrency (asynchronous programming), networking/inter‑process communication
• Experience with containerization, container orchestration (kubernetes), scheduling, networked file systems, resource allocation, distributed systems, and cloud…