Engineer, Supercomputing & Distributed Systems

About Krea

At Krea, we are building next-generation AI creative tools.

We're dedicated to making AI intuitive and controllable for creatives - our mission is to build tools that empower human creativity, not replace it. We believe AI is a new medium that allows us to express ourselves through various formats - text, images, video, sound, and even 3D. We're building better, smarter, and more controllable tools to harness this medium. We recently took this a step forward with the launch of Krea 2 , our first foundation model, built completely from scratch for aesthetic diversity and stylistic control.

We've raised over $83M and are backed by world-class investors such as a16z, Bain Capital, and Abstract. We work full-time and in-person at our waterfront office in San Francisco. We care about creativity: our team includes musicians, designers, visual artists, and engineers.

Supercomputing / AI Infra at Krea

We build and operate the infrastructure for Krea's research and inference. Distributed training, 1000+ K8s GPU clusters, petabyte scale data pipelines, etc. We build a lot of this from scratch — custom distributed datastores, job orchestration systems, and streaming pipelines that replace tools like Kafka and Ray for modern AI workloads at scale.

Example projects:

Distributed data systems

Design multi-stage pipelines that turn petabytes of raw data into clean, annotated datasets

Run classification models on billions of images

Deploy and combine LLMs to caption massive multimedia data

GPU infrastructure

Manage distributed training and inference on 1000+ GPU Kubernetes clusters

Solve orchestration and scaling for large-scale GPU job processing

Scale workloads and research between clusters in multiple datacenters

Distributed training

Profile and optimize dataloaders streaming thousands of images per second

Profile and debug InfiniBand networking on huge training runs

Build fault tolerance systems for large-scale pretraining

Collaborate with researchers on evolving RL infrastructure

Applied ML pipelines

Find clean scenes in millions of videos using distributed shot-boundary detection

Customize and train models to filter billions of images for questions like "is this a screenshot?"

Build the systems that bridge raw cluster capacity and research output

Who we're looking for

Systems people. If you've read a blog post about InfiniBand debugging or building a custom distributed database and thought "I want to do that" — this is that team.

You'll spend your time working heavily with Python, Kubernetes, Torch, and data tools like DuckDB, Arrow, etc. It's OK if you don't have K8s or ML experience — the main thing we hire for is an intuition for distributed systems, and a great mental model of how systems interact and function under different conditions.

Strong candidates may have experience with…

Python, PyArrow, DuckDB, SQL, massive relational databases, PyTorch, Pandas, NumPy…

Kubernetes

Designing and implementing large-scale ETL systems

Fundamental knowledge of containerization, operating systems, file-systems, and networking

Distributed systems design

Distributed training systems (NCCL, InfiniBand, RDMA)

Streaming and event processing systems (Kafka, Pulsar, or similar)

PyTorch internals, custom dataloaders, and training infrastructure

What we offer

Team : Work alongside a world-class team building the future of AI creative tooling

Impact : Significant scope and company-wide impact

Competitive compensation : generous salary & equity packages

Health & wellness : 100% health & 99% dental/vision insurance premiums covered for employees, health FSA accounts, & long-term disability coverage

Time off : Flexible PTO policy

Financial planning : 401k with a 4% company-sponsored match

Meals in the office : breakfast, lunch, dinner - you name it, we'll cover it

Transit : Ubers covered to & from the office

Sponsorship : We're open to sponsoring international visas where we can (e.g., STEM OPT, OPT, H-1B, O-1, E-3).

And more!

Please note the above benefits & perks are for full-time employees