Engineer, Supercomputing & Distributed Systems

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified

Salary

Not verified

401(k) match

Not verified

Was this benefit information wrong? Tell us.

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Engineer, Supercomputing & Distributed Systems San Francisco, California, United States About Krea At Krea, we are building next-generation AI creative tools. We are 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. 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

Read the full description at jobs.ashbyhq.com. FewerJobs shows a source-linked preview and links to the original posting.