Engineer, Supercomputing & Distributed Systems
KREA · San Francisco
CHECKED 23H AGO
Applied AIonsite
At a glance
Highlights
- Operate 1000+ GPU clusters for research training and inference at scale.
- Build custom distributed datastores and streaming pipelines from scratch.
- Turn petabytes of raw data into clean, annotated datasets for foundation models.
What they offer
- Generous salary and equity packages
- 100% health and 99% dental/vision premiums covered, FSA and disability
- Flexible PTO policy
- 401k with 4% company match
- Breakfast, lunch and dinner covered in the office
- Ubers covered to and from the office
Ideal candidate
Systems thinker fascinated by how large-scale systems behave under stress. You love building infrastructure from scratch and bridging raw cluster capacity into real research output for creatives.
Requirements
- Intuition for distributed systems and how systems interact under different conditions
- Experience with Python, PyArrow, DuckDB, SQL, massive relational databases, PyTorch, Pandas, NumPy
- Experience with Kubernetes
- Experience designing and implementing large-scale ETL systems
- Fundamental knowledge of containerization, operating systems, file-systems, and networking
- Experience with distributed systems design
- Experience with distributed training systems (NCCL, InfiniBand, RDMA)
- Experience with streaming and event processing systems (Kafka, Pulsar, or similar)
- Knowledge of PyTorch internals, custom dataloaders, and training infrastructure
- remote policy
- In-person, full-time
- visa sponsorship
- Open to sponsoring international visas where possible (e.g., STEM OPT, OPT, H-1B, O-1, E-3)
Lab profile
About KREA
Building intuitive, controllable AI creative tools that empower human creativity across image, video, and 3D.
What they build
- Next-generation AI creative tools
Known for
- Image / video diffusion
- Model post-training
- Personalization & recommendation systems
- Supercomputing & distributed systems