Alljoined

Data Infrastructure Engineer

San Francisco

Sponsorship not specified$140k-$180kDetected 130 days ago

PythonRustC++AWSGCPAzureMachine LearningDeep LearningTensorFlowPyTorchData EngineeringComputer VisionEmbedded SystemsResearchCommunication

About the role

You will be powering our foundational model training by bridging the gap between physical neuro hardware and our central repositories, working alongside world-class researchers to ensure they have a high-throughput, low-latency pipeline straight to the GPUs.
Have built and maintained high-performance ETL pipelines capable of processing, buffering, and storing terabytes of daily unstructured data.
Are comfortable architecting, provisioning, and maintaining bare-metal local compute clusters, storage servers, and high-speed networking for intensive ML workloads.

Our goal is to develop a general consumer interface to completely transform how we can live our lives.
As a Data Infrastructure Engineer, you will build the backend and hardware architecture that allows us to do high-quality and fast research.
Options for housing support

Have 3+ years of production software engineering experience with deep expertise in systems-level architecture and languages like Python, Rust, C++, or Go.

$140,000 - $180,000/year
While this represents our expected range based on market data, final compensation will be determined based on your specific skills and experience and may be outside this range.

Competitive equity compensation at a seed stage startup
Health insurance
We apply deep learning research to large scale EEG datasets to decode multimedia input, eventually moving to internal thought.

We are state-of-the art in capabilities and are fully vertically integrated.
We are actively growing our founding engineering team to build the underlying infrastructure that makes this ambitious future a reality.

This listing is sourced directly from Alljoined's careers page and normalized into a canonical job model.