> Markdown version of [/jobs/ext/239951-data-infrastructure-engineer](https://www.wearedevelopers.com/jobs/ext/239951-data-infrastructure-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Infrastructure Engineer - **Company:** Alljoined Inc. - **Location:** San Francisco, CA, United States - **Experience:** Experienced - **Salary:** $140,000.0 - $180,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Microsoft Azure, C++ (Programming Language), Databases, Data Infrastructure, Extract Transform Load (ETL), Data Loss, FFmpeg, InfiniBand, Python (Programming Language), OpenCV, Tensorflow, Software Deployment, Data Streaming, Unstructured Data, Video Editing, Rust (Programming Language), Graphics Processing Unit (GPU), Pytorch, Deep Learning, Backend, Bare Metal, Vertica, Data Pipelines - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=50efdf614dfcf77b ## About the Role * Have 3+ years of production software engineering experience with deep expertise in systems-level architecture and languages like Python, Rust, C++, or Go. * 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. * Have a background in handling continuous, highly concurrent data streams from heterogeneous hardware peripherals without data loss. * Are capable of working across hybrid environments to define storage topologies, manage databases (TimescaleDB, ClickHouse), and sync massive datasets between on-premise edge servers and the cloud (AWS/GCP/Azure). * Enjoy owning the entire technical lifecycle of infrastructure, from optimizing low-level I/O bound operations to production deployment. Strong candidates may have * A deep understanding of modern ML frameworks (PyTorch/TensorFlow) and know how to build datasets that maximize and saturate GPU utilization. * Experience managing networking for distributed GPU training (InfiniBand, RoCE) or optimizing zero-copy networking and shared memory. * Built infrastructure involving programmatic video processing (FFmpeg, GStreamer, OpenCV) ## Description Alljoined is creating a future where humans are fully understood and augmented by technology. Our work solves the communication bottleneck between humans and computers by decoding thoughts from the brain, entirely non-invasively. 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. Our goal is to develop a general consumer interface to completely transform how we can live our lives. We are actively growing our founding engineering team to build the underlying infrastructure that makes this ambitious future a reality., As a Data Infrastructure Engineer, you will build the backend and hardware architecture that allows us to do high-quality and fast research. You'll be owning our entire data lifecycle, from building pipelines that process massive multimodal datasets (video, audio, text, time-series) to provisioning and managing both cloud and bare metal compute clusters we use to train on it. 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. ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Deepfakes in Realtime - How Neural Networks Are Changing Our World](https://www.wearedevelopers.com/videos/180-deepfakes-in-realtime-how-neural-networks-are-changing-our-world) - [AI vs Recruiters and Applicants, Turmoil in the Games Industry, What to Put on a CV](https://www.wearedevelopers.com/videos/1363-ai-vs-recruiters-and-applicants-turmoil-in-the-games-industry-what-to-put-on-a-cv) - [WebAssembly Revolution: Elevating JavaScript's Reach and Performance](https://www.wearedevelopers.com/videos/1149-webassembly-revolution-elevating-javascript-s-reach-and-performance) - [Unboxing the DeepFace](https://www.wearedevelopers.com/videos/335-unboxing-the-deepface) - [Agents, Version Control and Bunnies - Daniel Siegl & David Payr](https://www.wearedevelopers.com/videos/1897-agents-version-control-and-bunnies-daniel-siegl-david-payr) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated)