Staff Engineer, Crusoe Managed Data Transfer (Distributed Systems)
Quick Summary
Architecture Ownership: Own the end-to-end design of MDT: the job API and scheduler, the transfer workers on Kubernetes, storage integration and network paths.
Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster.
We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.
We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.
If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe.
About the Role
~1 min readWe are looking for a Staff Engineer to be the technical lead and systems architect for Crusoe's Managed Data Transfer (MDT) service, the person who owns how its parts fit together and how MDT fits into Crusoe Cloud. MDT moves petabyte-scale training data between hyperscaler storage and Crusoe storage as a managed service, so AI labs and Physical AI companies can train on Crusoe GPUs without building their own transfer pipelines. You will design the control plane, the transfer worker fleet and the integration with Crusoe's storage and network, and set the path for adding other clouds and Crusoe-internal transfers.
This is an engineering leadership role on a new team. Managed Data Transfer starts from a working prototype that already serves customers in production, so your first decisions are about what to keep, harden or replace, and how to sequence that work without disrupting the customers who depend on it. You will lead the design through Crusoe's architecture review, mentor the engineers who build it, and report to the Engineering Manager of Managed Data Transfer within Managed platform services.
Nice to Have
~1 min readExperience building or operating bulk data transfer systems, such as AWS DataSync, Google Storage Transfer Service, or rclone at petabyte scale.
Familiarity with cloud networking and interconnects, such as AWS Direct Connect or GCP Interconnect.
Experience with cross-account cloud IAM and threat modeling for services that hold customer credentials.
Approximate nearest-neighbor (ANN) indexing in depth: HNSW, IVF, product and scalar quantization, DiskANN-style indexes that live on SSD.
Experience with AI, HPC or Physical AI data pipelines.
What We Offer
~1 min readLocation & Eligibility
About this job
- Pay per year
- $215,000–$260,000 a year
- 249% above the $68,000 median for Other jobs on Jobera (128,861 salaries).
- Who can apply
- United States
- Posted
- 1 day ago
Listing Details
- Posted
- October 28, 2026
- First seen
- October 28, 2026
- Last seen
- October 28, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 76%
- Scored at
- October 28, 2026
Signal breakdown
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