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Crusoe

Senior Software Engineer, Storage

San Francisco, CA - USOnsite · United States
Senior · FullTime · Cloud Engineering
POSTED 13 NOVVERIFIED 10M AGO
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Role
0 days opentrue age
Closes in ~67d at the median (67d)
Posted 13 Nov · n=70
Pay
$174k–$209kno pay posted
$174k$280k
Market p25–p75
$182k–$226k
Crusoe p25–p75
$174k–$209kn=4
H-1B median · Software engineering
$280k
SF Bay Area · n=1213 · 365d to 12 Nov
CompanyCrusoe →
316open roles
Opened · 30d
+34
Closed · 30d
−58
13d of snapshots · 30d window
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17,073open · Senior Software engineering
Opened · 7d
+1,3288% of open
All software engineering
75,397open
All tracked boards · live 13 Nov · n=17,073
Visa
13H-1B LCAs · FY26
Median wage
$235k
LCAs FY26 · n=13 · to 2026-06-30
GoJavaRustC++Distributed systems

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

As a Senior Software Engineer on our storage team, you'll be joining our core engineering team to design, build, and optimize our next-generation cloud storage products. We're looking for a hands-on engineer with deep expertise in building storage systems. You will be responsible for building highly performant, reliable, and scalable distributed storage systems that are critical to our infrastructure and our customers' AI/HPC workloads.

What You'll Be Working On

Building Our Multi-Petabyte Cloud Storage Platform

Building core components of our foundational storage products, purpose built for high performance AI and ML workloads

Contributing to distributed file, block and object storage products, with a focus on filesystem based solutions

System Design & Architecture

Design and implement high-performance, scalable, and resilient storage architectures that are highly extensible

Proposing and prototyping novel strategies to scale performance and system throughput for our most demanding customer workloads

Building observability, metrics and tooling for our services and fleet

High Velocity Problem Solving

Troubleshooting and resolving unique and complex distributed systems problems only seen at the scale we operate at

Provide ongoing support for production systems, and customer workloads including troubleshooting, performance tuning, and incident response

Cross-functional Collaboration

Foster strong collaboration with other engineering teams (e.g., Software Infrastructure, Product) and cross-functional departments

Single threaded ownership and representation of the storage team in business critical initiatives across the company

What You'll Bring to the Team

Hands-on proficiency in modern software development best practices, and practical experience in languages like Go, Java, C/C++, or Rust

Extensive experience developing multi-tenant, cloud scale distributed storage infrastructure software and systems

Experience contributing to at least one or more of the following storage products: File (e.g., NFS, SMB, Lustre), Object, or Block Storage (e.g., NVMe, iSCSI)

A strong background in high performance filesystem based products, VFS and linux filesystems (e.g., ext4, XFS, ZFS)

Proficiency working with Linux and its storage subsystems.

Knowledge of monitoring tools (Prometheus, Grafana), log analysis, distributed tracing and debugging

Bonus Points

Experience with AI/HPC storage solutions, such as Parallel Filesystems or petabyte+ scale Object Storage.

Familiarity with networking technologies like RDMA and Infiniband.

Familiarity with modern storage technologies (e.g GPU Direct Storage, F2FS, SPDK etc)

Prior experience with Nvidia SuperNIC DPUs for storage optimization

Prior experience in Storage Virtualization & Orchestration, volume placement strategies and distributed metadata management

Research publications or open-source contributions to storage-related projects.

Source · CrusoeFirst seen 13 NovOriginal ↗