Full-Time

Staff Software Engineer

Storage

Updated on 9/3/2026

Crusoe

Crusoe

1,001-5,000 employees

Climate-aligned HPC powered by wasted energy

Compensation Overview

$240k - $310k/yr

San Francisco, CA, USA

In Person

Master's, PhD

Category
Software Engineering (1)
Required Skills
MLOps
Rust
Microsoft Azure
Distributed Systems
TensorFlow
PyTorch
Apache Kafka
Computer Networking
AWS
Go
Redis
MongoDB
C/C++
Cassandra
Google Cloud Platform

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Requirements
  • At least 12 years of experience building and operating large-scale, complex distributed cloud computing infrastructure products.
  • Strong troubleshooting and performance tuning skills, with the ability to profile and optimize the entire input/output path.
  • Self-motivation to thrive in a fast-paced environment with a high degree of ownership and minimal supervision.
  • Deep theoretical and practical knowledge of distributed state and data protection at petabyte scale.
  • Mastery of professional software engineering practices for the full software development life cycle, including coding standards, build processes, and testing.
  • Ability to champion and lead initiatives across the engineering organization, such as technical talks and technical reading groups.
Responsibilities
  • Define and drive the long-term technical strategy for Crusoe’s storage engine, identify industry trends such as CXL and NVMe over Fabrics, and integrate them into a cohesive roadmap.
  • Use system programming languages such as C, C++, Go, and/or Rust to build the foundations of the V2 storage re-architecture.
  • Architect and implement solutions using storage protocols such as NFS, SMB, iSCSI, and NVMe over TCP.
  • Drive and maintain a track record of contributions to the open-source community, including projects such as Ceph, GlusterFS, Lustre, Spectrum Scale, and OpenEBS.
  • Serve as the final arbiter for critical architecture decisions across the Foundations organization and lead complex design reviews intersecting storage, networking, and virtualization.
  • Lead tiger teams to solve ambiguous and difficult performance bottlenecks, from kernel-level input/output context switching to global tail latency in distributed clusters.
  • Work closely with Executive Leadership and Product to align technical capabilities with business milestones.
Desired Qualifications
  • Expertise in one or more public cloud offerings, including Amazon Web Services, Google Cloud Platform, Azure, or Oracle Cloud Infrastructure, and familiarity with artificial intelligence and machine learning frameworks such as PyTorch, TensorFlow, or JAX and MLOps.
  • Experience with high-throughput input/output architectures such as DAOS or SPDK.
  • Background in remote direct memory access and high-performance networking, including SmartNICs and RoCEv2.
  • Experience with highly available and scalable systems such as Cassandra, MongoDB, Redis, or Kafka.
  • Strong knowledge of distributed systems fundamentals, including the CAP Theorem, Paxos or Raft, consistent hashing, and sharding strategies.
  • An advanced degree (Master's or PhD) in Computer Science, Engineering, or a related field.

Crusoe Energy Systems uses wasted, stranded, or clean energy sources to power high-performance computing and AI workloads. It turns otherwise unused energy into scalable computing resources and offers technical support to enterprises in AI and data-intensive fields. Unlike traditional data centers, Crusoe colocates infrastructure at energy sources to capture excess energy and convert it into computer power, reducing emissions. Its goal is to help the energy transition by providing climate-aligned, reliable computing while boosting resource efficiency.

Company Size

1,001-5,000

Company Stage

Series F

Total Funding

$18.7B

Headquarters

Denver, Colorado

Founded

2018

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Simplify Jobs

Simplify's Take

What believers are saying

  • September 3, 2026 funding delivered over $3 billion for expansion.
  • March 2026 Microsoft deal added 900 MW and lifted Abilene to 2.1 GW.
  • July 2026 Childress campus with Lancium added another 1.0 GW pipeline.

What critics are saying

  • Texas regulators rejected Crusoe's proportional curtailment plan on July 24, 2026.
  • TCEQ's Abilene gas-plant permit stayed open through September 2, 2026.
  • Google-linked gas power at Goodnight can trigger 4.5 million annual tons CO2.

What makes Crusoe unique

  • Crusoe combines AI data centers with behind-the-meter power and gas generation.
  • March 2026 Abilene expansion targeted Microsoft, alongside OpenAI and Oracle workloads.
  • September 2026 financing hit $30 billion, signaling rare hyperscaler-scale execution.

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Benefits

Industry competitive pay

Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents

Paid life insurance, short-term and long-term disability

Parental leave

Stock options in a fast-growing, well-funded technology company

Pet-friendly offices

Teladoc

401(k) with a 4% match

Unlimited time off

Cell phone reimbursement

Tuition reimbursement

Company paid commuter benefit; $100 per month

Calm

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-1%

2 year growth

1%
Bloomberg Law
Sep 3rd, 2026
Crusoe Raises Over $3 Billion in Round at $30 Billion Valuation

Crusoe, a cloud-computing provider and data center developer doing business with OpenAI, Microsoft Corp. and Meta Platforms Inc., has raised over $3 billion in a funding round that values the startup at roughly $30 billion, according to people familiar with the situation.

Yahoo Finance
Jul 31st, 2026
Crusoe plans $1B expansion of Google-linked Texas data centre with two new buildings

Crusoe has registered two additional data-centre buildings at its Goodnight campus near Claude, Texas, with estimated construction costs totalling $1 billion, according to state filings. The buildings would add approximately 1.61 million square feet to the Armstrong County development, also known as Project Llano. Each single-storey structure is planned at roughly 805,380 square feet, with multiple data halls, office space and support areas. Public reporting has linked Google to the campus development through intermediary Ensign Infrastructure. Building 3 is scheduled for completion on 1 August, whilst Building 4 has a March 2027 completion date. Power plans include grid-supplied electricity and potential on-site generation, with a natural-gas plant proposal for up to 933 MW capacity. Separately, Crusoe announced a partnership with Aalo Atomics to examine modular nuclear generation for future data centres.

Yahoo Finance
Jul 21st, 2026
Crusoe and ON.energy to deploy 5GW of AI UPS™ across multiple hyperscale campuses

Crusoe and ON.energy have announced a partnership to deploy 5 gigawatts of AI UPS™ technology across multiple hyperscale campuses, with commissioning starting in 2026 and continuing into 2027. AI data centres create unprecedented grid challenges. During training, thousands of GPUs ramp up and down in synchronised bursts, causing power demand fluctuations hundreds to thousands of times daily. These load swings can propagate through interconnection points into transmission systems. ON.energy's patented AI UPS™ is a medium-voltage uninterruptible power system that sits between power sources and data centres. It decouples facilities from the grid, protecting equipment during voltage faults whilst preventing GPU load swings from affecting the grid. The technology has been validated against ERCOT's Large Load Interconnection requirements, meeting grid stability and voltage ride-through standards.

Associated Press
Jul 15th, 2026
Crusoe and Lancium to build 1GW AI data centre campus in Texas

Crusoe and Lancium announced a 1.0 gigawatt AI data centre campus in Childress, Texas. The grid-connected facility will span 270 acres owned by Lancium, which will develop and manage the site's energy infrastructure, whilst Crusoe will design, build and operate the data centre. Construction is expected to begin in the third quarter of 2026, creating thousands of construction jobs and over 100 permanent positions. The campus will support deployment of hundreds of thousands of advanced AI accelerators for training or inference. This marks the second site using the same partnership structure between the companies, following their collaboration in Abilene. The development will feature closed-loop, non-evaporative liquid cooling systems and behind-the-metre solar and energy storage resources.

Associated Press
Jul 7th, 2026
Crusoe launches serverless fine-tuning and self-serve inference for open AI models

Crusoe, an AI infrastructure company, has launched Serverless Fine-Tuning and Self-Serve Deployments in its Crusoe Intelligence Foundry platform. The new capabilities allow data scientists and ML engineers to customise open-source AI models with proprietary data and deploy them to production without managing infrastructure. Serverless Fine-Tuning enables teams to launch fine-tuning jobs through a simple interface, selecting from curated open-weight models and uploading custom datasets. Jobs run on distributed AI-optimised infrastructure with automated recovery. Completed model weights are provided in portable format and can be deployed immediately or downloaded for external use. Self-Serve Deployments offer production-grade inference on NVIDIA H100 or H200 GPUs, billed per GPU hour. Teams can deploy models directly from fine-tuning workflows or select base models optimised for throughput or responsiveness. Both features will be generally available next week.