---
title: 'Senior Software Engineer, Data Platform at Crusoe'
canonical: 'https://feeny.ai/job/senior-software-engineer-data-platform-crusoe-san-francisco-exbgj0xgczrk'
type: 'job'
last_seen: '2026-09-11'
---

# Senior Software Engineer, Data Platform at Crusoe

- **Company:** [Crusoe](https://feeny.ai/companies/crusoe)
- **Location:** San Francisco, CA / United States
- **Compensation:** $200k–$220k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-09-10
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.ashbyhq.com/Crusoe/a1adc254-151a-48a0-b609-0d37db879919/application

**Skills:** Python, SQL, Data Warehousing, Data Lakes, Streaming Systems, ETL/ELT Frameworks, Distributed Systems, CI/CD, Containerization, Infrastructure-as-Code, Go, Java, C, C++, Google Cloud Platform, BigQuery, Apache Beam, Airflow, Dagster, Prefect

> Design and build scalable data platform infrastructure and high-performance data systems and champion data quality and reliability foresight. Collaborate with engineering teams to architect foundational data infrastructure that powers AI and cloud operations.

## Job description

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 This Role: Join Crusoe Energy as a Senior Data Engineer, an early and pivotal hire on our growing central Data Science and Engineering team. This is a full-time, strictly on-site role based out of our Sunnyvale, CA or San Francisco office; remote work arrangements are not eligible for this position. This full-time position offers you the unique opportunity to architect and build the foundational data platform infrastructure that powers Crusoe's AI and cloud operations. You'll go beyond building pipelines—you'll design and implement the systems that make those pipelines possible, playing a key role in Crusoe's mission to meet the ever-increasing demand for AI infrastructure and innovate sustainably.

What You'll Be Working On:

- Architect Data Platform Infrastructure: Design and build scalable, reliable data infrastructure systems that serve as the foundation for analytics, machine learning, and operational intelligence across Crusoe.
- Build High-Performance Data Systems: Develop robust data processing frameworks and storage solutions optimized for the unique demands of AI infrastructure and cloud operations.
- Champion Data Quality & Reliability: Implement data validation, monitoring, and observability systems that ensure data integrity and platform reliability at scale.
- Collaborate Across Engineering Teams: Partner with software engineers, data scientists, and operations teams to understand requirements and deliver infrastructure that accelerates their work.
- Drive Technical Excellence: Establish best practices for data engineering, contribute to architectural decisions, and mentor team members as the team grows.

What You'll Bring to the Team:

- Strong Software Engineering Foundation: Demonstrate proficiency in Python and at least one systems-level language (Go preferred; Java, C, or C++ also valued), with the ability to write production-quality, maintainable code.
- Data Infrastructure Expertise: Possess deep experience designing and building data platforms, including data warehouses, data lakes, streaming systems, and ETL/ELT frameworks.
- Distributed Systems Knowledge: Show understanding of distributed computing principles, with experience building systems that scale reliably.
- SQL Mastery: Exhibit advanced SQL skills for data modeling, query optimization, and database design.
- Infrastructure-as-Code Mindset: Demonstrate familiarity with modern DevOps practices including CI/CD, containerization, and infrastructure automation.
- Ownership & Autonomy: As an early hire on the data engineering team, you'll be expected to drive projects from conception to production with minimal supervision.
- Collaboration Skills: Communicate effectively with technical and non-technical stakeholders to translate requirements into robust solutions.
- Minimum Educational Requirement: Bachelor’s degree (or foreign equivalent) in Computer Science, Data Engineering, Information Systems, or a closely related technical field.
- Minimum Experience: 5+ years of progressive, post-baccalaureate experience in software engineering, data infrastructure engineering, or a related role.

Bonus Points:

- Experience with Google Cloud Platform (GCP) data services (BigQuery, Dataflow, Pub/Sub, Cloud Storage).
- Experience with Apache Beam.
- Background in building infrastructure for AI/ML workloads or cloud computing platforms.
- Experience on a growing or early-stage data team, contributing to foundational development.
- Familiarity with data orchestration tools (e.g., Airflow, Dagster, Prefect).
- Experience with real-time data processing and streaming architectures.

Benefits:

- Competitive compensation
- Restricted Stock Units
- Paid time off & paid holidays
- Comprehensive health, dental & vision insurance
- Employer contributions to HSA account
- Paid parental leave
- Paid life insurance, short-term and long-term disability
- Professional development & tuition reimbursement
- Mental health & wellness support
- Commuter benefits (parking & transit)
- Cell phone stipend
- 401(k) Retirement plan with company match up to 4% of salary
- Volunteer time off

## Compensation Range

Compensation will be paid in the range of up to $170,000 - $205,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data.

Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

## About Crusoe

## Company Overview
- **One-liner**: Crusoe is an energy-first AI infrastructure company that designs, builds, and operates hyperscale data centers and a cloud platform purpose-built for artificial intelligence workloads.
- **Entity Type**: Private (Series E)
- **Headquarters**: Denver, Colorado, USA
- **Founded**: 2018
- **Founders**: Chase Lochmiller and Cully Cavness

## Core Business
- Primary industry/industries: AI Infrastructure, Cloud Computing, Data Centers, Clean Energy
- Target customers: Enterprise AI companies, AI-native startups, research institutions, government agencies (B2B)
- **Mission**: "Accelerate the abundance of energy and intelligence."

## Products & Services
- **Crusoe Cloud**: An AI-optimized cloud platform purpose-built for AI workloads, featuring high-performance NVIDIA and AMD compute, accelerated storage, and optimized RDMA networking. Claims to deploy models up to 20x faster and cut costs by up to 81%.
- **Crusoe Managed Inference**: A managed AI inference service built with Crusoe's proprietary MemoryAlloy technology, offering best-in-class speed, throughput, and reliability. Features the Crusoe Intelligence Foundry for model selection and API key management.
- **AI Data Center Infrastructure**: Vertically integrated design, build, and operation of hyperscale AI factories (e.g., the 1.2 GW Stargate campus in Abilene, TX). Modular, scalable construction for power-hungry AI workloads.
- **Crusoe Managed Kubernetes & Slurm**: Managed orchestration services that eliminate operational overhead for customers.
- **Crusoe AutoClusters**: Fault-tolerant, managed cluster services for large-scale AI training.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (private company).
- **Key Metric**: Raised over $1.8B+ in total funding (Series E in 2024 was $1B+; Series D in 2024 was $600M; Series C in 2021 was $350M).
- **Notable Investors/Partners**: NVIDIA, NYDIG, GE Vernova, Redwood Materials, Tallgrass, AMD. The company has also partnered with leading energy and technology firms to power its data centers.
- **Growth Signals**: Divested bitcoin mining business to NYDIG in 2023 to focus exclusively on AI infrastructure; broke ground on the 1.2 GW Stargate campus in Abilene, TX; expanded into Europe with a geothermal/hydro-powered deployment in Iceland; announced 1.8 GW Wyoming data center with Tallgrass; acquired GPU memory optimization startup Atero and established a Tel Aviv office.

## Competitive Advantages
- **Energy-First Approach**: The company’s core differentiator is its vertical integration starting from energy sourcing. It uses "environmentally aligned power sources" (wind, solar, hydropower, geothermal, natural gas with carbon capture) to power its AI factories, including pioneering technology to convert wasted natural gas into energy.
- **Vertical Integration**: Controls the entire stack—from finding innovative energy sources to building and managing hyperscale data centers and operating the cloud platform.
- **NVIDIA Partnership**: Close partnership with NVIDIA, providing access to the latest and highest-performance GPU hardware for its cloud and infrastructure.
- **Proven Performance**: Claims 99.98% uptime, 100% customer satisfaction score, and significant cost/performance advantages (up to 81% cost reduction).

## Strategic Focus
- **Massive Infrastructure Expansion**: Aggressively scaling its data center footprint, with major projects in Abilene, Texas (Stargate) and Wyoming (Tallgrass), and expansion into Europe.
- **Deepening AI Cloud**: Continuing to build out its Crusoe Cloud platform with managed services (Kubernetes, Slurm, AutoClusters) to make it easier for AI companies to use their infrastructure.
- **Responsible AI**: Emphasizing sustainability and responsible AI governance, as evidenced by achieving ISO 42001 certification and publishing an ESG report.
- **Acquisition-led Growth**: Acquired Atero (GPU memory optimization) to enhance its core technology stack.

## Why Work Here
- **Mission-Driven**: The company is united by a tangible mission: "Accelerate the abundance of energy and intelligence." Employees report high levels of engagement (92% proud to work there per internal survey).
- **Massive Growth Trajectory**: Crusoe is at the center of the AI infrastructure boom, building some of the world's most powerful AI factories. For job seekers, this means exposure to cutting-edge technology and the opportunity to scale a company from a startup to an industry leader.
- **Culture**: The company values "moving fast and making things," continuous learning, and collective genius. It describes itself as an "AI factory company" that values velocity and impact.
- **Work Policy**: Hybrid/Office presence required in most roles. Office locations include: Denver (HQ), San Francisco, Sunnyvale, Bellevue, Tulsa, Dublin (Ireland), and Tel Aviv (Israel).
- **Benefits**: Competitive compensation & equity, comprehensive health & wellness, mental health resources, retirement plans, paid time off, leave of absence programs, learning & development, volunteer time off, daily meals allowance, and other location-specific perks.
- **Engineering Culture**: Strong emphasis on technical excellence, working with large-scale systems, and pioneering new approaches to energy and infrastructure. The company values candidates' "AI fluency" in its hiring process.

## Sources
1. [crusoe.ai](https://www.crusoe.ai/)
2. [crusoe.ai/careers](https://www.crusoe.ai/about/careers)
3. [crusoe.ai/about/culture](https://www.crusoe.ai/about/careers/culture)
4. [crusoe.ai/about/company](https://www.crusoe.ai/about/company)

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