Senior Staff Software Engineer, Storage at Crusoe

San Francisco, California, United States

Crusoe Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Cloud Computing, AI Infrastructure, TechnologyIndustries

Requirements

  • Proven experience in system programming with languages such as C, C++, and/or Rust
  • Extensive knowledge of Linux Systems Internals and computer architecture
  • Ability to design, develop, and deploy highly scalable and distributed cloud storage solutions
  • Strong understanding of storage engineering concepts, including data protection mechanisms (e.g., redundancy, replication, encryption), fault tolerance, and storage technologies (e.g., NVMe, SSDs)
  • In-depth understanding of at least one of the following: block storage, object storage, and/or file storage
  • Familiarity with industry-standard storage protocols such as NFS, SMB, iSCSI, and NVMe-oF
  • Expertise in professional software engineering practices, including coding standards, code reviews, source control management, build processes, testing, and operations
  • Demonstrated track record of contributions to the open source community (e.g., Ceph, GlusterFS, OpenEBS)
  • Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts

Responsibilities

  • Define and execute the roadmap for the Crusoe Cloud storage strategy, aligning with overall business objectives
  • Serve as the engineering lead for the Cloud Storage team, collaborating with technology and engineering leadership to define and implement long-term strategic goals
  • Provide technical leadership and guidance to the engineering team throughout the entire software development lifecycle, including architecture decisions, design reviews, code reviews, implementation tasks, and production support
  • Collaborate closely with the infrastructure organization to design, develop, and optimize industry-leading storage infrastructure solutions
  • Lead the development and maintenance of high-performance and reliable file systems, ensuring optimal performance and data integrity
  • Design and implement robust and scalable storage architectures, considering factors such as performance, reliability, availability, and cost-effectiveness
  • Foster strong collaboration with other teams across the organization, including infrastructure, software engineering, and product development

Skills

Key technologies and capabilities for this role

Cloud StorageStorage InfrastructureStorage StrategySoftware ArchitectureDesign ReviewsCode ReviewsProduction SupportDistributed SystemsEngineering LeadershipInfrastructure Design

Questions & Answers

Common questions about this position

What is the salary for this Senior Staff Software Engineer position?

This information is not specified in the job description.

Is this role remote or hybrid, and where is it located?

The position is hybrid.

What skills and experience are required for this role?

Candidates need proven experience in system programming with C, C++, and/or Rust, extensive knowledge of Linux Systems Internals and computer architecture, and the ability to design, develop, and deploy highly scalable and distributed cloud storage solutions.

What is the company culture like at Crusoe?

Crusoe focuses on building sustainable AI cloud infrastructure powered by clean, renewable energy, driving meaningful innovation, making a tangible impact, and setting the pace for responsible, transformative cloud infrastructure with a team-oriented environment.

What makes a strong candidate for this Senior Staff Software Engineer role?

A strong candidate will have expertise in system programming (C/C++/Rust), deep Linux systems knowledge, experience designing scalable cloud storage, and leadership skills to lead engineering teams and storage strategy.

Crusoe

Utilizes wasted energy for computing power

About Crusoe

Crusoe Energy Systems Inc. provides digital infrastructure that focuses on using wasted, stranded, or clean energy sources to power high-performance computing and artificial intelligence. The company helps clients in the technology and energy sectors by offering scalable computing solutions that aim to reduce greenhouse gas emissions and support the transition to cleaner energy. Crusoe's approach involves converting excess natural gas and renewable energy into computing power, which allows them to maximize resource efficiency while minimizing environmental impact. Unlike many competitors, Crusoe specifically targets the intersection of energy and technology, generating revenue by supplying computing resources to enterprises that need significant computational power for applications like AI and machine learning, along with providing technical support.

Denver, ColoradoHeadquarters
2018Year Founded
$1,082.2MTotal Funding
SERIES_DCompany Stage
Energy, AI & Machine LearningIndustries
201-500Employees

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

Risks

Increased competition in AI infrastructure could threaten Crusoe's market share.
Regulatory scrutiny may arise from Bitcoin mining's environmental concerns.
Rapid expansion into AI infrastructure may lead to operational challenges.

Differentiation

Crusoe converts wasted energy into computing power, reducing environmental impact.
The company offers scalable solutions for AI and high-performance computing needs.
Crusoe's Digital Flare Mitigation technology utilizes natural gas for eco-friendly Bitcoin mining.

Upsides

Crusoe secured $600M in Series D funding, boosting AI infrastructure expansion.
Partnerships with tech firms enhance Crusoe's AI capabilities and market reach.
AI-driven energy optimization can significantly reduce operational costs in data centers.

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