Senior Software Engineer, Storage

Crusoe Energy Systems LLC

San Francisco (CA)

On-site

USD 166,000 - 201,000

Full time

14 days+

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Benefits offered by this job

Industry competitive pay
Restricted Stock Units
Health insurance options
401(k) with 100% match
Generous paid time off

Job summary

A forward-looking tech company in San Francisco is seeking a Senior Software Engineer to develop and optimize their next-generation cloud storage products. Candidates should have experience in building distributed storage systems and proficiency in programming languages such as Go, Java, C/C++, or Rust. The role offers competitive compensation and a comprehensive benefits package, fostering innovation in sustainable technologies.

Qualifications

  • Hands-on proficiency in modern software development practices.
  • Extensive experience in multi-tenant, cloud-scale distributed storage infrastructure.

Responsibilities

  • Design and implement scalable storage architectures.
  • Build core components for high performance AI and ML workloads.
  • Troubleshoot and resolve complex distributed systems problems.

Skills

Proficiency in Go, Java, C/C++, or Rust
Experience in developing distributed storage software
Knowledge of monitoring tools (Prometheus, Grafana)
Experience with high performance filesystems

Tools

Linux
Storage subsystems

Job description

Cruose's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability.

Be part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.

About This 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

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.

Benefits:
  • Industry competitive pay

  • Restricted Stock Units in a fast-growing, well-funded technology company

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

  • Employer contributions to HSA accounts

  • Paid Parental Leave

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

  • Teladoc

  • 401(k) with a 100% match up to 4% of salary

  • Generous paid time off and holiday schedule

  • Cell phone reimbursement

  • Tuition reimbursement

  • Subscription to the Calm app

  • MetLife Legal

  • Company paid commuter benefit; $200 per month

Compensation:

Compensation will be paid in the range of $166,000 - $201,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant’s education, experience, knowledge, skills, 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.

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