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Staff Software Engineer (Storage)

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Onsite

Staff Software Engineer (Storage)

Crusoe Energy Systems

Staff Software Engineer (Storage)

Skills

Google Cloud PlatformRustMongoDBGolangPyTorchTensorFlowCassandraKafkaRedisMachine LearningAIAWSGDPRAzure

2 months ago

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Important information


Contract type:

Permanent

Salary:

$240,000 – $310,000 / year

Location:

San Francisco, CA, USA

Work mode:

Onsite

Published on:

29 August 2026

What they need


  • The Cloud Storage team at Crusoe is seeking a Staff Software Engineer to serve as a primary architect and visionary for our storage strategy
  • While a Staff Engineer leads features, a Senior Staff Engineer defines the multi-year technical roadmap that underpins our AI-scale infrastructure
  • You will be a multiplier, responsible for the architectural strategy, integrity and global scalability of our bespoke storage services
  • You will work at the physics of the stack, bridging the gap between high-performance NVM
  • Architectural Vision & Strategy: Define and drive the long-term technical strategy for Crusoe’s storage engine. Identify industry trends (e.g., CXL, NVMe-oF) and integrate them into a cohesive roadmap
  • System Programming Expertise: Leverage proven experience in system programming with languages such as C, C++, Go, and/or Rust to build the foundations of our V2 storage re-architecture
  • Storage Protocols: Architect and implement solutions utilizing industry-standard storage protocols such as NFS, SMB, iSCSI, and NVMe/TCP
  • Open Source Stewardship: Drive and maintain a track record of contributions to the open-source community (e.g., Ceph, GlusterFS, Lustre, Spectrum Scale, OpenEBS)
  • Technical Authority: Serve as the final arbiter for critical architecture decisions across the Foundations organization. Lead complex design reviews that intersect storage, networking, and virtualization
  • Deep Performance Engineering: Lead “tiger teams” to solve the most ambiguous and difficult bottlenecks in the stack—from kernel-level IO context switching to global tail-latency in distributed clusters
  • Strategic Collaboration: Work closely with Executive Leadership and Product to align technical capabilities with business milestones, such as our imminent path to IPO

Benefits

  • Health & wellbeing: Comprehensive health benefits designed to support your overall wellness
  • Time away: Paid time off for vacations, family bonding, and unexpected needs
  • 401(k) match: Build your financial future with our 401(k) matching program
  • Mental wellness: Resources and support for your emotional wellbeing and navigating life’s challenges- Troubleshooting & Tuning: Strong troubleshooting and performance tuning skills; ability to profile and optimize the entire IO path
  • Cloud Storage Expertise: 12+ years of experience building and operating large-scale, complex distributed cloud computing infrastructure products
  • Communication & Collaboration: Ability to champion and lead initiatives across the engineering organization, such as tech talks and technical reading groups
  • High-Drive Mindset: Self-motivation to thrive in a fast-paced environment with a high degree of ownership and minimal supervision
  • Software Engineering Fundamentals: Mastery of professional software engineering practices for the full SDLC, including coding standards, build processes, and testing
  • Masters of Consistency & Durability: Deep theoretical and practical knowledge of distributed state and data protection at petabyte scale
  • Public Cloud & AI/ML: Expertise in one or more Public Cloud offerings (AWS, GCP, Azure, OCI) and familiarity with AI/ML frameworks (PyTorch, Tensorflow, JAX) and MLOps
  • High-Throughput I/O: Experience with cutting-edge I/O architectures like DAOS or SPDK
  • Networking Foundations: Background in RDMA and high-performance networking, including SmartNICs and RoCEv2
  • Distributed Systems Mastery: Experience with highly available and scalable systems such as Cassandra, MongoDB, Redis, or Kafka
  • Theoretical Depth: Strong knowledge of distributed systems fundamentals including CAP Theorem, Paxos/RAFT, consistent hashing, and sharding strategies
  • Education: Advanced degree (Master’s or PhD) in Computer Science, Engineering, or a related field

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