Senior Staff Software Engineer, AI Model Lifecycle

Crusoe
Tel Aviv, San Francisco, Sunnyvale
Workplace: OnsiteFull timeFunction: Software EngineeringEducation: mastersSkills: ["Communication","Leadership","Problem-solving"]

Senior Staff Engineer leading the Model LifeCycle team to architect and build the end-to-end platform for training, fine-tuning, deployment, and management of AI models at scale. You will own core abstractions and APIs for model training, lifecycle management, and enterprise-grade workflows, collaborating with product and platform teams and contributing to open-source LLM infrastructure.

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FursaFursa
Crusoe
Crusoe
6 months ago

Senior Staff Software Engineer, AI Model Lifecycle

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Senior Staff Engineer leading the Model LifeCycle team to architect and build the end-to-end platform for training, fine-tuning, deployment, and management of AI models at scale. You will own core abstractions and APIs for model training, lifecycle management, and enterprise-grade workflows, collaborating with product and platform teams and contributing to open-source LLM infrastructure.
Location: Tel Aviv, San Francisco, Sunnyvale
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Model Fine-Tuning Orchestration: Design and manage fine-tuning systems for large foundation models, including multi-node orchestration, checkpointing, and cost-efficient scaling.
  • •End-to-End Training Pipelines: Implement robust training pipelines for LLMs, including distillation and reinforcement learning pipelines (PPO/DPO) and reward modeling.
  • •Agent & Execution Infrastructure: Build and scale infrastructure for reliable agent execution and complex model-driven workflows.
  • •Lifecycle Management: Develop systems for dataset, model, and experiment management with versioning, lineage, and reproducible fine-tuning at scale.
  • •Strategic Architectural Leadership: Influence long-term decisions regarding training runtimes, scheduling, and storage to define core platform abstractions.

Pay and Benefits

Perks:Health InsuranceDentalVision401kLife InsuranceDisabilityParental LeaveWellness StipendRetirementPaid Leave

Key Requirements

  • •An advanced degree (Masters or PhD) in Computer Science, Engineering, or a related technical field.
  • •8–12+ years of professional experience driving high-impact engineering projects in the AI/ML space.
  • •Expert-level proficiency with cloud-based services (elastic compute, object storage, virtual networking, managed databases) to build scalable systems.
  • •Deep technical experience in Generative AI, focused on infrastructure for LLM training and large-scale inference.
  • •Proven track record delivering 0 → 1 projects under tight deadlines with high engineering standards.
Experience:AI/MLCloud infrastructureSoftware engineering
Education:Master's
Skills:CommunicationLeadershipProblem-solving
Languages:English
Tech Stack:GolangPythonPyTorchLLMSFTPEFTLoRAPPODPOCUDAOpen-sourceCloudKubernetes

Company Brief

Crusoe
Builds vertically integrated, energy-first AI infrastructure and purpose-built AI data centers (Crusoe Cloud), leveraging clean/stranded energy to power large-scale GPU compute for AI training and inference.
Industry: Data Centers
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Decacorn (USD 10B+)
Funding: Series E+
Headquarters: Denver, United States
Founded: 2018
Glassdoor
Glassdoor: 3.7
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