Senior Software Engineer, AI Model Lifecycle

Crusoe
San Francisco
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 4-5 yearsEducation: bachelorsSkills: ["Problem-solving","Collaboration","Communication"]

Senior Software Engineer to build and own core infrastructure for the AI model lifecycle, focusing on fine-tuning, training pipelines, and deployment of large language models at scale. You’ll work with a team of principal and staff engineers to design production-ready services, contribute to open ecosystems, and help deliver an enterprise-grade platform powering advanced AI workloads.

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FursaFursa
Crusoe
Crusoe
6 months ago

Senior 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: 1 hour agoStatus: Live

Job Summary

Senior Software Engineer to build and own core infrastructure for the AI model lifecycle, focusing on fine-tuning, training pipelines, and deployment of large language models at scale. You’ll work with a team of principal and staff engineers to design production-ready services, contribute to open ecosystems, and help deliver an enterprise-grade platform powering advanced AI workloads.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Fine-tuning infrastructure: Implement and maintain systems for fine-tuning large foundation models (SFT, PEFT, LoRA, adapters), ensuring robust multi-node orchestration, checkpointing, and failure recovery.
  • •LLM training pipelines: Build and optimize end-to-end training pipelines for Large Language Models, focusing on cost-efficient scaling and performance.
  • •Advanced model optimization: Implement components for distillation and reinforcement learning pipelines, including preference optimization, policy optimization, and reward modeling.
  • •Agentic execution: Develop the core infrastructure required for agent execution, enabling complex, multi-step AI workflows.
  • •Lifecycle management: Build features for dataset, model, and experiment management, with versioning, lineage, and reproducible fine-tuning at scale.

Pay and Benefits

Perks:Health InsuranceVisionRsusPaid Leave401kCommuter BenefitsCell Phone

Key Requirements

  • •4-5+ years of industry experience with a track record of delivering initiatives
  • •Production-ready delivery experience
  • •Familiarity with cloud infrastructure foundations including elastic compute, object storage, and networking
  • •Solid understanding of Generative AI (LLMs, Multimodal) and AI infrastructure for training and inference
  • •Clear communication and ability to work cross-functionally to achieve team goals
Experience:4-5 yearsAI infrastructureCloud computingMachine learning
Education:Bachelor's
Skills:Problem-solvingCollaborationCommunication
Tech Stack:GolangPythonPyTorchLLMsGPU

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
WebsiteLinkedInGlassdoor