Crusoe

5 months ago

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: 11 hours agoStatus: Live

Job Summary

Senior-level software engineer responsible for architecting and implementing the end-to-end model lifecycle platform. You’ll build infrastructure to train, manage, and deploy LLMs and foundation models at scale, develop fine-tuning and training pipelines, and collaborate with senior engineers to define core APIs and lifecycle features for enterprise AI workloads.

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Fine-Tuning System Development: Contribute to the development of sophisticated fine-tuning systems (SFT, PEFT, LoRA, adapters), ensuring reliable multi-node orchestration, checkpointing, and failure recovery.
•End-to-End Training Pipelines: Implement and maintain robust training runs for LLMs, including distillation and reinforcement learning pipelines such as preference and policy optimization.
•Agent Execution Infrastructure: Develop and maintain the scalable, high-performance infrastructure required for reliable agentic execution and complex model workflows.
•Lifecycle Management Features: Implement enterprise-grade features for dataset, model, and experiment management, focusing on versioning, lineage, and reproducible fine-tuning at scale.
•Collaborative API Design: Work closely with Principal Engineers and product teams to shape the core abstractions and APIs that power the Crusoe AI ecosystem.

Pay and Benefits

Salary: USD 208,725 - 253,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kRsusParental LeaveRemote WorkLife InsuranceDisability

Key Requirements

•8–10+ years of industry experience leading high-impact technical initiatives
•Production-grade features delivered on time and at scale in a fast-paced environment
•Hands-on cloud infrastructure experience (elastic compute, object storage, VPNs, managed DBs)
•Practical experience with Generative AI (LLMs, multimodal) and training/inference infrastructure
•Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Experience:8+ yearsAI infrastructureCloud computingLLMsMultimodalGPU computing

Education:Bachelor's

Skills:CommunicationCollaborationProblem-solvingLeadershipTeamwork

Languages:English

Tech Stack:GolangPythonPyTorchLLMsMultimodalDistillationReinforcement learningLoRASFTPEFTAdaptersGPUInference

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: 3.7

Website LinkedIn Glassdoor

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Crusoe

5 months ago

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: 11 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Fine-Tuning System Development: Contribute to the development of sophisticated fine-tuning systems (SFT, PEFT, LoRA, adapters), ensuring reliable multi-node orchestration, checkpointing, and failure recovery.
•End-to-End Training Pipelines: Implement and maintain robust training runs for LLMs, including distillation and reinforcement learning pipelines such as preference and policy optimization.
•Agent Execution Infrastructure: Develop and maintain the scalable, high-performance infrastructure required for reliable agentic execution and complex model workflows.
•Lifecycle Management Features: Implement enterprise-grade features for dataset, model, and experiment management, focusing on versioning, lineage, and reproducible fine-tuning at scale.
•Collaborative API Design: Work closely with Principal Engineers and product teams to shape the core abstractions and APIs that power the Crusoe AI ecosystem.

Pay and Benefits

Salary: USD 208,725 - 253,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kRsusParental LeaveRemote WorkLife InsuranceDisability

Key Requirements

•8–10+ years of industry experience leading high-impact technical initiatives
•Production-grade features delivered on time and at scale in a fast-paced environment
•Hands-on cloud infrastructure experience (elastic compute, object storage, VPNs, managed DBs)
•Practical experience with Generative AI (LLMs, multimodal) and training/inference infrastructure
•Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Experience:8+ yearsAI infrastructureCloud computingLLMsMultimodalGPU computing

Education:Bachelor's

Skills:CommunicationCollaborationProblem-solvingLeadershipTeamwork

Languages:English

Tech Stack:GolangPythonPyTorchLLMsMultimodalDistillationReinforcement learningLoRASFTPEFTAdaptersGPUInference

Company Brief

Crusoe

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: 3.7

Website LinkedIn Glassdoor