Crusoe

5 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: 11 hours 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: 3.7

Website LinkedIn Glassdoor

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Crusoe

5 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: 11 hours agoStatus: Live

Job Summary

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

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