Senior Production Engineer, Managed AI

Crusoe
San Francisco, Sunnyvale
Workplace: OnsiteFull timeFunction: Manufacturing & Production OperationsSkills: ["Python","Go","Java","C++","Kubernetes","LLMs","AI/ML","Monitoring","Observability","Distributed systems"]

Lead the design, operation, and scale of Crusoe’s AI-optimized cloud platform with a focus on distributed systems and large language models. Build automation, define SLIs/SLOs, and drive reliability and performance across AI workloads while collaborating across AI, platform, and infrastructure teams in a fast-paced, mission-driven environment.

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FursaFursa
Crusoe
Crusoe
10 months ago

Senior Production Engineer, Managed AI

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Lead the design, operation, and scale of Crusoe’s AI-optimized cloud platform with a focus on distributed systems and large language models. Build automation, define SLIs/SLOs, and drive reliability and performance across AI workloads while collaborating across AI, platform, and infrastructure teams in a fast-paced, mission-driven environment.
Location: San Francisco, Sunnyvale
Workplace: Onsite
Employment Type: Full time
Job Function: Manufacturing & Production Operations
Seniority: Manager level

Key Responsibilities

  • •Design and operate reliable managed AI services with a focus on serving and scaling LLM workloads
  • •Build automation and reliability tooling to support distributed AI pipelines and inference services
  • •Define, measure, and improve SLIs/SLOs across AI workloads to ensure performance and reliability targets are met
  • •Collaborate with AI, platform, and infrastructure teams to optimize large-scale training and inference clusters
  • •Automate observability by building telemetry and performance tuning strategies for latency-sensitive AI services

Pay and Benefits

Equity and Bonus:Equity
Perks:Health InsuranceVisionDental401kParential LeaveCell Phone

Key Requirements

  • •Proficiency in at least one modern programming language (Python, Go, Java, or C++)
  • •Hands-on experience with distributed systems design and implementation
  • •Hands-on work with large language models (LLMs) or AI/ML infrastructure
  • •SRE mindset including defining and measuring SLIs/SLOs, building monitoring/observability systems, driving reliability improvements, and designing fault-tolerant systems
  • •Familiarity with Kubernetes or container orchestration platforms
Experience:AI infrastructureCloud computing
Skills:PythonGoJavaC++KubernetesLLMsAI/MLMonitoringObservabilityDistributed systems
Tech Stack:PythonGoJavaC++KubernetesLLMsAI/MLMonitoringObservabilityDistributed systems

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