Crusoe

2 days ago

Senior Solutions Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Help enterprise customers deploy AI/ML workloads on Crusoe’s high-performance GPU infrastructure. You’ll run technical discovery with Account Executives, deliver demos and PoCs, and deploy/troubleshoot containerized workloads on Kubernetes-based stacks. Partner with customers to adapt workloads from AWS, GCP, or Azure, document product gaps, and ensure smooth post-sale handoffs through clear transition docs.

Location: New York

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Deliver technical demos and stand up PoC environments for customers evaluating Crusoe Cloud with clearly defined success criteria.
•Support technical discovery with Account Executives by mapping stakeholders, gathering requirements, and handling technical objections.
•Deploy and troubleshoot containerized AI/ML workloads on Kubernetes-based stacks, optimizing for performance and cost.
•Help customers adapt workloads from AWS, GCP, or Azure to Crusoe infrastructure and explain tradeoffs.
•Document product gaps and bugs, channel customer feedback to Product, and create transition docs for stable post-sale handoffs.

Pay and Benefits

Salary: USD 155,000 - 200,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kPaid Parental

Key Requirements

•2+ years of hands-on experience building, deploying, or operating cloud infrastructure, ideally with exposure to AI/ML, HPC, or GPU workloads.
•Hands-on proficiency with at least one major cloud provider (AWS, GCP, or Azure), deploying and managing infrastructure.
•Experience deploying containerized workloads with Kubernetes or Docker.
•Strong Linux command-line skills and scripting ability in Python or Bash.
•Networking fundamentals (VPCs, subnets, load balancers, DNS, routing) and clear technical communication for demos and documentation.

Experience:AI/MLCloud infrastructureHPCGPU workloadsContainerized workloads

Skills:Technical communicationCustomer-facing instinctsPresentingDocumentationComposure

Tech Stack:KubernetesDockerAWSGCPAzurePythonBashLinuxVPCDNSTerraformAnsibleCloudFormationPyTorchRayKubeflowPrometheusGrafanaDatadogCloudWatch

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

2 days ago

Senior Solutions Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: New York

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Deliver technical demos and stand up PoC environments for customers evaluating Crusoe Cloud with clearly defined success criteria.
•Support technical discovery with Account Executives by mapping stakeholders, gathering requirements, and handling technical objections.
•Deploy and troubleshoot containerized AI/ML workloads on Kubernetes-based stacks, optimizing for performance and cost.
•Help customers adapt workloads from AWS, GCP, or Azure to Crusoe infrastructure and explain tradeoffs.
•Document product gaps and bugs, channel customer feedback to Product, and create transition docs for stable post-sale handoffs.

Pay and Benefits

Salary: USD 155,000 - 200,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kPaid Parental

Key Requirements

•2+ years of hands-on experience building, deploying, or operating cloud infrastructure, ideally with exposure to AI/ML, HPC, or GPU workloads.
•Hands-on proficiency with at least one major cloud provider (AWS, GCP, or Azure), deploying and managing infrastructure.
•Experience deploying containerized workloads with Kubernetes or Docker.
•Strong Linux command-line skills and scripting ability in Python or Bash.
•Networking fundamentals (VPCs, subnets, load balancers, DNS, routing) and clear technical communication for demos and documentation.

Experience:AI/MLCloud infrastructureHPCGPU workloadsContainerized workloads

Skills:Technical communicationCustomer-facing instinctsPresentingDocumentationComposure

Tech Stack:KubernetesDockerAWSGCPAzurePythonBashLinuxVPCDNSTerraformAnsibleCloudFormationPyTorchRayKubeflowPrometheusGrafanaDatadogCloudWatch

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