Staff Cloud Support Engineer
Crusoe · San Francisco, California
- Location
- San Francisco, California, USA
- Employment
- Full time
- Level
- Staff
- Posted
- 7 months ago
About this role
Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack - from electrons to tokens - to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster.
We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that - with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.
We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved - people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.
If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe.
About the Role:
As a Staff Cloud Support Engineer, you are a technical authority within Crusoe Cloud and a force multiplier across Customer Experience, SRE, Networking, Fleet, and Product teams.
You operate beyond ticket resolution. You design reliability guardrails, influence architecture decisions, mentor engineers, and directly protect revenue by preventing large-scale incidents. You bring deep expertise in Linux systems, Kubernetes, networking, and AI/ML infrastructure, and apply that knowledge with strong customer focus.
You are comfortable operating in ambiguity, leading incident response, and shaping how Crusoe scales high-performance AI infrastructure globally.
What You’ll Be Working On
Technical Leadership & Escalations
Serve as highest-level escalation point for complex P1/P0 incidents.
Lead cross-functional root cause investigations involving compute, networking (IB/RDMA/RoCE), storage, and orchestration layers.
Partner with SRE, Software teams (Storage, Networking, Compute, K8) to design systemic fixes rather than recurring workarounds.
Reliability Architecture
Design and improve node validation, burn-in processes, performance baselining, and release readiness.
Influence Kubernetes architecture, workload orchestration (Slurm, Terraform), and AI/ML cluster stability.
Reduce MTTR and incident recurrence through structural improvements.
AI/ML Infrastructure Expertise
Troubleshoot NCCL, IB, GPU driver/firmware issues, distributed training failures.
Support complex AI workloads (training + inference) with performance tuning and observability improvements.
Customer-Facing Authority
Act as technical advisor during high-risk customer incidents.
Deliver executive-ready RCAs with clarity and confidence.
Drive trust through transparency and technical depth.
Mentorship & Standards
Mentor P3/P4 engineers.
Define SOPs and technical standards for support excellence.
Partner with Enablement to raise the technical bar across the organization.
What You Bring to the Team:
8+ years experience in SRE, DevOps, HPC, or Cloud Infrastructure roles.
Advanced Linux systems expertise.
Deep Kubernetes operational experience (CKA-level or higher).
Strong networking knowledge: Infiniband, RDMA, RoCE, SDN.
Experience supporting AI/ML workloads at scale (GPU clusters).
Proven track record of resolving multi-layer, distributed system failures.
Strong customer communication and executive-facing presence.
Benefits:
Competitive compensation
Restricted Stock Units
Paid time off & paid holidays
Comprehensive health, dental & vision insurance
Employer contributions to HSA account
Paid parental leave
Paid life insurance, short-term and long-term disability
Professional development & tuition reimbursement
Mental health & wellness support
Commuter benefits (parking & transit)
Cell phone stipend
401(k) Retirement plan with company match up to 4% of salary
Volunteer time off
Compensation Range
Compensation will be paid in the range of up to $156,000 - $190,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data.
Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.
As published by Crusoe. Applications are handled on their site.
Skills this posting mentions
About Crusoe
Crusoe is building the World’s Favorite AI-first Cloud infrastructure company. We’re pioneering vertically integrated, purpose-built AI infrastructure solutions trusted by Fortune 500 companies to power their most advanced AI applications. Crusoe is redefining AI cloud infrastructure, with a mission to align the future of computing with the future of the climate. Our AI platform is recognized as the “gold standard” for reliability and performance. Our data centers are optimized for AI workloads and are powered by clean, renewable energy.
All 371 openings at CrusoeOne click, then it is written
Apply to Crusoe with a resume written for this role.
Queue Staff Cloud Support Engineer and I read the posting, rewrite your resume against it, draft the cover letter, and score the fit. Then you press send, or press one button and I fill in Crusoe’s form for you.
01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
03Each one is written up
Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.
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Paste your career in once. Every application after that is written for you.
Drop a resume or a LinkedIn URL. I rank the live openings against it, rewrite the resume and write a cover letter for the best of them, and fill in the employer's form when you press the button. You read, you decide what goes out.
01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
03Each one is written up
Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.
- New matches ranked and written before you are up.
- Every bullet stays inside what your history supports. Nothing invented.
- Queued, submitted, interviewing, offer: one screen, not a spreadsheet.
500 free credits on sign-up. No card. Nothing is sent until you say so.
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