The ad says“4+ years of hands-on technical experience with GPU/HPC infrastructure, cloud platforms, Kubernetes, or large-scale Linux systems”
The ad says“4+ years of hands-on technical experience with GPU/HPC infrastructure, cloud platforms, Kubernetes, or large-scale Linux systems”
The ad says“4+ years of hands-on technical experience with GPU/HPC infrastructure, cloud platforms, Kubernetes, or large-scale Linux systems”
The ad says“4+ years of hands-on technical experience with GPU/HPC infrastructure, cloud platforms, Kubernetes, or large-scale Linux systems”
The ad says“Clear written and verbal communication for status updates and technical documentation”
Values
The ad says“Experience building runbooks or checklists that outlived the engagement they were built for”
The ad says“Familiarity with project/program tracking tools and structured status reporting”
The ad says“Experience building runbooks or checklists that outlived the engagement they were built for”
The ad says“Familiarity with project/program tracking tools and structured status reporting”
The Superintelligence Technical Success Engineer is part of Lambda’s Superintelligence business unit, dedicated to our largest, most strategic customers operating in the most complex environments
This role owns taking signed deployment from contract to a live, fully operational production environment
The role requires strong technical acumen to validate the build against what was promised, spot gaps, and work effectively with engineering and infrastructure teams to get issues resolved and requirements clearly understood
You’ll work alongside the account team, to make sure the customer’s requirements and expectations are clearly understood and addressed throughout deployment
This role calls for someone who’s ready to dive in wherever the engagement needs them
Take signed deployments, from contract, to live, to working production environments, validating configuration, connectivity, storage, and compute against what was promised
Bring technical depth to validation and troubleshooting conversations — asking the right questions, spotting gaps, and working closely with engineering and infrastructure teams to drive issues to resolution
Coordinate with Infrastructure, Engineering, Product, and Data Center teams to close technical dependencies and resolve blockers
Own a current, accurate technical picture of the deployment — what’s built, what’s open, what’s at risk
Keep stakeholders informed with clear, regular status updates: RAG status, top risks, and what’s being done about them
Guide the customer through onboarding to their first successful production workload
Be the customer’s go-to technical contact through deployment and early production
Feed recurring technical patterns back into reusable runbooks, checklists, or automation
Transition out once the customer is stable and self-sufficient, keeping the broader account team informed along the way
Benefits
Health, dental vision
401k match
5 sick days and 12 paid holidays
Flexible PTO
Paid parental, medical, and caregiver leave
Preferred experience
Clear written and verbal communication for status updates and technical documentation
Track record of coordinating across engineering and infrastructure teams to close out technical dependencies
Comfortable being the technical voice in the room able to validate builds, spot gaps, and hold engineering teams accountable for resolving them
4+ years of hands-on technical experience with GPU/HPC infrastructure, cloud platforms, Kubernetes, or large-scale Linux systems
A bias toward diving in and taking ownership, rather than waiting for a fully defined process
Strong troubleshooting instincts and a willingness to get into the weeds of networking, storage, or compute issues
Exposure to large-scale GPU cluster deployments
Familiarity with project/program tracking tools and structured status reporting
Experience building runbooks or checklists that outlived the engagement they were built for
