Lambda Technical Success Engineer at Lambda responsible for taking signed deployments to live production environments and validating technical builds. Works closely with engineering and infrastructure teams to resolve issues.
Responsibilities
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
4+ years of hands-on technical experience with GPU/HPC infrastructure, cloud platforms, Kubernetes, or large-scale Linux systems
Qualification
Strong troubleshooting instinctsSalary Range InformationFounded in 2012
Required
4+ years of hands-on technical experience with GPU/HPC infrastructure, cloud platforms, Kubernetes, or large-scale Linux systems
Strong troubleshooting instincts
Ability to coordinate across engineering and infrastructure teams
Preferred
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
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
