Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda’s mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU.
If you'd like to build the world's best deep learning cloud, join us.
About the role
We are looking for a hands-on and customer-focused leader to build and guide our Super Intelligence HPC Support Engineering team. This team partners directly with Lambda’s largest and most complex customers — organizations operating hyperscale GPU clusters and mission-critical AI workloads at global scale.
As the Manager of this team, you’ll be responsible for ensuring Lambda delivers world-class support to the most demanding environments in AI. You’ll combine deep HPC technical expertise with strong leadership, enabling your engineers to solve the hardest problems while representing Lambda with credibility and confidence in high-stakes customer situations.
This role requires a balance of technical depth, customer engagement, and people leadership. You’ll mentor a team of senior engineers, own critical escalations, and serve as the bridge between Support, Product, Engineering, and Sales for our Super Intelligence business unit. Your ability to set direction, motivate a high-performing team, and advocate for customer success will directly influence Lambda’s reputation with the world’s top AI companies.
This position reports to the Director of Support.
What You'll Do
Lead & Develop: Build, coach, and mentor a team of Super Intelligence HPC Support Engineers, ensuring technical excellence and strong execution in customer-facing work.
Escalation Ownership: Take point on high-visibility incidents and escalations with hyperscale customers, ensuring timely, transparent, and high-quality outcomes.
Customer Advocacy: Represent the needs of Super Intelligence customers in cross-functional discussions, influencing product design and roadmap decisions to improve supportability.
Incident Leadership: Guide your team through major incidents, driving consistency in communication, coordination, and resolution under pressure.
Operational Excellence: Define and refine support processes, runbooks, and documentation tailored to hyperscale environments.
Partnership: Collaborate closely with Product, Engineering, and Data Center teams to ensure Lambda delivers reliable, scalable solutions at the largest levels of deployment.
Metrics & Accountability: Monitor team performance, drive improvements in SLA adherence, response/resolution quality, and customer satisfaction.
Hands-On Leadership: Step in to troubleshoot complex issues and model the standard of excellence expected from your team.
You
Proven track record leading technical support or engineering teams serving enterprise or hyperscale customers.
Skilled at managing customer escalations and major incidents with clarity, confidence, and urgency.
Deep expertise in HPC environments including GPU clusters, InfiniBand/RoCE networks, and Linux system administration.
Ability to guide engineers through troubleshooting at scale, from orchestration (Slurm/Kubernetes) down to kernel-level debugging.
Strong leadership presence: able to inspire, set direction, and build a culture of accountability and customer-first execution.
Excellent communication skills, capable of engaging with both engineers and executive stakeholders.
Nice to have
Advanced degree in Computer Science, Engineering, or related field.
Certifications in HPC, networking, or related technologies.
Experience with Slurm, Kubernetes, InfiniBand, and other high-performance interconnects (RoCE, NVLink/NVSwitch).
Background supporting Private Cloud environments or other dedicated enterprise clusters.
Experience supporting enterprise AI workloads across startups and Fortune 500 companies.
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.
About Lambda
Founded in 2012, ~400 employees (2025) and growing fast
We offer generous cash & equity compensation
Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.
We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability
Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Health, dental, and vision coverage for you and your dependents
Wellness and Commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible Paid Time Off Plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
Top Skills
What We Do
Lambda provides computation to accelerate human progress. We're a team of Deep Learning engineers building the world's best GPU workstations and servers. Our products power engineers and researchers at the forefront of human knowledge. Customers include Microsoft, MIT, Los Alamos National Lab, Disney, Tencent, Kaiser Permanente, Stanford, Harvard, Caltech, and the Department of Defense.
