Manager, Super Intelligence HPC

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.

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.

• 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.

• 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, Infini Band/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.

• Advanced degree in Computer Science, Engineering, or related field.

• Certifications in HPC, networking, or related technologies.

• Experience with Slurm, Kubernetes, Infini Band, 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.

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, ~400 employees…