[Remote] Manager, HPC Support Engineering at Lambda

United States

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$160,000 – $240,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Cloud Computing, High-Performance ComputingIndustries

Requirements

Proven experience leading technical support or engineering teams, with a track record of building high-performing groups that deliver strong customer outcomes
Skilled at managing escalations, providing clear direction under pressure, and serving as the point of leadership in critical customer situations
Strong knowledge of HPC clusters, including GPU/InfiniBand systems, networking, and node-level troubleshooting
Advanced Linux administration and diagnostic skills
Skilled at motivating teams, setting direction, and developing engineers into strong technical contributors
Strong analytical and problem-solving skills with a proactive, action-oriented mindset
Action-oriented, accountable, and able to align team priorities with company and customer goals
Nice to have: Advanced degree in Computer Science, Engineering, or related field
Nice to have: Certifications in HPC, networking, or related technologies
Nice to have: Experience with Slurm, Kubernetes, InfiniBand, and other high-performance interconnects (RoCE, NVLink/NVSwitch)
Nice to have: Background supporting Private Cloud environments or other dedicated enterprise clusters
Nice to have: Experience supporting enterprise AI workloads across startups and Fortune 500 companies

Responsibilities

Lead, coach, and mentor a team of HPC Support Engineers, fostering both technical growth and customer-first execution
Ensure the highest quality of support for Lambda’s customers, who depend on our products for mission-critical workloads
Own customer escalations and incidents, engaging directly with enterprise customers during high-visibility situations
Partner with Product and Engineering teams to influence design decisions and ensure future offerings are supportable and reliable
Stay current on the latest HPC and NVIDIA technologies, applying that knowledge to improve customer outcomes
Develop and refine support processes, documentation, and workflows to ensure consistency and best practices
Monitor and report on team performance, driving improvements in responsiveness, resolution quality, and customer satisfaction
Manage team schedules, including on-call responsibilities, to ensure 24/7 coverage for critical issues
Lead by example — actively participating in troubleshooting and case resolution when needed

Skills

Key technologies and capabilities for this role

HPCNVIDIAGPU ClustersDeep LearningCloud InfrastructureSupport EngineeringCustomer EscalationsTeam Leadership

Lambda

Cloud-based GPU services for AI training

About Lambda

Lambda Labs provides cloud-based services for artificial intelligence (AI) training and inference, focusing on large language models and generative AI. Their main product, the AI Developer Cloud, utilizes NVIDIA's GH200 Grace Hopper™ Superchip to deliver efficient and cost-effective GPU resources. Customers can access on-demand and reserved cloud GPUs, which are essential for processing large datasets quickly, with pricing starting at $1.99 per hour for NVIDIA H100 instances. Lambda Labs serves AI developers and companies needing extensive GPU deployments, offering competitive pricing and infrastructure ownership options through their Lambda Echelon service. Additionally, they provide Lambda Stack, a software solution that simplifies the installation and management of AI-related tools for over 50,000 machine learning teams. The goal of Lambda Labs is to support AI development by providing accessible and efficient cloud GPU services.

San Jose, CaliforniaHeadquarters

2012Year Founded

$372.6MTotal Funding

DEBTCompany Stage

AI & Machine LearningIndustries

201-500Employees

Risks

Nebius' holistic cloud platform challenges Lambda's market share in AI infrastructure.

AWS's 896-core instance may draw customers seeking high-performance cloud solutions.

Existential crisis in Hermes 3 model raises concerns about Lambda's AI model reliability.

Differentiation

Lambda offers cost-effective Inference API for AI model deployment without infrastructure maintenance.

Nvidia HGX H100 and Quantum-2 InfiniBand Clusters enhance Lambda's AI model training capabilities.

Lambda's Hermes 3 collaboration showcases advanced AI model development expertise.

Upsides

Inference API launch attracts enterprises seeking low-cost AI deployment solutions.

Nvidia HGX H100 clusters provide competitive edge in high-performance AI computing.

Strong AI cloud service growth indicates rising demand for Lambda's GPU offerings.

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