Lambda

HRBP - Engineering

San Francisco, California, United States

$145,000 – $209,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Consulting, AI & Machine LearningIndustries

Requirements

Candidates should have a Bachelor's degree in Human Resources, Business Administration, or a related field. A minimum of 5 years of experience in an HR business partner role, particularly within engineering or technology sectors, is required. Strong interpersonal and communication skills are essential, along with a proven ability to influence and drive change within teams.

Responsibilities

The HRBP will champion Lambda's culture and values by promoting and integrating them across teams. They will provide strategic HR partnering to engineering teams, ensuring alignment with business needs and goals. The HRBP will support team leadership by offering guidance on key initiatives and team dynamics. They will develop and execute HR strategies tailored to engineering teams and provide performance management support to leaders. Additionally, they will take an active role in talent acquisition and development, ensuring new hires align with team values.

Skills

HR Strategy
Performance Management
Talent Acquisition
Culture Championing
HR Partnering
Team 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.

Key Metrics

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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