Security Engineer - Detection & Response at Lambda

San Francisco, California, United States

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$296,000 – $445,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Cloud ComputingIndustries

Requirements

Have 3+ years of hands-on security experience

Responsibilities

Qualify reports and lead response activities from initial triage through remediation and retrospective
Develop tools and workflows that accelerate incident response and reduce mean time to resolution
Drive prioritization and remediation of security findings across engineering teams in coordination with Security Technical Program Management
Participate in on-call rotation, ensuring rapid response to security events that threaten customer data or operations
Create and tune detection rules and alerts that identify threats across Lambda's infrastructure before they impact customers or revenue
Research and operationalize threat intelligence specific to AI infrastructure and Lambda's unique threat landscape
Proactively search for indicators of compromise and suspicious activity that automated detection might miss
Leverage Lambda's hosted LLMs to create AI-powered threat detection, automated triage, and intelligent alert correlation
Support periodic tabletop exercises and red team activities to test and improve detection coverage and response capabilities
Build and operate detection systems
Lead incident investigations
Develop threat intelligence capabilities
Contribute to red team activities
Coordinate closely with Security Technical Program Management to drive prioritized security remediations across the organization
Implement enterprise-grade detection capabilities
Automate incident response workflows
Develop threat hunting programs
Build tooling that enables 24/7 security operations

Skills

Detection Engineering

Incident Response

Threat Hunting

Threat Intelligence

Red Teaming

Automation

Security Operations

LLM Integration

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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