Lambda에서 AI 클라우드 인프라를 보호할 Security Engineer를 채용합니다. 5년 이상의 보안 엔지니어링 경력과 Linux, Python/Go 활용 능력이 필수입니다. 탐지 로직 개발, 인프라 보안 강화, 사고 대응 및 보안 자동화 도구 구축을 주도하며, AI 모델과 데이터를 안전하게 보호하는 핵심 역할을 수행합니다. 주 4일 사무실 출근이 필요합니다.
Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco/San Jose/Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
Lambda Security protects some of the world's most valuable digital assets: training data, model weights representing immense computational investments, and the sensitive inputs required to leverage best-of-breed AI models. We're responsible for securing every byte that powers breakthrough artificial intelligence.
As a Security Engineer at Lambda, you'll touch many areas across the security program such as building detections, hardening infrastructure, reviewing designs, automating toil, and responding to incidents. Reporting to the Head of Security and partnering closely with Product Engineering, Data Center Operations and Engineering, IT, and embedded Technical Program Managers, your work shapes the security posture customers rely on.
Security at Lambda directly enables customer trust and unlocks enterprise revenue. Our customers run billion-dollar training jobs and irreplaceable model weights on our infrastructure; our job is to make Lambda the safest place to build with AI. Over the next 12-18 months, you'll help deliver our 2026 security roadmap, expand detection coverage for AI-specific threats, help mature our incident response program, and ship security automation that other engineering teams adopt voluntarily. You'll also have direct access to LLMs hosted on Lambda's own infrastructure to push security operations beyond what's possible elsewhere.
Security is a broad field, and we don't expect you to be an expert in everything our team does, but we do expect you to learn quickly, ship across domains, and support the specialists around you. If you enjoy moving between detection, architecture, and platform work and want to build security alongside the engineers you're protecting rather than from the outside then we'd love to talk.
We value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team. If you do not exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for this role. Your application is not a waste of our time.
Build and Tune Detections: Develop and refine detection content across our SIEM and EDR to catch threats targeting customer data, model weights, and infrastructure.
Respond to Incidents: Participate in on-call, lead investigations end-to-end, and turn each incident into automation, playbooks, or controls that prevent the next one.
Harden Systems Directly: Remediate vulnerabilities and security findings in production, partnering with engineering teams when fixes cross team boundaries.
Review Architectures and Code: Provide actionable security feedback on high-level designs and individual changes, and turn recurring review patterns into reusable standards.
Build Security Tooling: Ship Python or Go services that automate evidence collection, vulnerability triage, and other toil, using Lambda's hosted LLMs where they meaningfully accelerate the work.
Partner Across Engineering: Work with Product Engineering, Data Center Operations and Engineering, IT, and Legal to land security improvements at the moments they're cheapest to adopt.
Balance Strategic and Tactical: Recognize when to invest in a long-term fix versus when "good enough" is exactly that, and bias toward measurable forward progress.
5+ years of demonstrated security engineering experience, either directly as a security engineer or as an engineer driving security outcomes. We also welcome equivalent backgrounds: significant formal security training paired with strong engineering experience.
A track record of working across security domains; for example, shipping detection work in one role and architecture, platform, or vulnerability management work in another. We don't expect mastery of every domain; we do expect demonstrated breadth and eagerness to learn.
Thrives in high-speed, high-ambiguity startup environments where priorities shift regularly and structure must be built while executing.
Strong hands-on Linux experience that showcases your ability to protect both our applications and the cloud we build underneath them.
Comfortable solving problems in Python, Go, or a similar language, with the discipline to ship production-grade tooling rather than only one-off scripts.
Excellent collaboration with technical teams both with and without authority (we're all on the same team!).
You've led or developed a meaningful component of a security program (detection & response, security architecture, platform/tooling, vulnerability management, GRC operations, etc.).
Experience driving or providing significant evidence for compliance audits such as SOC 2, ISO 27001, PCI-DSS, HIPAA/HITECH, or FedRAMP.
Significant experience operating large-scale production services (e.g., SRE across thousands of hosts) or with virtualization at scale (KVM, Hyper-V, Xen).
You've built or deployed critical security infrastructure such as SIEM, SOAR, EDR, IDS/IPS, or canary/honeypot systems.
Experience with AI/ML infrastructure security, model security, or protecting high-value computational workloads.
Enthusiasm about leveraging direct access to state-of-the-art LLMs to push security operations beyond the status quo, including through automated triage, intelligent alert correlation, AI-assisted code review.
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, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
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
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.
