Lambda Labs

Title: Security Engineer Location: San Francisco Office (Fremont St); Bellevue, WA; San Jose Office (First St) Department: Data Center Business Job Description: 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. About the Role 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. What You'll Do - 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. What We Think a Candidate Needs to Demonstrate to Succeed - 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!). Nice to Have - 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. Salary Range Information 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. Compensation - San Francisco / San Jose$296K – $395K - Bellevue$266K – $356K

• Lead the response to critical (SEV-1 / SEV-2) incidents impacting AI infrastructure, GPU clusters, networking, storage, and data center operations. • Serve as the Incident Commander during major outages, coordinating engineering, networking, facilities, and vendor teams. • Act as the liaison between leadership and external teams during incidents/post-incidents to provide updates and status summaries. • Own the incident response lifecycle including: - Assisting Technical Triage - Escalation - Coordination - Resolution • Ensure timely and accurate communication with internal stakeholders and leadership. • Maintain incident response documentation and operational playbooks. • Conduct analysis on incidents and identify patterns/trends for improvement in response and systems reliability. • Work in an On-Call Rotation to respond to, lead, and coordinate incidents • Drive alignment during outages involving multiple infrastructure layers. • Lead post-incident reviews (PIRs) and root cause analysis. Identify systemic reliability gaps and implement corrective actions.

• Strategic Technology Leadership for Key Accounts • Serve as the primary technical liaison for Lambda's strategic Superintelligence accounts • Cultivate and sustain executive level technical relationships, establishing Lambda as a trusted technology partner and strategic advisor • Drive multi-year technology roadmaps aligned with customer business objectives and Lambda's product portfolio • Influence customer technology strategy and adoption at the executive level • Represent Lambda at executive briefings, board meetings, and strategic planning sessions • Partner with Global Account teams to drive strategic account growth and expansion • Lead architectural reviews and technology assessments at the enterprise level • Define and articulate business value propositions, ROI models, and TCO analyses for executive stakeholders • Orchestrate cross-functional teams including Solutions Engineers, Forward Deployed Engineers, Professional Services, and Product Management • Own technical escalations and serve as the Executive Technical Sponsor for critical customer initiatives • Drive adoption of Lambda's strategic initiatives within key accounts • Establish yourself as a trusted advisor on AI/ML transformation and cloud strategy • Guide customers through digital transformation journeys and emerging technology adoption • Publish thought leadership content, speak at industry events, and represent Lambda in executive forums • Influence Lambda's product strategy based on strategic customer needs and market trends • Mentor and develop technical talent across the organization

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 or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. What You’ll Do Oversee the end to end AP process including vendor onboarding, 3 way match, invoice processing, payment runs and Corporate Credit Card transactions Oversee the end to end AR process including customer billing, collections and cash application Partner closely with applicable internal stakeholders to support each process end to end Build and refine credit, collections, and dispute resolution processes Strengthen internal control environment and support SOX / IPO readiness initiatives Support system implementations, upgrades, and integrations (e.g., ERP, billing, procurement systems) Assist with audit requests and compilation of supporting documentation Manage and mentor a growing team of AR/AP specialists, providing coaching and development Set performance expectations, ensure accountability, and foster a culture of continuous improvement You (Add bullet points) Bachelor’s degree in Accounting, Finance, or related field preferred 5+ years of progressive AR/AP experience, including 2+ years in a supervisory or lead role Experience working within a high-growth or rapidly changing environment is strongly preferred Strong working knowledge of NetSuite Experience with AR/AP workflow tools (ChargeBee, Bill.com , Coupa, Tipalti, Zip, etc.) Proficiency in Excel or Google Sheets Strong understanding of accounting principles and month-end close processes Demonstrated ability to streamline processes and implement automation Excellent communication skills, cross-functional collaboration, and stakeholder management Nice to Have Experience working in a fast paced, high-growth technology environment Experience with AI, SaaS, or consumption-based business models Demonstrated skill in process automation and system implementations Comfort handling ambiguity and working with minimal supervision Initiative to apply knowledge and recommend well-considered improvements Salary Range Information 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. About Lambda 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 A Final Note: You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills. Equal Opportunity Employer 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.