Lambda Labs

In 2012, Lambda started with a crew of AI engineers publishing research at top machine-learning conferences. We began as an AI company built by AI engineers. That hasn't changed. Today, we're on a mission to be the world's top AI computing platform. We equip engineers with the tools to deploy AI that is fast, secure, affordable, and built to scale. Whether they need powerhouse GPU hardware on-site or the flexibility of cloud-based solutions, we've got the horsepower to make it happen. Lambda’s AI Cloud has been adopted by the world’s leading companies and research institutions including Anyscale, Rakuten, The AI Institute, and multiple enterprises with over a trillion dollars of market capitalization. Our goal is to make computation as effortless and ubiquitous as electricity.

If you'd like to build the world's best deep learning cloud, join us.

• Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

We're seeking a strategic, results-driven Senior Technical Recruiter to build world-class teams for our rapidly scaling AI cloud infrastructure startup. As a Senior Recruiter, you'll join our lean, high-impact team and drive hiring across critical cloud engineering roles, distributed systems architects, and AI infrastructure specialists. You'll own the complete recruiting lifecycle while serving as a strategic partner to our leadership team as we scale our cloud platform to serve the next generation of AI applications.

What You’ll Do

• Lead end-to-end recruiting for our hyper-growth AI cloud infrastructure startup, prioritizing exceptional hiring manager partnerships and candidate experiences that reflect our engineering-first culture
• Source, screen, and evaluate top-tier talent across cloud infrastructure, distributed systems, DevOps/SRE and infrastructure engineering (high performance computing, networking, storage, orchestration) roles
• Partner with engineering leadership and founders to develop and execute aggressive hiring strategies including competitive intelligence, talent mapping, and analysis of the cloud infrastructure market
• Navigate complex technical interviews and guide decision-making processes across our distributed team of interviewers and hiring managers
• Leverage recruiting analytics and market insights to optimize hiring velocity, quality, and conversion rates in the competitive cloud infrastructure talent market
• Build and maintain recruiting dashboards and performance metrics that support our rapid platform scaling objectives
• Drive continuous innovation in our recruiting process, candidate experience, and employer branding to compete for the best cloud infrastructure talent globally

You

• Have 8+ years of full-cycle technical recruiting experience, preferably with high-growth startups or competitive tech companies (sourcing, screening, closing top-tier candidates)
• Prior experience recruiting at a high growth start-up or at an agency servicing similar companies
• Excel at evaluating candidates for both cultural alignment and deep technical competencies, particularly in cloud infrastructure, distributed systems, and infrastructure workload optimization
• Demonstrate genuine passion for cloud technologies, distributed systems, and AI infrastructure with the ability to quickly understand complex technical requirements and scalability challenges
• Master advanced sourcing techniques across LinkedIn Recruiter, Linkedin Talent Insights, GitHub, cloud engineering communities, open-source projects, and specialized infrastructure platforms
• Have extensive experience with modern ATS platforms and recruiting analytics tools to drive data-informed hiring decisions
• Thrive in fast-paced, ambiguous startup environments where priorities shift rapidly and scrappy execution is essential

Nice to Have

• Direct experience recruiting for cloud infrastructure startups, platform engineering teams, or Big Tech cloud divisions
• Deep understanding of the cloud infrastructure ecosystem, open-source communities, and key industry conferences (KubeCon, re:Invent, Google Cloud Next, etc.)
• Experience with Ashby or similar modern recruiting platforms
• Track record of closing candidates from top cloud companies (AWS, Google Cloud, Microsoft Azure, Snowflake, Databricks, etc.)
• Technical background or strong familiarity with cloud platforms, Kubernetes, distributed systems, and AI infrastructure optimization
• Experience recruiting in the San Francisco Bay Area's competitive cloud infrastructure talent market

Salary Range Information

Based on market data and other factors, the annual salary range for this position is $155,000 - $290,000. 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, ~350 employees (2024) and growing fast
• We offer generous cash & equity compensation
• Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.
• We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability
• Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
• Health, dental, and vision coverage for you and your dependents
• Commuter/Work from home 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.