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.
Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.
What You’ll Do
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
Own Technical Strategy and Business Outcomes
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
Technology Vision and Thought Leadership
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
You
Have 15+ years of experience designing, deploying and scaling cloud infrastructure
Have 6+ years of experience working directly with C-suite executives and senior leadership teams in advisory or consultative capacities
Have 5+ years driving cloud transformation initiatives at enterprise scale
Have proven track record of influencing C-suite executives and board-level stakeholders
Have deep expertise in AI/ML technologies and their business applications
Have experience with NVIDIA DGX/HGX/MGX systems, InfiniBand &RoCE networking, and large-scale GPU cluster deployments
Have experience with storage architectures including distributed file systems, object storage, high-performance parallel file systems, and NVMe-based solutions
Have hands-on experience with LLM training, fine-tuning, and inference at scale
Have experience with enterprise architecture frameworks and governance models
Have experience managing or influencing deals worth $1B+ annually
Have strong business acumen with ability to translate technology into business outcomes
Have experience navigating complex organizational dynamics and driving consensus
Have track record of building strategic partnerships and alliances
Excel at executive communication, presentation, and storytelling
Demonstrate thought leadership through publications, speaking engagements, or industry recognition
Nice to Have
MBA or advanced degree in Computer Science, Engineering, or related technical field
Experience as a CTO, VP of Engineering, Chief Architect, or Technical Fellow at a technology company with $100M+ revenue
Track record working with AI labs, research institutions, or frontier model companies
Board advisory experience for technology companies
Published peer-reviewed research, whitepapers, or patents specifically in distributed computing, GPU acceleration, or large-scale ML training infrastructure
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
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.
Lambda is a leader in AI cloud infrastructure serving tens of thousands of customers ranging from AI researchers to enterprises and hyperscalers. The company provides cloud APIs, systems, and infrastructure services built on large-scale GPU clusters designed to make compute as accessible as electricity. Lambda's mission is to democratize access to superintelligence through their cloud platform, enabling customers to leverage AI capabilities at scale. Their engineering teams are responsible for building and scaling the Lambda cloud offering, including the website, cloud APIs, internal tooling for system deployment, management, and maintenance.
