Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda’s mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU.
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.
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 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, ~400 employees (2025) 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
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.
