Designing the world's most advanced GPU systems for Deep Learning.
Deep Learning • Machine Learning • Artificial Intelligence
May 24
🏢 In-office - San Francisco
Designing the world's most advanced GPU systems for Deep Learning.
Deep Learning • Machine Learning • Artificial Intelligence
• Manage large scale deployments of GPU clusters in datacenter colocation around the country • Work closely with Data Center engineering and operations to ensure proper deployment of data center infrastructure requirements • Drive multiple simultaneous projects forward, assessing risks, and monitoring tasks • Proactively manage dependencies and anticipate/resolve execution issues • Partner with a full spectrum of cross-functional stakeholder, including Product, Engineering and Operations – to help ensure that we are building the right thing, testing correctly, deploying on time and meeting stated SLAs for various programs • Manage communication of progress/status with internal stakeholders and customer groups in various locations and time zones • Interact with internal and external stakeholders at various levels concerning resolution of technical and scheduling issues • Build strong partnerships across Lambda and leverage credibility and technical acumen to drive process improvements and efficiencies • Contribute to the development of new business opportunities and expansion of existing business opportunities
• Have 1-5 years of experience in program/project management for complex product development programs • Have a thorough understanding of agile and waterfall management techniques • Poses a technical background, with demonstrated ability to engage on technical topics - typically demonstrated by an Engineering degree or equivalent technical experience • Have excellent leadership and organizational skills • Are a strong communicator, able to structure internal and external communication • Strong ability to humbly lead by influence and by example • Knowledge and expertise using various project management tools • Comfort with ambiguity, and ability to create structure where needed
• We offer generous cash & equity compensation • Investors include Gradient Ventures, Google’s AI-focused venture fund • 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 • We have a wildly talented team of 250, and growing fast • Health, dental, and vision coverage for you and your dependents • Commuter/Work from home stipends for select roles • 401k Plan with 2% company match • Flexible Paid Time Off Plan that we all actually use
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