62 Lambda Big Data Engineer Jobs Hiring Near You

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 role will require up to 80% Travel. Preference will be given to candidates who live in the Central, Mountain or Pacific regions.

What You'll Do

Lambda, Inc. is seeking a highly skilled and experienced data center technician to join our Infrastructure deployment team. As a member of AI Infrastructure Deployments you will be the on-site face of Lambda to vendors and contractors for data center deployments. You will be responsible for completing deployments and improvements of Lambda's integrated data center solutions. You will collaborate with your teammates and cross-functional teams to pilot new technologies, physically deploy large AI/ML clusters, setup network configurations, and build out Lambda data center locations. Additionally, you will interface with Hardware Engineering and Supply Chain teams to comply with operational standards and requirements to improve deployment quality and speed. Your focus will be on becoming skilled at both datacenter builds for high performance computing environments as well as the deployment of AI/ML systems.

Data Center Deployments:

• Be a primary deployment member for major cluster / data center deployments as well as be able to respond to smaller on-premise deployments, if needed.

• Develop your skillset for new data center deployments, deployment planning, and technical AI infrastructure and cluster configurations.

• Be responsive to project management, Supply Chain, HPC logical configuration, and Data Center Operations teams during deployment planning and execution.

• Collaborate with cross-functional teams to address deployment-related challenges and optimize regional operations.

• Interface with vendors to guide the build out of Lambda data center to meet exacting standards.

• Understand power/cooling requirements as well as cabling needs required within data center space to support high performance infrastructures to guide data center build outs.

• Participate in technical discussions and provide input on data center integration and deployment strategies.

• Work closely with cross-functional teams, including Hardware Engineering, Software Engineering, Supply Chain, Customer Experience and Sales, to align data center solutions with business goals.

AI / ML Infrastructure:

• Be conversant on infrastructure components (compute, storage, networking) used in deployments. Understanding component configuration and integration to guide system deployments, design, and operations.

• Collaborate with stakeholders to understand customer requirements and translate them into actionable plans.

• Interface with Hardware Engineering and Architecture teams to develop operational standards and requirements for infrastructure deployments.

Operational Standards and Requirements:

• Follow best practices and guidelines for efficient and consistent data center operations.

• Ensure compliance with industry standards and regulations in datacenter safety.

Continuous Improvement and Innovation:

• Identify opportunities for process improvement and operational efficiency in data center integration and deployment.

• Stay updated with the latest industry trends, technologies, and best practices.

• Drive innovation and propose new solutions to enhance data center operations.

You

• Experience in data center operations and integration, preferably in a leadership role.

• Experience with large scale data center and infrastructure deployments.

• Understanding of data center design, deployment, and architecture.

• Understanding of deployment planning.

• Knowledge of industry standards and regulations related to data center operations.

• Problem-solving and analytical skills, with the ability to address data center challenges.

• Communication and interpersonal skills to effectively collaborate with cross-functional teams and stakeholders.

• Provide guidance to numerous teams involved in systems deployments.

Nice to Have

• Familiarity with hardware engineering, supply chain, and inventory management processes. (NetBox, Jira, etc.)

• Knowledge of high performance computing technologies and their integration with data center operations.

• Expertise with DGX & HGX based systems architecture.

• Professional certifications related to data center operations and integration.

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.