Linux Support Engineer I

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: The shift for this position is Wednesday-Saturday, 2PM-12AM Central time, but can be hired remotely in any area.

What You’ll Do

• Be the first point of contact for all incoming technical support questions and handle all customer interactions with understanding, empathy, and transparency.

• Troubleshoot OS, hardware, and Lambda Stack issues for customers and provide guidance on the best technical solutions that suit their needs.

• Route and escalate tickets, as needed, to appropriate teams and departments while owning customer communication throughout the issue lifecycle.

• Work with our technical writing team to document solutions to common problems to allow for future customer self-service.

• Provide feedback to internal teams on technical issues our customers are facing and, above all, be the customer’s advocate.

• Work together in a cohesive, customer-first collaborative team environment, sharing your skills, knowledge, and experience.

You

• Have Linux administration experience in bare-metal, virtualized, and/or cloud environments.

• Familiarity with private or hybrid cloud environments, such as Azure, AWS, and/or OCI.

• Experience with monitoring and alerting for enterprise and cloud environments.

• Have Shell and Python scripting proficiency.

• Strong ability to curate and adhere to technical standard operating procedures.

• Possess excellent written and oral communication skills.

• Proven experience when handling multiple customer interactions in a fast-paced environment.

Nice to Have

• Familiarity with datacenter level hardware, including GPUs.

• Familiarity with ML / AI / Deep Learning.

• Experience with Zendesk ticketing.

• Wide flexibility for scheduling as we push for 24/7 support availability.

Salary Range Information 

Based on market data and other factors, the hourly range for this position is $31 - $45 per hour. 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

• We offer generous cash & equity compensation

• Investors include US Innovative Technology, Gradient Ventures, Mercato Partners, SVB

• 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 350+, 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 (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.