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.
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.
What You'll DoOversee the design, implementation, deployment, and operations of projects related to our cloud orchestration servicesHire and grow a talented team of senior and staff level software engineersLead projects from concept through production release, support, and maintenanceCollaborate with fellow Engineering Managers and leadership to align your team's work with company goals and customer needsImplement and support engineering best practices within the team (including code reviews, testing, etc) and drive operational excellenceAssist the support team in resolving escalated technical issuesProvide technical guidance and mentorship to foster a culture of continuous learning and growthYouBS/MS in Computer Science or a related field, or equivalent professional experienceAt least two years of engineering management experience, especially in a related application area, or experience in a Tech Lead role with a strong desire to grow into a management positionAt least seven years of software engineering or individual contributor experience, including at least two years of experience in Python, with significant exposure to designing, building, and maintaining large-scale, high-performance distributed systemsDemonstrated experience managing teams in a high-growth startup environmentExcellent interpersonal and communication skills with a proven ability to develop and maintain effective business relationshipsStrong problem solving and decision making skills, with a track record of successfully driving projects to completionDeep understanding of software and hardware concepts, including Linux kernel internals, systems programming, networking, storage, database systems, securityExpertise in modern containerization and virtualization technologies, e.g. Docker, Kubernetes, KVMNice to HavePrior experience as a co-founder or early-stage startup team memberExperience in the machine learning or computer hardware industryProven track record of designing and implementing large scale cloud systemsDeep understanding of algorithms, data structures, and performance optimization techniquesSalary Range InformationBased on market data and other factors, the salary range for this position is $190,000 - $270,000. 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 LambdaWe offer generous cash & equity compensationInvestors include US Innovative Technology, Gradient Ventures, Mercato Partners, SVBWe are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGWe have a wildly talented team of 350+, and growing fastHealth, dental, and vision coverage for you and your dependentsCommuter/Work from home stipends for select roles401k Plan with 2% company matchFlexible Paid Time Off Plan that we all actually useA 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 EmployerLambda 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.
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