Jobs at Lambda

Engineering Manager

Company: Lambda

Location: Remote

Posted Aug 06, 2023

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. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Docker, Kubernetes, KVMYou will be successful in this role if youHave led and taken full ownership over large, ambiguous, cross team projects from conception to productionEnjoy moving fast and making a large business impactValue working on a team of high performers that hold each other accountableAre a self-starter, curious, and not afraid to ask when in doubtAre a quick learner and enjoy learning new technologiesValue working on a low ego team that emphasizes strong communication, collaboration, and getting to the right answer as a team Care deeply about well-tested codeNice 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 techniquesAbout LambdaWe offer generous cash & equity compensationInvestors include Gradient Ventures, Google’s AI-focused venture fundWe 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 150, and growing fastOur remote workforce, based on role, is across the U.S., with headquarters in San Jose, CAHealth, dental, and vision coverage for you and your dependentsCommuter/Work from home stipends401k PlanFlexible Paid Time Off Plan that we all actually useSalary Range Information Based on market data and other factors, the salary range for this position is $178,000-$230,000. Lambda's on-prem systems power research and engineering at Intel, Microsoft, Kaiser Permanente, major universities, and the Department of Defense.If you'd like to build the world's best deep learning cloud, join us. 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 growthQualificationsBS/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. Lambda's GPU cloud is used by deep learning engineers at Stanford, Berkeley, and MIT. 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.A Final Note:You do not need to match all of the listed expectations to apply for this position.