Engineering Manager - Control Plane

Job Posted 14 Days Ago Posted 14 Days Ago
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San Francisco, CA
285K-385K Annually
Senior level
Software
The Role
Lead the design and operations of core cloud control plane services while managing a high-performing team, driving best practices and innovation in AI cloud solutions.
Summary Generated by Built In

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: 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 Do

  • Oversee the design, implementation, deployment, and operations of our core cloud control plane services

  • Lead and grow talented team of senior and staff level software engineers

  • Lead projects from concept through production release, support, and maintenance

  • Collaborate with fellow Engineering Managers and leadership to align your team’s work with company goals and customer needs

  • Drive engineering best practices and operational excellence within the team (including documentation, ticketing, code reviews, testing, etc)

  • Provide technical guidance and mentorship to foster a culture of continuous learning and growth

  • Serve as the glue between customer-facing dashboard team and low-level infrastructure teams

  • Collaborate with product and engineering teams to ideate and build cutting edge orchestration and scheduling systems tailored to modern AI workloads

You

  • BS/MS in Computer Science or a related field, or equivalent professional experience

  • At least four years of engineering management experience, especially in a related application area

  • At least seven years of software engineering or individual contributor experience, including at least two years of experience in Python or Go, with significant exposure to designing, building, and maintaining large-scale, high-performance distributed systems

  • Demonstrated experience managing teams in a high-growth startup environment

  • Excellent interpersonal and communication skills with a proven ability to develop and maintain effective business relationships

  • Strong problem solving, project management, and decision making skills, with a track record of successfully driving projects to completion

  • Deep understanding of software and hardware concepts, systems programming, networking, storage, database systems

  • Expertise in modern containerization and virtualization technologies, e.g. Docker, Kubernetes, KVM

  • Ability to balance fast-paced product feature delivery with technical maturity and scalability

  • Familiar with the requirements and challenges involved in preparing a company for an IPO, including compliance and security

  • Excellent organizational skills, with a knack for bringing order to chaos

  • Strong ability to guide deep technical discussions to meaningful conclusions and actionable plans

  • Background in multi-region deployment strategies and high availability architectures 

  • Experience directing the design and implementation of fault-tolerant systems with automated recovery mechanisms

Nice to Have

  • Experience in the AI/ML or computer hardware industry

  • Proven track record of designing and implementing large scale cloud systems

Salary Range Information 

Based on market data and other factors, the annual salary range for this position is $285,000-$385,000. 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 Lambda

  • Founded in 2012, ~350 employees (2024) and growing fast

  • We offer generous cash & equity compensation

  • Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.

  • 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

  • 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.

Top Skills

Docker
Go
Kubernetes
Kvm
Python
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The Company
HQ: San Francisco, CA
106 Employees
Hybrid Workplace
Year Founded: 2012

What We Do

Lambda provides computation to accelerate human progress. We're a team of Deep Learning engineers building the world's best GPU workstations and servers. Our products power engineers and researchers at the forefront of human knowledge. Customers include Microsoft, MIT, Los Alamos National Lab, Disney, Tencent, Kaiser Permanente, Stanford, Harvard, Caltech, and the Department of Defense.

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