Engineering Manager - Control Plane
San Francisco Office
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.
ApplyJob Profile
Requires presence in San Francisco office 4 days a week
Benefits/PerksCash & equity compensation Commuter/work from home stipends Equity Equity Compensation Flexible paid time off Generous cash Health, dental, and vision coverage Work from home day
Tasks- Collaborate with teams
- Drive best practices
- Guide technical discussions
- Lead engineering team
- Oversee design and deployment
- Provide mentorship
- Provide technical guidance
AI AI/ML Cloud systems Communication Containerization Database Systems Deep Learning Distributed Systems Docker Engineering management Go Kubernetes KVM Leadership Machine Learning ML Networking Project Management Python Software Engineering Virtualization
Experience7 years
EducationB.S. Computer Science Engineering MS Related Field
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9