Engineering Manager - Control Plane

1 Month ago • 7 Years + • Software Development & Engineering • $330,000 PA - $495,000 PA

Job Summary

Job Description

Lambda is seeking an Engineering Manager for its Control Plane. The role involves overseeing the design, implementation, deployment, and operations of core cloud control plane services. The manager will lead and grow a team of senior and staff software engineers, manage projects from concept to production, and collaborate with other leaders to align team efforts with company goals. Responsibilities include driving engineering best practices, providing technical guidance, mentoring, and acting as a liaison between customer-facing and infrastructure teams. The position requires collaboration with product and engineering teams to build cutting-edge orchestration and scheduling systems for AI workloads. A minimum of four years of engineering management experience and seven years of software engineering experience are required, with expertise in Python or Go and large-scale distributed systems.
Must have:
  • 4+ years engineering management experience
  • 7+ years software engineering experience
  • 2+ years experience in Python or Go
  • Experience with large-scale distributed systems
  • Experience managing teams in high-growth startups
  • Excellent communication and interpersonal skills
  • Strong problem-solving and project management skills
  • Deep understanding of systems programming, networking, storage, databases
  • Expertise in containerization and virtualization (Docker, Kubernetes, KVM)
  • Ability to balance feature delivery with scalability
Good to have:
  • Experience in AI/ML or computer hardware industry
  • Proven track record designing and implementing large-scale cloud systems
  • Familiarity with IPO requirements, compliance, and security
  • Excellent organizational skills
  • Strong ability to guide technical discussions
  • Background in multi-region deployment and high availability architectures
  • Experience directing fault-tolerant systems with automated recovery
Perks:
  • Generous cash & equity compensation
  • Health, dental, and vision coverage for dependents
  • Wellness and Commuter stipends
  • 401k Plan with 2% company match (USA employees)
  • Flexible Paid Time Off Plan

Job Details

Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide.


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.


Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.

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 $330,000-$495,000. 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

  • Wellness and Commuter 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.

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