Engineering Manager - Control Plane

Work set-up: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 
United States

Offer summary

Qualifications:

BS/MS in Computer Science or related field or equivalent experience., At least four years of engineering management experience, especially in relevant areas., Seven or more years of software engineering experience, including Python or Go., Experience managing teams in high-growth startup environments..

Key responsibilities:

  • Oversee design, implementation, deployment, and operations of cloud control plane services.
  • Lead and develop a team of senior and staff engineers.
  • Manage projects from concept to production, support, and maintenance.
  • Collaborate with cross-functional teams to align work with company goals.

Lambda logo
Lambda SME https://lambdalabs.com/
51 - 200 Employees
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Job description

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.

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Problem Solving
  • Decision Making
  • Social Skills
  • Organizational Skills
  • Communication

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