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Engineering Manager, Fleet Engineering
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Lambda·San Francisco Office (Fremont St)·22 авг.

Engineering Manager, Fleet Engineering

🏢 ОфисMiddleПолная занятость
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Наша компания

Founded in 2012, with 500+ employees, and growing fast Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG Our values are publicly available:

Чем предстоит заниматься

Fleet Engineering owns the full lifecycle of Lambda's production systems infrastructure — new product introduction, deployment, operation, and reliability of our GPU fleet. We enable the building and running of that infrastructure with speed, ease, and quality. The Fleet Engineering teams
HPC Deployments — Turns bare metal into production-ready capacity: ensure firmware leveling, system burn-in to shake out early failures, and validation of server performance and correctness, through to the InfiniBand fabric and GPU clusters
Fleet Reliability — Day-2 operations across the fleet. Keeps systems healthy and keeps as much of the fleet in service for as much of its useful life as possible
Fleet Orchestration / Data — Owns our production source of truth system. Synchronizes data from upstream systems and holds the line on correctness and quality, because everything automated downstream depends on it
Fleet Orchestration / Automation — Owns the workflow orchestration system which people use to safely work on fleet systems for workflows that include: locking hosts, running firmware leveling jobs, OS installs, burn-in and validation, and reporting on work in flight and its results
Fleet Foundation — Builds the host enablement tooling systems: OS and ZTP switch provisioning, firmware management, out-of-band access, and power management
The work is highly cross-functional, carries executive visibility, and has a direct impact on Lambda and our customers. Fleet Engineering is at the forefront of delivering on-time, high-quality GPU capacity while driving efficiency at scale
We are hiring multiple Engineering Managers for the following teams: Fleet Reliability, HPC Deployments, Fleet Foundation, Fleet Orchestration / Automation. This is a single application for all of them: you apply once, we get to know you, and we match you to the team where your strengths land best
We value diverse backgrounds, experiences, and skills, and we're excited to hear from candidates who bring a unique perspective. If you don't exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for this role. Your application is not a waste of our time
Lead and grow a distributed team of top-talent engineers responsible for the deployment and operation of production systems infrastructure
Work cross-functionally to deliver projects and deployments on time, ensuring alignment across stakeholders
Identify opportunities for efficiency gains in the tools, processes, and automation that teams across the organization rely on day to day
Give stakeholders clear visibility into project progress, risks, and outcomes
Participate in qualification efforts for new technologies entering our production deployments
Drive outcomes by managing staff allocation, project priorities, deadlines, and deliverables
Hold regular 1:1s, give constructive feedback, and support career development for your team
Contribute to reliability through participation in our Incident Management and Review programs

Наши требования

Depth in any one of these is a strong signal, and helps us place you on the right team. Nobody has all of them
Linux systems administration, TCP/IP networking, automation, and scripting
Bare metal provisioning and lifecycle management — PXE, Redfish, IPMI, BMC, DHCP, DNS
Strong coding ability in at least one language, plus comfort with APIs, distributed systems, and automation pipelines
The technologies underpinning our cloud business: GPU acceleration, virtualization, cloud computing
Datacenter physical infrastructure: racks, switches, InfiniBand fabric, power domains
Network source-of-truth or DCIM tooling (NetBox or similar), and data quality practice at scale
Building Linux distributions, or managing OS customization and imaging
Incorporating AI-assisted development tools into engineering workflows — code generation, debugging, test development, documentation
Customer awareness, empathy, and diplomacy
Bachelor's degree or equivalent experience in a technical field
Salary Range Information

Мы предлагаем

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

Дополнительно

Have 3+ years leading or managing engineers, in AI/ML infrastructure or another large-scale compute environment
Have owned production systems with real SLAs, and can balance keeping things running against long-term, high-impact work — paying down toil and technical debt along the way
Work confidently in Linux and can debug across the OS, hardware, and networking layers
Can lead technical design on medium-to-large efforts: take an ambiguous problem, write the doc, drive alignment across teams, and ship
Work well under deadlines and structured project plans, and can tactfully negotiate changes to timelines when reality demands it
Collaborate effectively with peer engineering managers on efforts that cut across deployment and operations
Build high-performing teams deliberately — through hiring, upskilling, planned skills redundancy, performance management, and clear expectations
Have excellent problem-solving and troubleshooting instincts
Are excited about working at the intersection of hardware, software, and physical datacenter builds
Leave systems, and the teammates around you, better than you found them
The annual salary range for this position has been set based on market data and other factors. 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
L
Lambda
San Francisco Office (Fremont St)

ГрейдMiddle
ЗанятостьПолная занятость
РегионНе Россия
ФорматОфис
ИсточникСкрыто
Опубликовано22 авг.
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