Lambda

Software Engineer - Fleet Orchestration

Lambda • $150K — $180K *
San Francisco, CA 94112In-Person
Information Technology
5 - 7 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • 5+ years engineering experience (degree not required)
  • Fluent in Python, Go, or similar; comfortable with APIs and automation pipelines
  • Knowledge of PXE boot, firmware provisioning, and network services from first principles
  • Experience owning production systems with real SLAs
  • Ability to lead technical design on medium-to-large features
  • Experience working cross-functionally and influencing technical decisions
  • Mentoring experience with a focus on improving systems and teammates

Responsibilities

  • Build and manage fleet data systems for GPU datacenter hardware
  • Lead the automation design for GPU cluster deployments
  • Create systems for continuous validation of state consistency in GPU environments
  • Implement systems for coordination among teams and tools in fleet operations
  • Contribute technically to new datacenter site launches
  • Monitor production health and ensure adherence to SLAs
  • Drive resolution of issues that cause drift in deployment

Benefits

  • Collaborative work environment with high visibility projects
  • Opportunity to work with cutting-edge GPU infrastructure
  • Structured mentorship programs for continuous growth
  • Cross-functional collaboration with diverse teams
  • Work from San Francisco or San Jose, with a designated remote work day
Full Job Description
*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda's designated work from home day is currently Tuesday.

What You'll Do
  • Build and own fleet data systems that make Lambda's GPU datacenter hardware legible at scale - indexing, validating, and reconciling physical host state against intended logical configuration
  • Lead the design and implementation of automation that orchestrates GPU cluster deployments from logical design import and racking through OS provisioning, validation, and customer hand-off
  • Design systems that continuously validate consistency between intended and actual state across large-scale GPU environments, catching drift before it causes deployment failures or delays
  • Design and implement ownership, global locking, readiness gating, and action safety systems that keep fleet operations coordinated across teams and tools
  • Own Fleet Orc's technical contribution to new datacenter site bring-up, working cross-functionally with HPC Deployments, DC Ops, Network Engineering, and Core Infrastructure
  • Monitor production health, hold SLAs, and drive resolution when things drift

You
  • Have 5+ years of engineering experience (degree not required)
  • Are fluent in Python, Go, or similar - comfortable with APIs, distributed systems, and automation pipelines
  • Can reason about PXE boot, firmware provisioning, IPMI/BMC interfaces, and network services like DNS and DHCP from first principles
  • Have owned production systems with real SLAs
  • Can lead technical design on medium-to-large features: take an ambiguous problem, write the doc, drive alignment, and ship
  • Have worked cross-functionally and influenced technical decisions beyond your immediate team
  • Have mentored peers and left systems - and teammates - better than you found them

Nice to Have
  • Experience in the machine learning or AI infrastructure industry
  • Familiarity with datacenter physical infrastructure - racks, switches, InfiniBand fabric, power domains
  • Background that blends software engineering with systems or infrastructure engineering
  • Experience with network source-of-truth systems (NetBox or similar) or DCIM tooling

Salary Range Information

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.

About Lambda

Lambda is an online education company that offers courses in computer science and software engineering. The company was founded in 2017 by Austen Allred and Ben Nelson. Lambda's courses are designed to be accessible to anyone, regardless of their background or prior experience. The company's mission is to provide high-quality education that leads to well-paying jobs in the tech industry. Lambda has partnerships with a number of companies, including Amazon, Google, and Microsoft, and has helped thousands of students launch careers in tech.
Learn more about Lambda
Size
1,000 employees
Industry
Education, Government & Non-Profit
Net Income
-$5 million
Founded
2017
5 Year Trend
+100%
Revenue
$100 million
NASDAQ
LMBDA
* Ladders Estimates

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