Avatar for Slai
Quickly build, deploy, and share machine learning models
  • B2B
  • Early Stage
    Startup in initial stages

Network Engineer

Posted: 2 months ago
Job Location
Remote Work Policy

In office - WFH flexibility

Visa Sponsorship

Not Available

RelocationAllowed
Skills
BGP
CLOs
EVPN/VXLAN
Insertion Loss
OTDR Traces

About the job

Beam is an ultrafast AI inference platform. We built a serverless runtime that launches GPU-backed containers in less than 1 second and quickly scales out to thousands of GPUs. Developers use our platform to serve apps to millions of users around the globe. We're backed by Y Combinator, Tiger Global, and prominent developer-tool founders, including the founder of Snyk and former CTO of GitHub.

About The Role

We're building out our own GPU capacity across new data center sites, and we need someone to stand up that infrastructure and drive deployments to completion.

  • Deploy and validate data center network infrastructure (front-end, back-end, BMS, management): configure switches, install and validate optics, coordinate cabling, and drive deployments to completion.
  • Ensure physical connectivity meets production standards: coordinate fiber remediation, validate insertion loss and OTDR traces, troubleshoot optical-layer issues, and document as-builts.
  • Manage hardware logistics: device staging, rack/stack coordination, RMA, DCIM updates, inventory, and vendor shipments so devices are ready when deployments need them.
  • Partner with DC Operations, ICT, Hardware, and Network Engineering to identify blockers early, escalate decisively, and keep multi-team efforts on track.
  • Maintain cutsheets, as-builts, validation results, and lessons learned, and contribute to the deployment playbook that lets the team scale.
  • Provide operational support during and after deployments: incident response, troubleshooting, and break-fix.

Skills & Experience

  • Hands-on data center network engineering and understanding of modern fabrics (EVPN/VXLAN, BGP, CLOS), having configured production infrastructure.
  • You thrive in the field, equally comfortable pulling cable, configuring switches, and troubleshooting the optical layer, and you execute with whatever tooling is available.
  • You troubleshoot methodically across physical and logical layers: OTDR traces, insertion loss, BGP sessions, and connectivity through complex topologies.
  • You communicate clearly across technical and non-technical teams, document well, and follow through.
  • You learn fast and take ownership of ramping on new technology, and you'll travel 50 to 60% to onsite deployments.
  • Bonus: AI fabric turn-up experience. Configuration management and automation tooling. Vendor certifications.

Benefits

  • Competitive salary and meaningful equity
  • Join a fast-growing pre-series A company at the ground floor
  • Health, dental, and vision benefits with 90% coverage for you and 50% for dependents
  • Opportunities to participate in events across the cloud native community
  • Fitness stipend, learning budget, and much, much more

About the company

Slai company logo
Quickly build, deploy, and share machine learning models11-50 Employees
  • B2B
  • Early Stage
    Startup in initial stages
Learn more about Slai image

Funding

AMOUNT RAISED
$3.5M
FUNDED OVER
1 round
Round
S
$3500000
Seed - May 2022

Founders

Eli Mernit
Founder
New York City
image
View the team image

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