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Network Engineer (Robotics)

San Francisco, CA

We are seeking a highly skilled Network Engineer to join our Infrastructure team. This role is essential to designing, securing, and scaling the network infrastructure that powers Scale AI’s global operations, from high-throughput datacenters to office environments. You will own the architecture and implementation of scalable, redundant, and secure Layer 2 and Layer 3 networks to support massive data transfer, including multi-gigabit connectivity and direct cloud integrations. This role requires a deep understanding of datacenter best practices, structured cabling, secure routing, and network automation. You’ll work across teams to ensure our infrastructure remains performant, fault-tolerant, and secure, even under petabyte-scale load.

 

You will:

  • Design, build, and maintain high-performance, multi-site network infrastructure supporting 10–100Gbps+ throughput.
  • Lead physical and logical network deployments in both enterprise and colocation environments.
  • Define and enforce secure network segmentation, routing policy, firewall zones, and access control models.
  • Configure and manage Layer 2/3 connectivity, including VLANs, link aggregation (LAG/LACP), and dynamic routing protocols (BGP, OSPF, etc.).
  • Implement telemetry and observability systems for real-time performance monitoring and alerting.
  • Manage the deployment and provisioning of switches, optics, cabling, and rack-level power infrastructure.
  • Collaborate with hardware and software teams to support scalable, fault-tolerant data capture and upload workflows.
  • Using Infrastructure-as-Code tools such as Terraform to manage cloud and network infrastructure.
  • Troubleshoot performance bottlenecks, carrier handoffs, and hardware-level issues using tools like iperf, ethtool, tcpdump, mtr, and nmap.
  • Interface with datacenter providers and carriers to coordinate cross-connects and bandwidth services.
  • Ensure compliance with best practices in datacenter operations, structured cabling, airflow containment, etc.

 

Ideally, you’d have:

  • Proven experience designing and managing high-throughput networks in office and datacenter environments.
  • Deep knowledge of switching, routing, and structured cabling best practices across L2/L3 protocols.
  • Experience with network hardware from multiple vendors (Cisco, Juniper, etc.); Junos or IOS familiarity preferred.
  • Strong understanding of network security principles: MACsec, VPNs, firewall policy, Zero Trust segmentation.
  • Hands-on experience with 10/25/40/100GbE hardware, SFP/QSFP transceivers, and fiber/copper cabling.
  • Experience automating network provisioning and configuration using scripting (e.g., Python) and version-controlled workflows.
  • Understanding of cloud networking and edge integrations across cloud providers; AWS experience is a plus.
  • Strong debugging and troubleshooting skills, from physical layer issues to protocol misconfigurations.
  • Familiarity with datacenter deployment and vendor environments (e.g., Equinix, Digital Realty, etc.).
  • Excellent documentation and communication skills with both technical and cross-functional teams.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:

$188,000 - $235,000 USD

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. 

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision. 

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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