Jobs
Benefits & Perks
•Healthcare
•401(k)
•Equity
•Learning Budget
•Commuter Benefits
•Healthcare
•401k
•Equity
•Learning
•Commuter
Required Skills
Linux
Windows
MacOS
Python
C++
Bash
Network Configuration
Hardware Installation
As Scale's product portfolio and customer base expand, we are seeking skilled Site Reliability Engineers to manage and maintain our physical infrastructure, including robot stations, servers, computers, and network installations. You will play a crucial role in ensuring our on-site technical facilities operate smoothly while coordinating resource usage and providing hands-on support to remote engineering teams.
These engineers will gain a deep understanding of our physical infrastructure and technical facilities, enabling them to effectively install, configure, and maintain critical systems when needed. A critical aspect of this role will be coordinating access to shared technical resources and serving as the on-site point of contact for remote engineers who need physical changes performed, transforming currently manual coordination processes into a more streamlined and efficient workflow.
You will:
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Install, configure, and maintain robot stations and related technical equipment on-site.
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Manage and maintain server infrastructure, workstations, and computing equipment in our facilities.
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Oversee network installations, including routers and cabling infrastructure.
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Coordinate access to technical facilities, maintaining schedules and ensuring orderly usage of shared resources.
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Establish and enforce safety protocols and usage guidelines for technical facilities.
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Provide hands-on support to remote engineers, performing physical changes and configurations as requested.
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Troubleshoot hardware, network, and connectivity issues, ensuring minimal disruption to operations.
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Document infrastructure configurations, changes, and maintenance procedures to ensure maintainability and knowledge transfer.
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Proactively identify maintenance needs and capacity constraints to prevent issues before they arise.
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Drive standardization and foster collaboration across different teams to achieve efficient facility usage.
Ideally you'd have:
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5+ years of experience as an IT Technician, Field Engineer, Facilities Technician, or similar hands-on technical role.
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Proven track record of installing and maintaining server hardware and workstations.
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Experience configuring and troubleshooting network infrastructure and physical installation work.
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Experience coordinating shared resources or facilities, managing schedules and access.
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Familiarity with Linux, Windows and MacOS.
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Knowledge of Python/C++, scripting, and command line (cmd/bash) operations.
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Basic understanding of electrical systems for robot stations and equipment.
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Comfort with rapidly changing, fast-paced environments and a passion for finding solutions to complex physical infrastructure problems.
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Basic understanding of safety protocols and an eagerness to integrate them into facility operations.
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A hunger for learning new technologies, particularly in the realm of robotics and automated systems.
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Strong problem-solving, analytical, collaboration, and communication skills.
Nice to haves:
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Experience with robotics systems or automated equipment.
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Exposure to industrial charging systems or battery management systems.
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Prior experience in facility management or lab coordination.
**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, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. 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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About Scale AI

Scale AI
Series CAccelerate the development of AI applications.
501-1,000
Employees
San Francisco
Headquarters
$7.3B
Valuation
Reviews
3.5
2 reviews
Work Life Balance
1.5
Compensation
3.5
Culture
2.0
Career
3.0
Management
1.5
25%
Recommend to a Friend
Pros
Famous in tech world
Good for career transitions
Offers equity after 1 year
Cons
Extremely long working hours (80+ per week)
Unprofessional recruiting process
Poor communication during hiring
Salary Ranges
0 data points
Junior/L3
L3
Junior/L3 · Data Scientist L3
0 reports
$123,049
total / year
Base
-
Stock
-
Bonus
-
$104,592
$141,506
Interview Experience
5 interviews
Difficulty
3.2
/ 5
Duration
14-28 weeks
Offer Rate
20%
Experience
Positive 20%
Neutral 60%
Negative 20%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Technical Interview
5
Final Round
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
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