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JobsCadence

Data Center Operations Engineer

Cadence

Data Center Operations Engineer

Cadence

Santa Fe, New Mexico

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Flexible work

Health benefits

Collaborative environment

401(k) matching

Stock options

Healthcare

Equity

Required Skills

SAP

Python

Excel

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

Job Summary:

The Data Center Operations Engineer is responsible for supporting, maintaining, and deploying critical data center infrastructure with a strong focus on

Linux-based systems, GPU server deployments, and Infini Band networking. This role requires hands-on expertise in data center operations, cluster bring-up, hardware installation, and troubleshooting across compute, network, and GPU environments. The engineer will collaborate closely with global infrastructure, development, and operations teams to ensure reliable, secure, and scalable service delivery.

  • Key Responsibilities

  • Provide hands-on operational support for all data center projects, deployments, and repair activities.

  • Participate in an on-call rotation and provide on-site or remote support during maintenance windows and incidents.

  • Troubleshoot and resolve operational issues related to Linux servers, GPU platforms, networking, and storage infrastructure.

  • Support customer and internal deployments, ensuring timely and successful bring-up of GPU servers and clusters.

  • Perform Infini Band fabric bring-up, switch configuration, subnet management, and troubleshooting.

  • Conduct daily health checks of Linux systems and infrastructure components, proactively identifying and mitigating risks.

  • Install, configure, test, and maintain server hardware (rack and stack, labeling, HDDs, memory, CPUs, RAID batteries, NICs, etc.).

  • Install, configure, and troubleshoot networking equipment including routers, switches, and terminal servers for out-of-band management.

  • Review and validate equipment deployments against approved design documentation and standards.

  • Support data center builds, refreshes, migrations, and expansions while adhering to quality and safety standards.

  • Coordinate with vendors and onsite staff for hardware delivery, diagnostics, replacement, and warranty services.

  • Utilize monitoring and alerting frameworks to identify issues, escalate appropriately, and ensure timely service restoration.

  • Maintain accurate documentation of operational procedures, system configurations, and runbooks.

  • Follow established incident management, escalation procedures, and service-level agreements (SLAs).

  • Collaborate with global teams across time zones to support operational initiatives and continuous improvement efforts.

  • Contribute to process improvement initiatives and ensure adherence to documented policies, processes, and procedures.

  • Required Qualifications

  • Bachelor’s degree in Computer Science, Engineering, Information Technology, or equivalent practical experience.

  • *Strong hands-on experience in Linux environments, including system administration, troubleshooting, and performance validation.

  • *Proficiency with Linux command-line tools and shell scripting (Bash or equivalent).

  • Experience with cluster bring-up, driver installation, and system-level configuration.

  • Hands-on experience setting up and validating GPU servers in clustered environments.

  • Experience with end-to-end GPU testing in Infini Band-based clusters.

  • Working knowledge of Infini Band networking, including switch configuration and subnet management.

  • Solid understanding of networking fundamentals, including the OSI model and TCP/IP protocol suite (IP, ARP, ICMP, TCP, UDP, SMTP, FTP, TFTP).

  • Experience installing, configuring, and troubleshooting routers, switches, and terminal servers.

  • Familiarity with fiber and copper cabling, including IP and SAN deployments.

  • Experience managing incident tickets, maintaining acceptable ticket loads, and meeting SLAs.

  • Strong organizational skills with meticulous attention to detail in data center environments.

  • Ability to follow and enforce documented escalation procedures and operational policies.

  • Strong verbal and written communication skills, with the ability to collaborate effectively with cross-functional and global teams.

  • Preferred Qualifications

  • Experience supporting HPC, AI, or large-scale GPU environments.

  • Exposure to data center monitoring

  • Experience documenting operational processes and maintaining technical runbooks.

  • Familiarity with large-scale data center buildouts or refresh programs.

  • Physical Requirements

  • Ability to perform the essential functions of the role, including lifting, moving, and installing equipment weighing 50 pounds or more, with or without reasonable accommodation.

  • Ability to work in data center environments, including raised floors, equipment racks, and confined spaces.

  • Willingness to work flexible hours, including nights, weekends, and on-call rotations as required.

  • Work Environment

  • On-site data center environment with occasional remote coordination.

  • Interaction with hardware vendors, service providers, and internal engineering teams.

  • Fast-paced operational setting requiring attention to detail, adherence to safety standards, and rapid problem resolution.

We’re doing work that matters. Help us solve what others can’t.

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About Cadence

Cadence

Cadence

Public

Cadence Design Systems provides electronic design automation (EDA) software, hardware, and IP for designing and verifying electronic systems and semiconductors.

5,001-10,000

Employees

San Jose

Headquarters

Reviews

3.3

7 reviews

Work Life Balance

2.0

Compensation

2.5

Culture

1.8

Career

2.0

Management

1.5

15%

Recommend to a Friend

Pros

Built strong client relationships

Useful for repetitive tasks

Employment opportunities

Cons

Poor management and micromanagement

Lack of career growth opportunities

Technical architecture and code quality issues

Salary Ranges

65 data points

Junior/L3

Junior/L3 · Data Analyst

1 reports

$91,103

total / year

Base

$85,276

Stock

-

Bonus

$5,827

$59,612

$139,984

Interview Experience

1 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Final Decision

Common Questions

Technical Knowledge

Behavioral/STAR

Past Experience

Problem Solving