Data Center Compute Engineer

Blue Signal Search; United States; Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive compensation

Equity opportunity

Comprehensive benefits

Job summary

Blue Signal Search is seeking a Data Center Compute Engineer to help deploy and operate GPU accelerator infrastructure across large scale data centers. The role combines hands-on hardware and software to drive reliable day-to-day operations in a fast-paced environment.

You will work with Linux systems, automation scripts, and modern orchestration tools, with travel to data center sites and collaboration across networking, infrastructure, and hardware teams.

Qualifications

• Proven experience deploying or supporting enterprise server infrastructure.
• Strong Linux administration and command-line skills.
• Scripting experience in Python, Go, or Bash.
• Experience with GPU or accelerator infrastructure is a plus.

Responsibilities

• Oversee the transition of newly commissioned technology environments into production-ready systems.
• Prepare and evaluate advanced rack-based computing systems through consistent equipment, system configuration, and application rollout procedures.
• Configure core system settings and embedded management tools while maintaining uniform performance standards across broad infrastructure rollouts.
• Build and refine software-driven solutions that simplify system setup, readiness testing, and ongoing infrastructure activities.
• Investigate hardware, firmware, and software issues during deployment activities, identifying root causes and coordinating corrective actions.
• Assist with preparing physical servers, deploying standardized configurations, identifying connected resources, and activating systems across multiple technology environments.
• Collaborate closely with networking, infrastructure, operations, and hardware engineering teams to ensure successful deployment schedules and rapid issue resolution.
• Contribute to implementation activities and assist with technical needs as new environments become operational.
• Travel approximately 20 to 30 percent as required to support deployment activities at data center locations.

Skills

Linux administration

Python

Go

Bash scripting

GPU compute infrastructure

Infrastructure automation

Remote hardware tools

Kubernetes

Tools

Kubernetes

Bare metal provisioning

Infrastructure automation platforms

Job description

Location: Hybrid in San Francisco, CA and Remote, Nationwide

Our client is expanding advanced computing capabilities and is seeking a Data Center Compute Engineer to prepare newly implemented environments for reliable day-to-day operations. This is an opportunity to join a high performing engineering team focused on accelerating the deployment of advanced GPU and accelerator infrastructure across large scale data center environments. If you enjoy solving complex infrastructure challenges, automating operational workflows, and working at the intersection of hardware and software, this role offers the chance to make a measurable impact on one of the fastest growing technology sectors.

This Role Offers

• Competitive compensation, performance incentives, equity opportunity, and comprehensive benefits.
• Opportunity to support cutting edge AI infrastructure deployed across large scale data center environments.
• High ownership role with significant autonomy and exposure to rapidly evolving technologies.
• Collaborative engineering culture focused on innovation, automation, and continuous improvement.
• Flexible work arrangement combining remote responsibilities with periodic site travel based on project needs.

Focus

• Oversee the transition of newly commissioned technology environments into fully operational, production-ready systems.
• Prepare and evaluate advanced rack-based computing systems through consistent equipment, system configuration, and application rollout procedures.
• Configure core system settings and embedded management tools while maintaining uniform performance standards across broad infrastructure rollouts.
• Build and refine software-driven solutions that simplify system setup, readiness testing, and ongoing infrastructure activities.
• Investigate hardware, firmware, and software issues during deployment activities, identifying root causes and coordinating corrective actions with internal teams and external vendors.
• Assist with preparing physical servers, deploying standardized configurations, identifying connected resources, and activating systems across multiple technology environments.
• Collaborate closely with networking, infrastructure, operations, and hardware engineering teams to ensure successful deployment schedules and rapid issue resolution.
• Contribute to implementation activities and assist with technical needs as new environments become operational.
• Travel approximately 20 to 30 percent as required to support deployment activities at data center locations.

Skill Set

• Experience deploying, validating, or supporting enterprise server infrastructure or GPU based compute environments.
• Strong Linux systems administration skills with experience working in command line environments.
• Practical background using remote hardware administration tools and server-level management interfaces.
• Programming or scripting experience using Python, Go, Bash, or related automation technologies.
• Strong understanding of computing equipment, system-level updates, and structured approaches to resolving technical issues.
• Experience diagnosing issues across hardware, operating systems, firmware, networking, and platform software.
• Familiarity with Kubernetes based infrastructure, bare metal provisioning, or infrastructure automation platforms is highly desirable.
• Experience working within data center environments performing installation, hardware replacement, validation, or deployment activities.
• Excellent analytical, communication, and cross functional collaboration skills.
• Self motivated professional capable of managing priorities in a fast paced engineering environment.