Senior Software Engineer – Fleet Automation GPU Infrastructure

Location: Dallas TX
Work Model: Hybrid 3 days onsite
Relocation: Available
Compensation: $170000$220000 base bonus
Benefits: 100% company-paid benefits
Employment Type: Direct Hire

Our client is seeking a Senior Software Engineer to join its Fleet Automation team supporting large-scale HPC and GPU infrastructure.

This team builds the software automation and internal platforms used to provision configure monitor and manage hundreds of high-performance GPU and CPU compute nodes. The environment sits at the intersection of software engineering infrastructure and distributed systems with a strong focus on eliminating manual operational work through scalable automation.

This is a hands-on engineering role for someone who enjoys building backend services while also understanding how those services interact with Linux systems physical hardware networking storage and GPU infrastructure.

• Design and build fleet automation platforms for provisioning configuration validation and lifecycle management of GPU and CPU compute nodes.
• Develop internal services and APIs that automate hardware deployment imaging remediation and decommissioning.
• Build reliable backend services using Go C# and/or TypeScript.
• Design data models and persistent state for automation workflows using relational and NoSQL databases.
• Develop and maintain CI/CD pipelines for infrastructure and configuration changes.
• Automate hardware validation and testing across large-scale compute environments.
• Build observability monitoring dashboards and alerting using tools such as Prometheus Grafana Alertmanager and ELK.
• Partner closely with Infrastructure Network Operations and Research teams to identify operational pain points and automate repeatable processes.
• Participate in on-call rotations and support incident response root-cause analysis and post-incident reliability improvements.
• Identify systemic infrastructure issues and develop engineering solutions that improve fleet reliability efficiency and scalability.

• 5 years of software engineering experience building production backend services infrastructure platforms or automation tooling.
• Strong development experience with at least one of the following:
  • Go
  • C#
  • TypeScript
• Experience designing APIs backend services and distributed or stateful systems.
• Strong experience with relational and/or NoSQL databases.
• Solid Linux systems knowledge including:
  • Networking
  • Storage
  • Process management
  • System troubleshooting
  • Ubuntu and/or RHEL environments
• Experience building and maintaining CI/CD pipelines.
• Hands-on experience with production monitoring and observability platforms such as:
  • Prometheus
  • Grafana
  • Alertmanager
  • ELK
• Strong troubleshooting and problem-solving skills across both software and infrastructure environments.

• Experience supporting GPU HPC AI/ML or large-scale compute infrastructure.
• Familiarity with NVIDIA technologies such as:
  • DCGM
  • nvidia-smi
  • NVIDIA Container Toolkit
• Experience with bare-metal provisioning and hardware lifecycle automation.
• Exposure to event-driven architectures and messaging platforms such as Kafka.
• Experience working with infrastructure network SRE or platform engineering teams.
• Bachelors degree in Computer Science Software Engineering or equivalent practical experience.

• Work directly on large-scale GPU and HPC infrastructure supporting advanced AI workloads.
• Build automation platforms that have direct impact on infrastructure reliability and scalability.
• Highly technical environment combining software engineering systems engineering and infrastructure automation.
• Competitive $170K$220K base salary bonus.
• 100% company-paid benefits.
• Relocation assistance available for candidates moving to Dallas.
• Hybrid schedule with three days per week onsite.