Senior Software Engineer – Fleet Automation / GPU Infrastructure
Location: Dallas, TX
Work Model: Hybrid, 3 days onsite
Relocation: Available
Compensation: base + bonus
Benefits: 100% company-paid benefits
Employment Type: Direct Hire
Overview
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.
What You’ll Do
- 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.
Required Experience
- 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:
- 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.
Preferred Experience
- 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.
- Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience.
Why Consider This Opportunity?
- 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 base salary + bonus.
- 100% company-paid benefits.
- Relocation assistance available for candidates moving to Dallas.
- Hybrid schedule with three days per week onsite.