> Markdown version of [/jobs/ext/4626426-principal-systems-development-engineer](https://www.wearedevelopers.com/jobs/ext/4626426-principal-systems-development-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Principal Systems Development Engineer

- **Company:** Dell Technologies Inc.
- **Location:** Round Rock, TX, United States
- **Experience:** Expert
- **Salary:** $157,250.0 - $203,500.0
- **Contract:** Internship / Graduate position
- **Skills:** Secure Shell (SSH), Artificial Intelligence, Airflow, Intelligent Platform Management Interface, BIOS, Command-Line Interface, Nvidia CUDA, Computer Programming, Computer Engineering, Data Centers, Dynamic Host Configuration Protocol, Programming Tools, Distributed Systems, Domain Name System (DNS), Firmware, IBM Hardware Management Console, InfiniBand, Internetworking, Python (Programming Language), Linux System Administration, Networking Basics, Systems Development Life Cycle, Prometheus, Server Administration, Simple Network Management Protocols, Software Engineering, Systems Integration, Test Execution Engine, Virtual Local Area Networks, Workflow Management Systems, Graphics Processing Unit (GPU), ReactJS, Large Language Models, Grafana, Multi-Agent Systems, Hardware Testing, Generative AI, Agentic-AI, Fastapi, Containerization, Kubernetes, Information Technology, Rancher, Bare Metal, Slurm, Machine Learning Operations, Restful APIs, Network Server, Docker
- **Published:** November 7, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/28169435/Principal-Systems-Development-Engineer-Texas-Round-Rock-1312

## About the Role

If you're energized by solving complex systems challenges, excited to work alongside AI to amplify your impact, and motivated by the opportunity to shape what's next instead of simply maintaining what's been done before, you'll find your place here., * 8+ years of software development experience with Python; proficiency with REST APIs, async programming, and containerization (Docker, Kubernetes)

 * Experience building distributed systems or workflow orchestration (Temporal, Airflow, Argo, or similar) with an understanding of reliability patterns such as retries, sagas, and compensation
 * Familiarity with Linux systems administration, networking fundamentals (VLANs, DHCP, DNS, SSH), and command-line tooling in server/data center environments
 * Hands-on experience with AI-assisted or agent-first development practices -- using LLM-based coding tools, building AI agents, or integrating generative AI into engineering workflows
 * Bachelor's degree in Computer Science, Computer Engineering, or related field (or equivalent experience)

Desirable Requirements

 * Experience with HPC workload managers (Slurm, PBS), bare-metal server management (Redfish, IPMI, PXE boot), or GPU/accelerator infrastructure (NVIDIA CUDA, NVLink, InfiniBand)
 * Familiarity with observability stacks (Prometheus/VictoriaMetrics, Grafana, OpenTelemetry), GitOps practices, or Rancher/RKE2 in air-gapped deployments

## Description

What you'll achieve

As a Principal System Development Engineer, you will be responsible for designing and building automation platforms that validate data center rack infrastructure at scale. You will work with hardware engineers, site deployment teams, and AI/ML infrastructure customers on tools that orchestrate Day 0 validation of servers, GPUs, networking, and power systems before they enter production.

This is a high-impact role where your software directly determines whether racks ship on time and work correctly. You will build workflow orchestration systems, agent-based automation, and developer tooling that runs in air-gapped data center environments across the globe.

You will:

 * Design and develop workflow orchestration platforms using technologies such as Temporal, FastAPI, and React to automate multi-phase hardware validation across servers, switches, PDUs, and accelerators
 * Build AI-agent-driven development tooling and automation -- leveraging LLMs, retrieval-augmented generation (RAG), and multi-agent architectures to accelerate test development, diagnostics, and root cause analysis
 * Develop and maintain containerized test execution pipelines that run on Kubernetes (RKE2) and HPC schedulers (Slurm) in air-gapped, on-premise environments
 * Integrate with hardware management interfaces (Redfish/IPMI, gNMI, SNMP) to automate device discovery, firmware updates, BIOS configuration, and health monitoring
 * Collaborate with field deployment teams to ensure software is reliable, operator-friendly, and functions without internet connectivity at customer sites