GenAI & High Performance Computing (HPC) Delivery Engineer
At a glance
Mid-level AI Engineering role at Iawmqy. Austin · full-time · $122,400–$158,400 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Install and validate GPU clusters for AI, machine learning and HPC workloads using NVIDIA Base Command Manager
- Run multi-node benchmarks with HPL, STREAM, NCCL, RCCL, MxP and OSU Microbenchmarks
- Check GPU links and network fabrics, then resolve deployment faults with support teams
- Tune and secure Linux systems for GenAI and HPC workloads, then document configurations and performance results
- Work with enterprise customers at deployment sites across the U.S. and coordinate any needed repairs
What you bring
- At least five years working with HPC or GenAI clusters, GPU systems or related infrastructure
- Hands-on NVIDIA Base Command Manager deployment, system setup and multi-node testing experience
- Practical use of the listed cluster benchmarks, including HPL, STREAM, NCCL and other listed tools
- An RHCSA credential or at least five years administering RHEL, Rocky or Ubuntu systems
- Working knowledge of InfiniBand or RoCE, plus container and workload orchestration platforms
Who this fits
This mid-level, hands-on engineering role suits someone comfortable troubleshooting GPU systems and working directly with enterprise customers. It is based in Austin and requires travel across the U.S. for deployment work, up to seventy percent of the time.
From the employer
GenAI & High Performance Computing (HPC) Delivery Engineer
Dell Technologies has delivered HPC solutions for 25+ years, including support for Bright Cluster Manager (now NVIDIA BCM) since 2011. Today, Dell is NVIDIA’s preferred partner for GenAI Factory systems, using Dell GenAI PowerEdge XE servers and NVIDIA NVAIE to help customers build and scale end to end GenAI and High-Performance Computing environments.
Join us to do the best work of your career and make a profound social impact as a GenAI & High Performance Computing (HPC) Delivery Engineer on our Service Delivery Team in Austin, TX
What you’ll achieve
We’re seeking a GenAI & HPC Delivery Engineer with strong hands-on experience in GPU accelerated systems, Linux performance tuning, and cluster deployment. This role is highly hands-on and customer-facing, supporting onsite deployments across the U.S. for cutting-edge HPC and GenAI solutions.
You will work as part of a high-performing engineering team to build, integrate, and test large-scale multi-GPU systems, benchmark them using industry-standard tools, and diagnose hardware and network components to ensure optimal performance of AI and HPC infrastructure.
You will:
• Deploy, configure, and validate GPU-accelerated compute clusters for AI, ML, and HPC using NVIDIA Base Command Manager (Warewulf and OpenHPC knowledge are a plus)
• Perform multi-node testing and benchmarking with HPL GPU, HPL MxP, STREAM, NCCL, RCCL, OSU Microbenchmarks, and related tools
• Validate GPU interconnects and fabric health; troubleshoot hardware, component, and network issues during deployment and coordinate remediation/parts replacement with support teams
• Configure, harden, and optimize Linux operating systems (RHEL, Ubuntu, Rocky) tailored for GenAI and HPC workloads
• Produce detailed as-built documentation, performance verification reports, and adhere to deployment operational best practices
• Work directly with enterprise customers onsite (travel both regionally and across the U.S.)
Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:
Essential Requirements
• 5+ years of experience with HPC or GenAI clusters, GPU-based systems, AI infrastructure, or related technical environments
• Proven hands-on experience with GPU deployment, system configuration, and multi-node testing using NVIDIA Base Command Manager (BCM)
• Practical experience executing cluster benchmarking tools: HPL, STREAM, NCCL, RCCL, MxP, and OSU Microbenchmarks
• Red Hat certification (RHCSA) or 5+ years of relevant Enterprise Linux (RHEL/Rocky/Ubuntu) systems administration experience
• Solid understanding of high-speed GenAI/HPC fabrics and networking (InfiniBand and/or RoCE)
• Hands-on experience with containerization and workload orchestration platforms (Docker, Singularity/Apptainer, Slurm, or Kubernetes)
• Excellent technical troubleshooting, communication, and customer-facing skills
• Ability to travel up to 70% of the time across the U.S. as needed for deployment projects
Desirable Requirements
• Bachelor’s degree in Computer Science, Computer Engineering, or related technical field
• NVIDIA technical certifications (NCA, NCE, DGX)
• Experience deploying and configuring NVIDIA UFM, InfiniBand, and Spectrum-X fabrics
• Exposure to hybrid cloud or GPU cloud infrastructure
• Experience utilizing GPU observability and performance profiling tools
Compensation
Dell is committed to fair and equitable compensation practices. The salary range for this position is USD 122,400 - USD 158,400
Benefits and Perks of Working at Dell Technologies
Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member — right now at MyWellatDell.com