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Senior System Development Engineer – AI Technologies

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Dell

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Location:
United States , Austin

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

123000.00 - 170000.00 USD / Year
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Job Description:

Our customers’ system requirements are usually highly complex. Bringing together hardware and software systems design, Systems Development Engineering operates at the very cutting edge of technology to meet them. We design and develop electronic and electro-mechanical or systems-orientated products, conduct feasibility studies on engineering proposals and prepare installation, operation and maintenance specifications and instructions. We’re proud to deliver programs and products to the highest quality standards, on time and within budget.

Job Responsibility:

  • Lead bring‑up, configuration, and validation of system platforms supporting AI workloads (servers, GPU racks, accelerators, networking fabrics)
  • work with BIOS/UEFI, BMC, firmware, drivers, and kernel subsystems to ensure system readiness for large‑scale AI deployments
  • perform hardware–software co-validation of CPUs, GPUs, DPUs, NICs, accelerators, and memory subsystems under AI‑heavy workloads
  • validate PCIe fabric behavior, NUMA topology, and data‑path efficiency for model training and inference
  • Diagnose complex issues across BIOS, firmware, OS, driver stack, container runtime, orchestration layer, and AI frameworks
  • analyze system logs, kernel traces, hardware event telemetry, GPU health signals, and fabric diagnostics
  • conduct root‑cause analysis of performance bottlenecks, training failures, model divergence, and hardware stability issues
  • collaborate with silicon, firmware, OS, and AI software teams to resolve issues rapidly
  • Deploy and manage AI clusters: GPU servers, accelerators, high‑speed networking (InfiniBand, RoCE), and storage systems
  • validate cluster readiness for distributed training, including bandwidth, latency, topology checks, and gradient‑sync performance
  • work with orchestration systems (Kubernetes, Slurm, Ray, Docker, Singularity) to run and optimize AI pipelines
  • partner with data center teams for rack integration, power/thermal analysis, and capacity planning
  • Execute and analyze standard AI benchmarks (MLPerf Training, MLPerf Inference, SPEC AI Benchmarks)
  • build custom benchmarks for transformer models, LLMs, computer vision, multimodal models, and recommendation systems
  • interpret results to provide optimization recommendations at the hardware, OS, driver, and framework levels
  • document findings and drive improvements across the platform and AI software ecosystem

Requirements:

  • Bachelor’s or Master’s degree in Computer Engineering, Computer Science, Electrical Engineering, or related field
  • 5+ years of experience in system engineering, platform development, or hardware–software validation
  • Strong understanding of x86 system architecture, CPU/GPU/accelerator internals, memory systems, and I/O subsystems
What we offer:
  • Comprehensive Healthcare Programs
  • Award Winning Financial Wellness Tools and Resources
  • Generous Leave of Absence for New Parents and Caregivers
  • Industry Leading Wellness Platform
  • Employee Assistance Program

Additional Information:

Job Posted:
March 20, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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