Head of AI & GPU Cloud Solutions Engineering

Mirantis, Inc.; San Jose (CA); On-site; USD 240,000 - 420,000; Full time

Benefits offered by this job

Open source innovation

Competitive compensation package

Professional development and training

Conferences and working groups

Job summary

Mirantis, Inc. is seeking a seasoned Sales Engineer / Solutions Architect to own the technical win for large, enterprise AI deals. You will lead a pre-sales team, craft reference architectures, and model TCO across compute, networking, and orchestration.

You’ll work with NVIDIA-based GPU clusters, multi-node training, and production inference, shaping deals from discovery through close and collaborating with field engineers and customers.

Qualifications

• You have actually run or stood up ML workloads — distributed training and/or production inference.
• Practical fluency in the training and inference lifecycle: data pipelines, distributed training (multi-node/multi-GPU), fine-tuning, and serving; you understand where bottlenecks actually live.
• Comfortable in the frameworks and tooling customers use — PyTorch and the surrounding ecosystem (e.g., NCCL, CUDA-level concepts, containers, schedulers).
• Deep knowledge of the NVIDIA platform and GPU products.
• Networking fluency: NVLink/NVSwitch domains, InfiniBand (Quantum) vs. Spectrum-X Ethernet fabrics, RDMA/RoCE, DPUs — and why fabric choice makes or breaks large training clusters.
• Software and platform layer: NVIDIA AI Enterprise, NIM, NeMo, Triton / TensorRT-LLM, Base Command, Run:ai / GPU orchestration, and the NGC ecosystem.
• Understands the NVIDIA Cloud Partner motion and how to co-sell with NVIDIA.
• Enterprise sales engineering on long, high-value cycles.
• Strongly preferred: GPU cloud/HPC experience, Kubernetes for AI orchestration, storage-for-AI literacy

Responsibilities

• Lead SE/solutions architecture team and establish the pre-sales operating model as the org scales.
• Architect solutions across compute, networking, storage, and orchestration; produce sizing, capacity plans, and TCO comparisons.
• Design and drive POCs/POVs with defined success criteria and benchmarks.
• Partner with Account Executives as technical lead on strategic enterprise opportunities from discovery through close.
• Feed product and capacity requirements back to engineering and planning to influence roadmaps.

Skills

ML workloads

Training/inference lifecycle

PyTorch

GPU orchestration

NVIDIA platform knowledge

Multi-stakeholder navigation

Enterprise sales awareness

Tools

NVIDIA CUDA

Run:AI

Kubernetes

NVIDIA Triton

NVLink/NVSwitch

Job description

Mirantis, Inc. is seeking a seasoned Sales Engineer / Solutions Architect to own the technical win for large, enterprise AI deals. You will lead a pre-sales team, craft reference architectures, and model TCO across compute, networking, and orchestration.

You’ll work with NVIDIA-based GPU clusters, multi-node training, and production inference, shaping deals from discovery through close and collaborating with field engineers and customers.