Job Title: Solutions Architect, AI Infrastructure & GPU Servers

Role Summary:

Design, size, and support GPU-accelerated server and workstation solutions for AI/ML workloads. Work with customers and internal teams to recommend the right hardware, cooling, and software stack, and guide deployments from proposal to production.

Key Responsibilities:
Assess customer workloads (training, inference, rendering, simulation) and translate them into hardware and cluster configurations
Select and size GPUs, CPUs, memory, storage, networking, PSU, and cooling for single-node and multi-node systems
Design thermal and power plans for workstations, rack servers, and small clusters
Prepare BOMs, architecture diagrams, and technical proposals
Support POCs, benchmarking, and performance tuning
Troubleshoot GPU issues (thermals, throttling, driver and firmware, NCCL/interconnect)
Advise on deployment, monitoring, and lifecycle planning

Required Skills:
5+ years in server, HPC,



or AI infrastructure solution design
Hands-on with NVIDIA GPUs (A-series, L-series, H-series), CUDA, drivers, and nvidia-smi/DCGM
Knowledge of server platforms (Dell, HPE, Supermicro, Lenovo) and PCIe/NVLink topologies
Solid grasp of power, cooling, and airflow design
Linux administration, containers (Docker/Kubernetes), and ML frameworks (PyTorch/TensorFlow)
Clear communication with technical and non-technical stakeholders

Positive to Have:
NVIDIA or vendor certifications
Experience with InfiniBand/RoCE, Slurm, or MLOps tooling
Pre-sales or customer-facing consulting background

Education: B.E./B.Tech in Computer Science, Electronics, or equivalent experience.

Pay: ₹600,000.00 - ₹800,000.00 per year

Perks:
Provident Fund

Work Location: In person

📌 Solutions Architect, Ai Infrastructure & Gpu Servers Hyderabad (India)
🏢 TRIDE INNOVATIVE TECHNOLOGIES PRIVATE
📍 India