Solutions Architect, AI Infrastructure & GPU Servers

**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

• Strong 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

**Good 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

Benefits:

• Provident Fund

Work Location: In person