Quantum Solution Architect (India)

Quantum Solution Architect (India)

15 Oct
|
Netweb Technologies India
|
India

15 Oct

Netweb Technologies India

India

Job Description: Senior Quantum Software Specialist (NVIDIA CUDA-Q & CuQuantum)

Role Overview:
We are seeking an experienced High-Performance Computing (HPC) / Quantum Software
Engineer to develop, optimize, and scale advanced quantum simulation workloads. The
successful candidate will be responsible for implementing, benchmarking, and scaling
quantum algorithms leveraging NVIDIA’s CUDA-Q platform and cuQuantum
SDK hardware-accelerated backends. This role bridges classical GPU acceleration with
hybrid quantum-classical computing frameworks.

Core Responsibilities
• Algorithm Implementation: Successfully program, deploy, and execute the
following target quantum algorithms within the simulation workplace:
o Variational & State-Vector: Variational Quantum Eigensolver (VQE), Shor’s
Algorithm (full state-vector), and Grover’s Algorithm (full state-vector).
o Optimization & Transforms: Quantum Approximate Optimization Algorithm
(QAOA) and Quantum Fourier Transformation (QFT).
o Quantum Machine Learning (QML): Quantum Convolutional Neural
Networks (QCNN) and HLL algorithms.




• Hardware & Noise Simulation: Design, construct, and validate realistic Quantum
Noise Simulations using custom noise channels and decoherence models.
• Performance Tuning: Optimize circuit execution using cuQuantum SDK primitives
(cuStateVec and cuTensorNet) across multi-GPU and multi-node hardware setups.
• Hybrid Workflows: Build high-throughput, low-latency hybrid classical-quantum
loops coupling GPU kernels with classical optimizers.
Required Technical

Requirements
Skills & Qualifications

• Education: B-tech/Master in Computer Science/Quantum Computing/Physics,
Applied Mathematics, or a related quantitative field.

• Programming: Advanced proficiency in C++ and Python within Linux/HPC cluster
environments.

• NVIDIA Stack: Direct hands-on experience using NVIDIA CUDA-Q (formerly CUDA
Quantum) and the cuQuantum SDK.

• Parallel Computing: Background in GPU programming (CUDA C++/PyCUDA), multi
G

📌 Quantum Solution Architect (India)
🏢 Netweb Technologies India
📍 India

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