Quantum Software Developer @ Amritapuri

Amrita Vishwa Vidyapeetham; Kollam; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

Amrita Vishwa Vidyapeetham invites applications for a Quantum Software Developer – AI/ML Quantum Computing based in Amritapuri, Kollam. You will design and implement AI/ML-driven decoding pipelines and predictive noise management within a production-grade quantum error correction and mitigation software appliance.

The role demands strong CS foundations and expertise in AI/ML as applied to quantum computing, with responsibilities spanning ML-assisted decoding, predictive noise modeling,

Qualifications

• Strong background in computer science and AI/ML for quantum computing.
• Experience bridging ML with fault-tolerant quantum systems.
• Ability to design, develop, and integrate AI/ML-driven decoding pipelines into QEC/QEM software.

Responsibilities

• ML-Assisted Decoding: design/train models for small stabilizer and surface codes with scalable API interfaces.
• Predictive Noise Modeling: build adaptive routines to process calibration data and noise profiles to optimize circuit execution.
• Performance Optimization: benchmark ML decoders vs classical methods to optimize speed and accuracy on the Rudra server backend.
• Toolchain Integration: create modular components to ingest standard quantum circuits and output hardware-optimized, error-resilient versions.

Skills

Quantum Computing

AI/ML

Software Development

Back-end Systems

Education

PhD in Quantum Computing

MS in AI/ML

BS in Computer Science

Tools

Python

Qiskit

TensorFlow

Job description

Job Title Quantum Software Developer – AI/ML Quantum Computing Location Amritapuri, Kollam Required Number 2 Qualification Bachelor’s or Master’s or Ph.D. in Computer Science, AI/ML Quantum Computing, Data Science Job Description

• We are seeking highly skilled Quantum Software Developers with a strong background in computer science and artificial intelligence/machine learning.
• In this role, you will bridge the gap between advanced machine learning and fault-tolerant quantum computing.
• Your primary mission will be to design, develop, and integrate AI/ML-driven decoding pipelines and predictive noise management modules into a production-grade Quantum Error Correction (QEC) and Quantum Error Mitigation (QEM) software appliance.

Key Responsibility

• ML-Assisted Decoding: Design and implement trained neural network or graph-based models for small stabilizer and surface codes, integrating them via scalable, plug-and-play API interfaces.
• Predictive Noise Modeling: Build adaptive error-suppression routines capable of processing live calibration data and simulated noise profiles to dynamically optimize circuit execution.
• Performance Optimization: Benchmark machine-learning decoders against classical decoding algorithms to optimize decoding speed, accuracy, and computational overhead on the Rudra server backend.
• Toolchain Integration: Develop modular software components that seamlessly ingest standard quantum circuits and automatically output hardware-optimized, error-resilient versions.

Job category Project Last date to apply October 31, 2026