Quantum Software Developer @ Amritapuri

Amrita Vishwa Vidyapeetham; Kollam; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Amrita Vishwa Vidyapeetham invites applications for a Quantum Software Developer – AI/ML Quantum Computing at Amritapuri, Kollam. The role focuses on designing and integrating AI/ML-driven decoding pipelines into production-grade QEC/QEM software, bridging ML with fault-tolerant quantum computing.

The ideal candidate holds a Bachelor's/Master's/Ph.D. in CS/AI/DS and will work on ML-assisted decoding, predictive noise modeling, and performance optimization on the Rudra server backend.

Qualifications

• Strong background in computer science and artificial intelligence/machine learning.
• Experience bridging ML with fault-tolerant quantum computing.
• Design, develop, and integrate AI/ML-driven decoding pipelines into a QEC/QEM software appliance.

Responsibilities

• ML-Assisted Decoding: design neural network or graph-based models for stabilizer/surface codes.
• Predictive Noise Modeling: build adaptive error-suppression routines using calibration data and noise profiles.
• Performance Optimization: benchmark ML decoders vs classical decoding for speed and accuracy.
• Toolchain Integration: create modular components to ingest quantum circuits and output optimized versions.

Skills

Quantum computing

AI/ML

Neural networks

Graph-based models

QEC/QEM

Education

Bachelor's/Master's/PhD in CS/AI/DS

Tools

Rudra server

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 September 15, 2026