Quantum Engineer

Artificial Brain is a pioneering technology company at the forefront of quantum computing and artificial intelligence. We are dedicated to pushing the boundaries of innovation by developing cutting-edge quantum solutions integrated with advanced machine learning techniques. Join our dynamic team in Pune to shape the future of quantum technology.

Quantum Engineer

• Quantum Algorithm Development

  : Design and develop quantum algorithms using gate-based and annealing quantum computing frameworks to solve complex computational problems.

• Machine Learning Integration

  : Integrate quantum computing solutions with machine learning models to enhance the performance and scalability of AI-driven applications.

• Research & Development

  : Conduct cutting-edge research to explore novel quantum computing techniques, hybrid quantum-classical algorithms, and their applications.

• System Optimization

  : Optimize quantum circuits and annealing schedules for performance, scalability, and error mitigation on various quantum hardware platforms.

• Collaboration

  : Work closely with cross-functional teams, including data scientists, software engineers, and physicists, to develop and deploy quantum-enhanced solutions.

• Prototyping & Testing

  : Build and test prototypes of quantum algorithms and systems, ensuring robustness and accuracy in real-world scenarios.

• Documentation & Reporting

  : Document research findings, prepare technical reports, and present results to internal teams and external stakeholders.

• Stay Updated

  : Keep abreast of the latest advancements in quantum computing, machine learning, and related fields to drive innovation.

Education

• Master’s or Ph.D. in Quantum Computing, Physics, Computer Science, Electrical Engineering, or a related field.

Experience

• 2+ years of hands-on experience in quantum computing, with expertise in both

  gate-based quantum computing

  (e.g., Qiskit, Cirq, or similar) and

  quantum annealing

  (e.g., D-Wave).
• Proven experience in applying machine learning techniques (e.g., supervised/unsupervised learning, deep learning, reinforcement learning) to real-world problems.
• Strong track record in research and development, preferably in quantum computing or a related field.

Technical Skills

• Proficiency in the Python programming language.
• Familiarity with quantum computing frameworks (e.g., Qiskit, Cirq) and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Knowledge of quantum hardware platforms and their limitations (e.g., IBM Quantum, Google Quantum, D-Wave).
• Experience with hybrid quantum-classical algorithms and optimization techniques.

Research Skills

• Ability to conduct independent research, analyze complex datasets, and publish findings in peer-reviewed journals or conferences.

Soft Skills

• Strong problem-solving skills, excellent communication, and ability to work collaboratively in a fast-paced, interdisciplinary environment.

• Experience with quantum machine learning (QML) algorithms and frameworks.
• Familiarity with cloud-based quantum computing platforms (e.g., AWS Braket, Azure Quantum).
• Prior work on quantum error correction or noise mitigation techniques.
• Contributions to open-source quantum computing or ML projects.
• Published research papers or patents in quantum computing or related fields.

• Innovative Environment

  : Work on groundbreaking projects at the intersection of quantum computing and artificial intelligence.

• Impactful Work

  : Contribute to transformative technologies that have the potential to revolutionize industries.

• Growth Opportunities

  : Access to continuous learning, professional development, and collaboration with world-class experts.

• Inclusive Culture

  : Be part of a diverse and inclusive team that values creativity, curiosity, and innovation.

• This position is based in 

  Pune, India

  , with opportunities for onsite in the UAE and the U.S., depending on project requirements.