Quantum engineer

About Artificial Brain 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. Role Overview We are seeking a highly skilled and motivated Quantum Engineer to join our R& D team in Pune. The ideal candidate will have extensive expertise in both gate-based and annealing quantum computing approaches, combined with a strong background in machine learning. This role will focus on conducting advanced research and development to design, implement, and optimize quantum algorithms and systems for real-world applications. Key Responsibilities 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. Required Qualifications 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., Tensor Flow, Py Torch, 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. Preferred Qualifications 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. Why Join Artificial Brain? 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. Location This position is based in Pune, India, with opportunities for onsite in the UAE and the U. S., depending on project requirements.