20 Qiskit Jobs

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Quantum Engineer – Quantum Computing & AI Applications (Senior) EY Consulting Digital Engineering is seeking a talented and driven Quantum Engineer to join our next-generation innovation team. With 4–6 years of experience in quantum computing, machine learning, and AI integration, you will be at the forefront of building and deploying cutting-edge quantum-enabled solutions that solve complex industry challenges. Your technical acumen, curiosity, and problem-solving mindset will help shape scalable applications that leverage the power of emerging quantum technologies. The Opportunity As a Quantum Engineer, you will be part of a specialized team solving real-world problems using quantum algorithms, simulators, and AI-driven approaches. This is a high-impact opportunity to work at the intersection of theoretical research and practical engineering, collaborating with clients, researchers, and cross-functional teams to prototype and operationalize quantum solutions across domains like optimization, cryptography, material science, and machine learning. Your Key Responsibilities Design and implement quantum algorithms using platforms such as Qiskit, Cirq, PennyLane, or Braket, aligned to client and industry use cases. Integrate AI/ML models with quantum circuits or hybrid systems to demonstrate real-world quantum advantage. Evaluate and compare performance across quantum simulators and hardware backends, optimizing code for noise resilience and scalability. Work closely with data science and cloud teams to build hybrid quantum-classical workflows using cloud-native environments (AWS Braket, Azure Quantum, IBM Quantum). Translate complex quantum concepts into functional prototypes with measurable business outcomes. Collaborate with domain experts to define use cases, benchmark solutions, and guide PoCs and MVPs. Contribute to technical documentation, research papers, whitepapers, and client presentations. Stay on the cutting edge of quantum computing advancements, ensuring EY’s solutions remain future-ready and aligned with the technology roadmap. Soft Skills Strong analytical and abstract reasoning skills, able to work through complex, multidimensional problems. Excellent communication skills—capable of translating advanced technical content into actionable insights for non-technical stakeholders. A collaborative mindset with the ability to work in fast-paced, multidisciplinary teams. Curiosity and passion for emerging tech—especially quantum’s role in shaping the future of computation. To Qualify for the Role, You Must Have A Bachelor’s or Master’s degree in Physics, Computer Science, Quantum Information, or a related technical discipline. 4–6 years of hands-on experience in quantum computing tools and libraries like Qiskit, Cirq, PennyLane, t|ket>, or Braket. Proven experience integrating AI/ML techniques (e.g., neural networks, reinforcement learning, optimization algorithms) with quantum computing platforms. Strong programming skills in Python, with a focus on algorithm development, simulation, and performance optimization. Experience with cloud platforms supporting quantum compute (AWS Braket, Azure Quantum, or IBM Quantum Experience). Exposure to building hybrid systems combining classical and quantum processing for real-world applications. Ideally, You’ll Also Have A solid background in quantum mechanics, linear algebra, and information theory. Familiarity with variational quantum algorithms (VQE, QAOA), quantum annealing, or quantum kernel methods. Experience in developing PoCs or MVPs for clients in sectors such as finance, supply chain, pharmaceuticals, or cybersecurity. Contribution to open-source quantum communities or published research in quantum-AI intersections. Knowledge of quantum error mitigation, fault-tolerant architectures, and quantum benchmarking. What Working At EY Offers At EY, we invest in the future—and that includes you. You’ll work on next-gen technology initiatives that blend deep science with business strategy, helping build the foundation of quantum-powered enterprises. As part of our fast-growing innovation group, you’ll have access to mentorship, collaborative R&D environments, and opportunities to make a lasting impact. EY offers: A vibrant, innovation-driven culture committed to deep tech transformation. Access to leading quantum hardware and simulation environments. Opportunities for professional growth, technical training, and industry exposure. A collaborative ecosystem where your contributions fuel real business change. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Quantum Engineer – Quantum Computing & AI Applications (Senior) EY Consulting Digital Engineering is seeking a talented and driven Quantum Engineer to join our next-generation innovation team. With 4–6 years of experience in quantum computing, machine learning, and AI integration, you will be at the forefront of building and deploying cutting-edge quantum-enabled solutions that solve complex industry challenges. Your technical acumen, curiosity, and problem-solving mindset will help shape scalable applications that leverage the power of emerging quantum technologies. The Opportunity As a Quantum Engineer, you will be part of a specialized team solving real-world problems using quantum algorithms, simulators, and AI-driven approaches. This is a high-impact opportunity to work at the intersection of theoretical research and practical engineering, collaborating with clients, researchers, and cross-functional teams to prototype and operationalize quantum solutions across domains like optimization, cryptography, material science, and machine learning. Your Key Responsibilities Design and implement quantum algorithms using platforms such as Qiskit, Cirq, PennyLane, or Braket, aligned to client and industry use cases. Integrate AI/ML models with quantum circuits or hybrid systems to demonstrate real-world quantum advantage. Evaluate and compare performance across quantum simulators and hardware backends, optimizing code for noise resilience and scalability. Work closely with data science and cloud teams to build hybrid quantum-classical workflows using cloud-native environments (AWS Braket, Azure Quantum, IBM Quantum). Translate complex quantum concepts into functional prototypes with measurable business outcomes. Collaborate with domain experts to define use cases, benchmark solutions, and guide PoCs and MVPs. Contribute to technical documentation, research papers, whitepapers, and client presentations. Stay on the cutting edge of quantum computing advancements, ensuring EY’s solutions remain future-ready and aligned with the technology roadmap. Soft Skills Strong analytical and abstract reasoning skills, able to work through complex, multidimensional problems. Excellent communication skills—capable of translating advanced technical content into actionable insights for non-technical stakeholders. A collaborative mindset with the ability to work in fast-paced, multidisciplinary teams. Curiosity and passion for emerging tech—especially quantum’s role in shaping the future of computation. To Qualify for the Role, You Must Have A Bachelor’s or Master’s degree in Physics, Computer Science, Quantum Information, or a related technical discipline. 4–6 years of hands-on experience in quantum computing tools and libraries like Qiskit, Cirq, PennyLane, t|ket>, or Braket. Proven experience integrating AI/ML techniques (e.g., neural networks, reinforcement learning, optimization algorithms) with quantum computing platforms. Strong programming skills in Python, with a focus on algorithm development, simulation, and performance optimization. Experience with cloud platforms supporting quantum compute (AWS Braket, Azure Quantum, or IBM Quantum Experience). Exposure to building hybrid systems combining classical and quantum processing for real-world applications. Ideally, You’ll Also Have A solid background in quantum mechanics, linear algebra, and information theory. Familiarity with variational quantum algorithms (VQE, QAOA), quantum annealing, or quantum kernel methods. Experience in developing PoCs or MVPs for clients in sectors such as finance, supply chain, pharmaceuticals, or cybersecurity. Contribution to open-source quantum communities or published research in quantum-AI intersections. Knowledge of quantum error mitigation, fault-tolerant architectures, and quantum benchmarking. What Working At EY Offers At EY, we invest in the future—and that includes you. You’ll work on next-gen technology initiatives that blend deep science with business strategy, helping build the foundation of quantum-powered enterprises. As part of our fast-growing innovation group, you’ll have access to mentorship, collaborative R&D environments, and opportunities to make a lasting impact. EY offers: A vibrant, innovation-driven culture committed to deep tech transformation. Access to leading quantum hardware and simulation environments. Opportunities for professional growth, technical training, and industry exposure. A collaborative ecosystem where your contributions fuel real business change. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Quantum Engineer – Quantum Computing & AI Applications (Senior) EY Consulting Digital Engineering is seeking a talented and driven Quantum Engineer to join our next-generation innovation team. With 4–6 years of experience in quantum computing, machine learning, and AI integration, you will be at the forefront of building and deploying cutting-edge quantum-enabled solutions that solve complex industry challenges. Your technical acumen, curiosity, and problem-solving mindset will help shape scalable applications that leverage the power of emerging quantum technologies. The Opportunity As a Quantum Engineer, you will be part of a specialized team solving real-world problems using quantum algorithms, simulators, and AI-driven approaches. This is a high-impact opportunity to work at the intersection of theoretical research and practical engineering, collaborating with clients, researchers, and cross-functional teams to prototype and operationalize quantum solutions across domains like optimization, cryptography, material science, and machine learning. Your Key Responsibilities Design and implement quantum algorithms using platforms such as Qiskit, Cirq, PennyLane, or Braket, aligned to client and industry use cases. Integrate AI/ML models with quantum circuits or hybrid systems to demonstrate real-world quantum advantage. Evaluate and compare performance across quantum simulators and hardware backends, optimizing code for noise resilience and scalability. Work closely with data science and cloud teams to build hybrid quantum-classical workflows using cloud-native environments (AWS Braket, Azure Quantum, IBM Quantum). Translate complex quantum concepts into functional prototypes with measurable business outcomes. Collaborate with domain experts to define use cases, benchmark solutions, and guide PoCs and MVPs. Contribute to technical documentation, research papers, whitepapers, and client presentations. Stay on the cutting edge of quantum computing advancements, ensuring EY’s solutions remain future-ready and aligned with the technology roadmap. Soft Skills Strong analytical and abstract reasoning skills, able to work through complex, multidimensional problems. Excellent communication skills—capable of translating advanced technical content into actionable insights for non-technical stakeholders. A collaborative mindset with the ability to work in fast-paced, multidisciplinary teams. Curiosity and passion for emerging tech—especially quantum’s role in shaping the future of computation. To Qualify for the Role, You Must Have A Bachelor’s or Master’s degree in Physics, Computer Science, Quantum Information, or a related technical discipline. 4–6 years of hands-on experience in quantum computing tools and libraries like Qiskit, Cirq, PennyLane, t|ket>, or Braket. Proven experience integrating AI/ML techniques (e.g., neural networks, reinforcement learning, optimization algorithms) with quantum computing platforms. Strong programming skills in Python, with a focus on algorithm development, simulation, and performance optimization. Experience with cloud platforms supporting quantum compute (AWS Braket, Azure Quantum, or IBM Quantum Experience). Exposure to building hybrid systems combining classical and quantum processing for real-world applications. Ideally, You’ll Also Have A solid background in quantum mechanics, linear algebra, and information theory. Familiarity with variational quantum algorithms (VQE, QAOA), quantum annealing, or quantum kernel methods. Experience in developing PoCs or MVPs for clients in sectors such as finance, supply chain, pharmaceuticals, or cybersecurity. Contribution to open-source quantum communities or published research in quantum-AI intersections. Knowledge of quantum error mitigation, fault-tolerant architectures, and quantum benchmarking. What Working At EY Offers At EY, we invest in the future—and that includes you. You’ll work on next-gen technology initiatives that blend deep science with business strategy, helping build the foundation of quantum-powered enterprises. As part of our fast-growing innovation group, you’ll have access to mentorship, collaborative R&D environments, and opportunities to make a lasting impact. EY offers: A vibrant, innovation-driven culture committed to deep tech transformation. Access to leading quantum hardware and simulation environments. Opportunities for professional growth, technical training, and industry exposure. A collaborative ecosystem where your contributions fuel real business change. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Quantum Engineer – Quantum Computing & AI Applications (Senior) EY Consulting Digital Engineering is seeking a talented and driven Quantum Engineer to join our next-generation innovation team. With 4–6 years of experience in quantum computing, machine learning, and AI integration, you will be at the forefront of building and deploying cutting-edge quantum-enabled solutions that solve complex industry challenges. Your technical acumen, curiosity, and problem-solving mindset will help shape scalable applications that leverage the power of emerging quantum technologies. The Opportunity As a Quantum Engineer, you will be part of a specialized team solving real-world problems using quantum algorithms, simulators, and AI-driven approaches. This is a high-impact opportunity to work at the intersection of theoretical research and practical engineering, collaborating with clients, researchers, and cross-functional teams to prototype and operationalize quantum solutions across domains like optimization, cryptography, material science, and machine learning. Your Key Responsibilities Design and implement quantum algorithms using platforms such as Qiskit, Cirq, PennyLane, or Braket, aligned to client and industry use cases. Integrate AI/ML models with quantum circuits or hybrid systems to demonstrate real-world quantum advantage. Evaluate and compare performance across quantum simulators and hardware backends, optimizing code for noise resilience and scalability. Work closely with data science and cloud teams to build hybrid quantum-classical workflows using cloud-native environments (AWS Braket, Azure Quantum, IBM Quantum). Translate complex quantum concepts into functional prototypes with measurable business outcomes. Collaborate with domain experts to define use cases, benchmark solutions, and guide PoCs and MVPs. Contribute to technical documentation, research papers, whitepapers, and client presentations. Stay on the cutting edge of quantum computing advancements, ensuring EY’s solutions remain future-ready and aligned with the technology roadmap. Soft Skills Strong analytical and abstract reasoning skills, able to work through complex, multidimensional problems. Excellent communication skills—capable of translating advanced technical content into actionable insights for non-technical stakeholders. A collaborative mindset with the ability to work in fast-paced, multidisciplinary teams. Curiosity and passion for emerging tech—especially quantum’s role in shaping the future of computation. To Qualify for the Role, You Must Have A Bachelor’s or Master’s degree in Physics, Computer Science, Quantum Information, or a related technical discipline. 4–6 years of hands-on experience in quantum computing tools and libraries like Qiskit, Cirq, PennyLane, t|ket>, or Braket. Proven experience integrating AI/ML techniques (e.g., neural networks, reinforcement learning, optimization algorithms) with quantum computing platforms. Strong programming skills in Python, with a focus on algorithm development, simulation, and performance optimization. Experience with cloud platforms supporting quantum compute (AWS Braket, Azure Quantum, or IBM Quantum Experience). Exposure to building hybrid systems combining classical and quantum processing for real-world applications. Ideally, You’ll Also Have A solid background in quantum mechanics, linear algebra, and information theory. Familiarity with variational quantum algorithms (VQE, QAOA), quantum annealing, or quantum kernel methods. Experience in developing PoCs or MVPs for clients in sectors such as finance, supply chain, pharmaceuticals, or cybersecurity. Contribution to open-source quantum communities or published research in quantum-AI intersections. Knowledge of quantum error mitigation, fault-tolerant architectures, and quantum benchmarking. What Working At EY Offers At EY, we invest in the future—and that includes you. You’ll work on next-gen technology initiatives that blend deep science with business strategy, helping build the foundation of quantum-powered enterprises. As part of our fast-growing innovation group, you’ll have access to mentorship, collaborative R&D environments, and opportunities to make a lasting impact. EY offers: A vibrant, innovation-driven culture committed to deep tech transformation. Access to leading quantum hardware and simulation environments. Opportunities for professional growth, technical training, and industry exposure. A collaborative ecosystem where your contributions fuel real business change. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Quantum Engineer – Quantum Computing & AI Applications (Senior) EY Consulting Digital Engineering is seeking a talented and driven Quantum Engineer to join our next-generation innovation team. With 4–6 years of experience in quantum computing, machine learning, and AI integration, you will be at the forefront of building and deploying cutting-edge quantum-enabled solutions that solve complex industry challenges. Your technical acumen, curiosity, and problem-solving mindset will help shape scalable applications that leverage the power of emerging quantum technologies. The Opportunity As a Quantum Engineer, you will be part of a specialized team solving real-world problems using quantum algorithms, simulators, and AI-driven approaches. This is a high-impact opportunity to work at the intersection of theoretical research and practical engineering, collaborating with clients, researchers, and cross-functional teams to prototype and operationalize quantum solutions across domains like optimization, cryptography, material science, and machine learning. Your Key Responsibilities Design and implement quantum algorithms using platforms such as Qiskit, Cirq, PennyLane, or Braket, aligned to client and industry use cases. Integrate AI/ML models with quantum circuits or hybrid systems to demonstrate real-world quantum advantage. Evaluate and compare performance across quantum simulators and hardware backends, optimizing code for noise resilience and scalability. Work closely with data science and cloud teams to build hybrid quantum-classical workflows using cloud-native environments (AWS Braket, Azure Quantum, IBM Quantum). Translate complex quantum concepts into functional prototypes with measurable business outcomes. Collaborate with domain experts to define use cases, benchmark solutions, and guide PoCs and MVPs. Contribute to technical documentation, research papers, whitepapers, and client presentations. Stay on the cutting edge of quantum computing advancements, ensuring EY’s solutions remain future-ready and aligned with the technology roadmap. Soft Skills Strong analytical and abstract reasoning skills, able to work through complex, multidimensional problems. Excellent communication skills—capable of translating advanced technical content into actionable insights for non-technical stakeholders. A collaborative mindset with the ability to work in fast-paced, multidisciplinary teams. Curiosity and passion for emerging tech—especially quantum’s role in shaping the future of computation. To Qualify for the Role, You Must Have A Bachelor’s or Master’s degree in Physics, Computer Science, Quantum Information, or a related technical discipline. 4–6 years of hands-on experience in quantum computing tools and libraries like Qiskit, Cirq, PennyLane, t|ket>, or Braket. Proven experience integrating AI/ML techniques (e.g., neural networks, reinforcement learning, optimization algorithms) with quantum computing platforms. Strong programming skills in Python, with a focus on algorithm development, simulation, and performance optimization. Experience with cloud platforms supporting quantum compute (AWS Braket, Azure Quantum, or IBM Quantum Experience). Exposure to building hybrid systems combining classical and quantum processing for real-world applications. Ideally, You’ll Also Have A solid background in quantum mechanics, linear algebra, and information theory. Familiarity with variational quantum algorithms (VQE, QAOA), quantum annealing, or quantum kernel methods. Experience in developing PoCs or MVPs for clients in sectors such as finance, supply chain, pharmaceuticals, or cybersecurity. Contribution to open-source quantum communities or published research in quantum-AI intersections. Knowledge of quantum error mitigation, fault-tolerant architectures, and quantum benchmarking. What Working At EY Offers At EY, we invest in the future—and that includes you. You’ll work on next-gen technology initiatives that blend deep science with business strategy, helping build the foundation of quantum-powered enterprises. As part of our fast-growing innovation group, you’ll have access to mentorship, collaborative R&D environments, and opportunities to make a lasting impact. EY offers: A vibrant, innovation-driven culture committed to deep tech transformation. Access to leading quantum hardware and simulation environments. Opportunities for professional growth, technical training, and industry exposure. A collaborative ecosystem where your contributions fuel real business change. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

About the Role We’re looking for experienced educators to deliver advanced-level content on Classical vs Quantum Computing and Information Theory to undergraduate engineering students. This is a part-time, contract-based opportunity ideal for professionals or researchers looking to engage with academia. Responsibilities Deliver structured lectures based on the course syllabus Break down complex concepts into simple, understandable sessions Conduct regular assessments and provide student feedback Collaborate with internal academic teams and campus coordinators Ensure timely delivery of all planned sessions within the course duration Support students with Q&A during and outside classroom hours (as required) Requirements Strong academic background (preferably M.Tech/PhD or equivalent) in CS, Physics, Mathematics, or related areas Prior teaching experience in Quantum Computing, Classical Computing, or Information Theory Good communication and classroom engagement skills Willingness to travel to different colleges in Andhra Pradesh as per the schedule Commitment till course completion (15 Aug – 31 Dec) Nice to Have Exposure to IBM Qiskit, quantum simulators, or other hands-on tools Familiarity with course design or curriculum development

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Description: EY GDS – Data and Analytics (D&A) – Sr.Manager – Quantum Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 14+ years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus. Minimum 14+ years of experience in Data Science and Machine Learning. Working knowledge of Quantum Engineering Quantum Machine Learning (Data encoding, HHL Algorithm implementation, Quantum linear regression, Euclidean Distance calculations, K-Means clustering, PCA, SVM implementation using Qiskit) Quantum Algorithms (Qiskit, Deutsch Jozsa, Bernstein Vajirani, Simon’s Algorithms) Quantum Deep Learning (Hybrid Quantum Neural Networks) Open-source Quantum Frameworks Qiskit based programming Quantum Optimization (Variational Quantum Eigensolver, Expectation Computation, VQE algorithm, Max-cut graph clustering, Adiabatic Theorem, Approximate Optimization Algorithm, etc) Python as a Programming Language EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

You will be joining our team as a System Development Engineer focusing on the Hybrid Scientific Computing Stack. A strong background in computer science and software development is required for this role, and knowledge of quantum computing would be an added advantage. Your responsibilities will include working on backend services such as FastAPI, Celery, OAuth, PostgreSQL, and Redis. You will also be involved in hybrid job orchestration using tools like Celery, RabbitMQ, Slurm, and Kubernetes. Containerized workflows using Docker, Singularity, and Helm will be part of your tasks. Monitoring and observability tasks will involve tools like Prometheus, Grafana, Loki, and Flower. Cloud-based deployment on platforms like GCP, AWS, and Azure, as well as secure on-prem server management, will also be within your purview. Additionally, you will work on scientific environments involving CUDA, Qiskit, Conda, GROMACS, and Lmod. To qualify for this position, you should hold a minimum Bachelor's Degree in Computer Science or related fields and have at least 2 years of professional work experience in full-stack systems engineering. Proficiency in Python (FastAPI/Celery), Linux (Ubuntu/Debian), and DevOps is required. Familiarity with cloud-native tools like Docker, Kubernetes, Helm, and GitHub Actions is essential. Experience with Slurm, GPU resource allocation, and secure job execution will be beneficial. Any familiarity with quantum SDKs such as Qiskit, PennyLane, and Cirq will be considered a bonus.,

You will be joining our team as a Systems Development Engineer for the Hybrid Scientific Computing Stack. A strong background in computer science and software development is essential for this role, with knowledge of quantum computing considered a valuable asset. Your responsibilities will include managing backend services such as FastAPI, Celery, OAuth, PostgreSQL, and Redis. You will also be involved in hybrid job orchestration using tools like Celery, RabbitMQ, Slurm, and Kubernetes, as well as working on containerized workflows with Docker, Singularity, Helm, and Kubernetes. Monitoring and observability tasks will involve tools like Prometheus, Grafana, Loki, and Flower. Additionally, you will be responsible for cloud-based deployment on platforms like GCP, AWS, and Azure, as well as secure on-prem server management including GPU/CPU scheduling, RBAC, and SSH-only access. Familiarity with scientific environments such as CUDA, Qiskit, Conda, GROMACS, and Lmod will also be part of your role. To qualify for this position, you should hold a minimum Bachelor's Degree in Computer Science or related fields and have at least 2 years of professional work experience in full-stack systems engineering. Proficiency in Python (FastAPI/Celery), Linux (Ubuntu/Debian), and DevOps is required. You should also be familiar with cloud-native tools like Docker, Kubernetes, Helm, and GitHub Actions. Experience with Slurm, GPU resource allocation, and secure job execution will be beneficial. Any familiarity with quantum SDKs such as Qiskit, PennyLane, and Cirq will be considered a bonus.,

Position 1: Junior Research Fellow (JRF) / Senior Reserch Fellows (SRF) Research Area: Quantum Machine Learning / Mathematical Foundations of Deep Learning Job Description: The CVPR Lab at IIT Ropar is seeking a highly motivated Junior Research Fellow (JRF) to contribute to research in quantum machine learning and theoretical deep learning. The selected candidate will assist in the development of novel algorithms, perform rigorous mathematical analysis, and contribute to high-impact publications under expert supervision. Eligibility: • B.Tech / M.Tech in Computer Science, Artificial Intelligence, Data Science, Mathematics and Computing, Engineering Physics, Electrical and Electronics or related fields • Strong foundation in linear algebra, probability theory, and machine learning • GATE/NET qualification is mandatory for B.Tech graduates, and preferred (not mandatory) for M.Tech candidates Desired Skills: • Proficiency in deep learning frameworks such as PyTorch or TensorFlow • Familiarity with quantum computing platforms like Qiskit or PennyLane • Strong analytical and research aptitude —————-……………————— Position 2: Postdoctoral Fellow Research Area: Quantum Machine Learning / Theoretical Deep Learning Job Description: The CVPR Lab invites applications for a Postdoctoral Fellow position to lead research at the intersection of quantum computing and deep learning. The selected candidate will be expected to work independently on advanced theoretical problems, contribute to ongoing funded projects, and mentor junior researchers in the lab. Eligibility: • Ph.D. in Computer Science, Artificial Intelligence, Data Science, Mathematics and Computing, Engineering Physics, Electrical and Electronics or a closely related discipline • Demonstrated record of high-quality research publications in top-tier conferences or journals Desired Skills: • Expertise in variational quantum algorithms, quantum kernel methods, or quantum-enhanced deep learning • Strong theoretical background in topology, geometry, or partial differential equations (PDEs) • Excellent academic writing and collaborative research skills ——————-………………——————- 📍 Location: CVPR Lab, IIT Ropar

Role - Quantum Developer Required Technical Skill Set - Quantum Computing, Optimization, AI/ML Desired Experience Range - 10+ Years Location of Requirement - PAN India Desired Competencies (Technical/Behavioural Competency) Must-Have Strong understanding of quantum mechanics and quantum computing principles Proficiency in python & numerical libraries Experience with quantum frameworks/SDK’s (like Qiskit, Pennylane etc.) Immense experience with classical algorithms & optimization techniques Hands-on experience in modelling & solving optimization problems using various solvers Experience with implementing algorithms on NISQ era devices & quantum annealers Strong foundation in linear algebra (advanced), applied mathematics Good-to-Have Familiarity with different cloud-based quantum services like AWS Brake Knowledge in adjacent areas like machine learning, HPC & cryptography Tensorflow & pytorch (for quantum machine learning apps) Responsibility of / Expectations from the Role Design & implement quantum algorithms for specific use cases (on different problem types – crypto, optimization, AI/ML, simulation) across different manufacturing domains Develop hybrid quantum-classical solutions using various quantum frameworks/SDK’s like Qiskit, Pennylane, Bracket Deploy & test the solutions on different quantum simulators and hardware from different providers like D-wave, IBM, IonQ etc Design mathematical model for optimization problems (MILP, LP, NLP etc.) Work with the cross functional team to understand the problem requirements and model constraints, objectives & variables Implement the model(s) using solvers like Cplex, Gurobi etc Benchmark the results from quantum solutions against classical methods Explore any new tools/frameworks/products launched in quantum computing space

As an Algorithm Researcher in our team, you will play a crucial role in architecting and implementing cutting-edge algorithms with a focus on optimizing performance and efficiency in classical and quantum computing environments. Your responsibilities will include utilizing CUDA for developing and optimizing parallel algorithms, conducting spatial and time complexity analysis to enhance computational performance, and exploring quantum computing principles using platforms like Qiskit to design and test quantum algorithms. Your work will bridge the gap between classical and quantum computing applications, contributing to the development of innovative computing solutions. To excel in this role, you should have a PhD or master's in computer science, Applied Mathematics, Physics, or a related field, with a strong background in algorithm development and optimization. You must demonstrate a proven track record in algorithm optimization using CUDA, possess in-depth knowledge of spatial and time complexity analysis, and have a solid understanding of quantum computing principles along with experience in quantum computing frameworks like Qiskit. Proficiency in programming languages such as Python, C++, or Java is essential, along with familiarity with software development best practices. Your analytical and problem-solving skills will be put to the test as you tackle complex computational challenges. Strong leadership and communication abilities are also necessary for leading collaborative efforts with cross-disciplinary teams and incorporating optimized algorithms into system architectures. Staying updated with the latest advancements in algorithm development, optimization techniques, and quantum computing is vital to your success in this role. Preferred skills for this position include a publication record in relevant fields demonstrating contributions to algorithm optimization, quantum computing, or related areas. Experience in leading R&D projects from conceptualization to implementation, including project management and team leadership, will be considered advantageous. If you are passionate about algorithm research, optimization, and quantum computing, and possess the qualifications and skills mentioned above, we invite you to join our dynamic and collaborative team to drive innovation in the realm of computational research.,

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., 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. 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.

Research and develop quantum algorithms Work with Qiskit for simulation and experimentation Collaborate with R&D teams on quantum computing projects Required: IBM Qiskit Developer Certifications

About The Company (Industry & Sector) An advanced-technology scale-up at the crossroads of Quantum Computing, Artificial Intelligence and Semiconductor Engineering . The hardware division designs full-stack enterprise quantum computers—spanning superconducting processors, cryogenic control electronics and RF instrumentation—to unlock breakthroughs across life-sciences, finance, transportation and space. Role & Responsibilities Architect fully fault-tolerant, scalable quantum processors by crafting blueprints and error-correction strategies for next-generation devices, including patentable IP. Design, simulate and benchmark surface, LDPC and bosonic codes on noise-biased hardware; iterate solutions with cryo-control and fabrication teams. Build numerical tool-chains in Python/QuTiP/Qiskit to model error propagation, mitigation and gate-fidelity limits, delivering data-driven design insights. Prototype dynamical-decoupling and error-mitigation schemes that extend coherence and enable bias-preserving logical gates. Publish peer-reviewed papers, file patents and author internal DoE reports that steer roadmap and funding decisions. Champion rigorous peer reviews, mentor junior researchers and foster cross-functional knowledge-sharing. Skills & Qualifications Must-Have PhD/MS in Physics, Mathematics, Computer Science or allied field with a quantum focus. 3 + years designing quantum error-correction codes (surface, LDPC) and fault-tolerant architectures. Proficiency in Python, MATLAB and quantum-software stacks for large-scale simulations and data analysis. Hands-on experience with dynamical decoupling/error-mitigation techniques on experimental platforms. Strong record of peer-reviewed publications and successful research projects. Excellent problem-solving, communication and collaborative skills. Preferred Familiarity with noise-biased bosonic codes and autonomous error-correction methods. Experience writing DoE and experimental-improvement reports to guide hardware trials. Background in cryogenic control electronics, RF instrumentation or superconducting-qubit fabrication. Proven patent filings or open-source contributions in quantum technology. Exposure to GPU-accelerated simulators or distributed-computing workflows for quantum modelling. Engagement with industry consortia or standards bodies advancing quantum-error-correction research Skills: numerical tool-chains,qubit-control schemes,artificial intelligence,dynamical decoupling,python-based quantum platforms,quantum error-correction codes,problem-solving,superconducting-qubit error-correction schemes,computational modelling of quantum circuits,ldpc codes,numerical methods,communication,quantum-software stacks,circuit qed,peer-reviewed publications,semiconductor,hamiltonian engineering,experimental protocols,collaboration,matlab,error-mitigation techniques,fault-tolerant architectures,quantum computing,python,surface codes,quantum-state & process tomography

About The Company (Industry & Sector) An advanced-technology scale-up at the crossroads of Quantum Computing, Artificial Intelligence and Semiconductor Engineering . The hardware division designs full-stack enterprise quantum computers—spanning superconducting processors, cryogenic control electronics and RF instrumentation—to unlock breakthroughs across life-sciences, finance, transportation and space. Role & Responsibilities Architect fully fault-tolerant, scalable quantum processors by crafting blueprints and error-correction strategies for next-generation devices, including patentable IP. Design, simulate and benchmark surface, LDPC and bosonic codes on noise-biased hardware; iterate solutions with cryo-control and fabrication teams. Build numerical tool-chains in Python/QuTiP/Qiskit to model error propagation, mitigation and gate-fidelity limits, delivering data-driven design insights. Prototype dynamical-decoupling and error-mitigation schemes that extend coherence and enable bias-preserving logical gates. Publish peer-reviewed papers, file patents and author internal DoE reports that steer roadmap and funding decisions. Champion rigorous peer reviews, mentor junior researchers and foster cross-functional knowledge-sharing. Skills & Qualifications Must-Have PhD/MS in Physics, Mathematics, Computer Science or allied field with a quantum focus. 3 + years designing quantum error-correction codes (surface, LDPC) and fault-tolerant architectures. Proficiency in Python, MATLAB and quantum-software stacks for large-scale simulations and data analysis. Hands-on experience with dynamical decoupling/error-mitigation techniques on experimental platforms. Strong record of peer-reviewed publications and successful research projects. Excellent problem-solving, communication and collaborative skills. Preferred Familiarity with noise-biased bosonic codes and autonomous error-correction methods. Experience writing DoE and experimental-improvement reports to guide hardware trials. Background in cryogenic control electronics, RF instrumentation or superconducting-qubit fabrication. Proven patent filings or open-source contributions in quantum technology. Exposure to GPU-accelerated simulators or distributed-computing workflows for quantum modelling. Engagement with industry consortia or standards bodies advancing quantum-error-correction research Skills: numerical tool-chains,qubit-control schemes,artificial intelligence,dynamical decoupling,python-based quantum platforms,quantum error-correction codes,problem-solving,superconducting-qubit error-correction schemes,computational modelling of quantum circuits,ldpc codes,numerical methods,communication,quantum-software stacks,circuit qed,peer-reviewed publications,semiconductor,hamiltonian engineering,experimental protocols,collaboration,matlab,error-mitigation techniques,fault-tolerant architectures,quantum computing,python,surface codes,quantum-state & process tomography

About The Company (Industry & Sector) An advanced-technology scale-up at the crossroads of Quantum Computing, Artificial Intelligence and Semiconductor Engineering . The hardware division designs full-stack enterprise quantum computers—spanning superconducting processors, cryogenic control electronics and RF instrumentation—to unlock breakthroughs across life-sciences, finance, transportation and space. Role & Responsibilities Model coupled superconducting-qubit systems, building Hamiltonian-level descriptions and validating them through large-scale numerical simulations focused on error-correction performance. Develop and optimise qubit-control schemes in close collaboration with processor-design engineers, informing architecture improvements. Design simulation workflows and computational tools to predict coherence times, gate fidelities and other key device metrics. Create experimental protocols and analysis pipelines for quantum-state & process tomography, feeding results back into theoretical models. Publish findings in peer-reviewed venues and author technical reports that guide design-of-experiments (DoE) and roadmap decisions. Champion a culture of rigorous peer review, knowledge-sharing and cross-functional collaboration within the quantum-hardware programme. Skills & Qualifications Must-Have MSc/M.Tech/PhD in Physics, Electrical Engineering or related field with strong quantum-mechanics foundation. Deep knowledge of Hamiltonian engineering, circuit QED and superconducting-qubit error-correction schemes. Expertise in numerical methods & computational modelling of quantum circuits; proficiency with Python-based quantum platforms (e.g., QuTiP, Qiskit, Cirq). Experience designing protocols to measure coherence times, gate fidelities and tomography. Demonstrated record of peer-reviewed publications in quantum technology and strong problem-solving & communication skills. Preferred Familiarity with bosonic codes, autonomous error-correction and advanced value-engineering techniques. Experience writing analytical reports to shape DoE and experimentation roadmaps. Prior work on GPU-accelerated simulators or distributed-computing pipelines for large-scale quantum modelling. Contributions to open-source quantum-software libraries or standards bodies. Exposure to hybrid AI-quantum workflows or domain-specific optimisation (life-sciences, finance, materials). Skills: qubit-control schemes,semiconductor,quantum-state & process tomography,artificial intelligence,computational modelling of quantum circuits,hamiltonian engineering,python-based quantum platforms,circuit qed,numerical methods,experimental protocols,superconducting-qubit error-correction schemes,quantum computing

About The Company (Industry & Sector) An advanced-technology scale-up at the crossroads of Quantum Computing, Artificial Intelligence and Semiconductor Engineering . The hardware division designs full-stack enterprise quantum computers—spanning superconducting processors, cryogenic control electronics and RF instrumentation—to unlock breakthroughs across life-sciences, finance, transportation and space. Role & Responsibilities Model coupled superconducting-qubit systems, building Hamiltonian-level descriptions and validating them through large-scale numerical simulations focused on error-correction performance. Develop and optimise qubit-control schemes in close collaboration with processor-design engineers, informing architecture improvements. Design simulation workflows and computational tools to predict coherence times, gate fidelities and other key device metrics. Create experimental protocols and analysis pipelines for quantum-state & process tomography, feeding results back into theoretical models. Publish findings in peer-reviewed venues and author technical reports that guide design-of-experiments (DoE) and roadmap decisions. Champion a culture of rigorous peer review, knowledge-sharing and cross-functional collaboration within the quantum-hardware programme. Skills & Qualifications Must-Have MSc/M.Tech/PhD in Physics, Electrical Engineering or related field with strong quantum-mechanics foundation. Deep knowledge of Hamiltonian engineering, circuit QED and superconducting-qubit error-correction schemes. Expertise in numerical methods & computational modelling of quantum circuits; proficiency with Python-based quantum platforms (e.g., QuTiP, Qiskit, Cirq). Experience designing protocols to measure coherence times, gate fidelities and tomography. Demonstrated record of peer-reviewed publications in quantum technology and strong problem-solving & communication skills. Preferred Familiarity with bosonic codes, autonomous error-correction and advanced value-engineering techniques. Experience writing analytical reports to shape DoE and experimentation roadmaps. Prior work on GPU-accelerated simulators or distributed-computing pipelines for large-scale quantum modelling. Contributions to open-source quantum-software libraries or standards bodies. Exposure to hybrid AI-quantum workflows or domain-specific optimisation (life-sciences, finance, materials). Skills: qubit-control schemes,semiconductor,quantum-state & process tomography,artificial intelligence,computational modelling of quantum circuits,hamiltonian engineering,python-based quantum platforms,circuit qed,numerical methods,experimental protocols,superconducting-qubit error-correction schemes,quantum computing

Advanced Hiring: Quantum Developers Professionals to Create Advanced, Cross-Platform Quantum Intelligence Solutions We are at the forefront of the technological future, looking for highly experienced and advanced Quantum Developers to join our team specialized in building innovative Quantum Intelligence projects, including the development of highly capable quantum intelligence systems and intelligent models based on quantum computing, with the ability to design and create advanced web and mobile applications across various sectors and services. About the job opportunity Our project aims to combine the power of quantum computing with modern quantum intelligence technologies, particularly in the field of large language models (LLMs) and intelligent conversational applications (Chatbots), which requires technical personnel with advanced skills in: Programming Quantum Intelligence: Developing quantum machine learning and quantum deep learning algorithms to enhance the capabilities of intelligent models. Building intelligent systems with GPT: The ability to build language models based on the integration of intelligence, quantum intelligence, and quantum computing models to enhance performance and accuracy. Developing highly efficient, intelligent chatbot infrastructures using quantum intelligence capable of handling massive amounts of data at unprecedented speeds. Main tasks and responsibilities Design, build, and develop advanced quantum algorithms and circuits that support the implementation of quantum AI models. Develop specialized software for Quantum Machine Learning combined with quantum intelligence systems to enhance the capabilities of digital models. Create web and mobile applications that interact with quantum intelligence systems via APIs or custom solutions to support sectors such as finance, healthcare, logistics, and others. Develop user-friendly and secure UX/UI interfaces that allow interaction with intelligent forms in real time. Quantum Cloud Integration manages remote cloud infrastructures to ensure high performance, stability, and scalability. Applying the latest quantum encryption and information security technologies to ensure the protection of vital data in quantum intelligence systems. Work within multidisciplinary teams to design and implement integrated solutions from the research phase to commercial implementation. Required qualifications and experience 🔧 At least 4 years of practical experience in quantum computing programming and quantum intelligence algorithms. High proficiency in quantum computing programming languages: Qiskit, Cirq, Q#, PyQuil, with experience in developing Quantum Machine Learning algorithms. Proven experience in designing and developing GPT-like systems and NLP (Natural Language Processing) technologies powered by quantum intelligence. Ability to integrate quantum intelligence with cloud application interfaces, support for RESTful APIs, GraphQL. Proficient in developing web applications using React.js, Angular, Vue.js, and Native and Cross-platform mobile applications (Flutter, React Native). Experience in cloud quantum computing environments: IBM Quantum Experience, Microsoft Azure Quantum, Amazon Braket, etc. Advanced knowledge of Post-Quantum Cryptography and network security techniques. Highly skilled in analysis and architectural design of complex, multi-layered software projects. Advanced level of English and strong communication skills to work in an international technical environment. Job titles available within the work team Senior Quantum Developer : Specializes in quantum intelligence and quantum learning algorithms. Quantum NLP Engineer : Building quantum NLP models and developing chatbots. Full Stack Quantum Developer : Develop and manage integrated web and mobile applications that support quantum intelligence. Mobile Quantum Engineer : Building interactive mobile applications with quantum intelligence systems. Quantum Cloud Platform Engineer : Managing cloud infrastructure for quantum computing and intelligence systems. Quantum Security Specialist : Securing intelligent quantum systems with a high level of protection. Quantum QA & Testing Engineer : Perform comprehensive testing and performance quality analysis of complex systems. Why join us? Opportunity to work on the world's most advanced quantum intelligence projects that combine quantum computing with cutting-edge intelligent systems. A stimulating research and development environment that combines technical innovation with practical application on a large commercial scale. Continuous funding and support for professional and technical training and development. Collaborate with global experts in the fields of quantum computing, intelligence, and software development. The possibility of participating in the dissemination of new research and technologies that impact the future of industry and technology. How to apply Interested and talented individuals who meet the requirements should send a detailed CV with a summary of their projects and achievements in the fields of quantum computing or quantum artificial intelligence to the following email address: For communication and inquiries 📞 e-mail: info@satstechnologygroup.co ✨ Be part of a team shaping the future! Developing advanced quantum intelligence systems. The future awaits your talents. Join us and participate in building an unparalleled global technological future! ✨

Position: Quantum Research Scientist – Core Quantum Systems Location: Yazhvin HQ (Chennai or Bengaluru) or Remote – India Experience Required: 1–10 years in quantum computing R&D or relevant PhD/Postdoc Division: Yazhvin Quantum Lab (YQL) --- 🔬 What We're Actually Building Yazhvin is building full-stack, sovereign Quantum Computing infrastructure: Quantum SI Chips (Superconducting/Photonic hybrid) Quantum OS (low-level firmware to abstraction interface) VinOS-Q: AI-powered OS for Quantum-Classic hybrid systems VinPhone: Quantum-accelerated secure mobile device VinCloud Quantum Tier: India’s first end-to-end QC cloud This is not a research-for-research's-sake role — your work must align with real hardware, near-term implementation, and long-term scaling goals. --- 🎯 Who We're Looking For — Must-Have Profile > We want hands-on researchers, not just theorists. ✅ Required Technical Background PhD / MTech / MSc / BTech from a top institution (IITs, IISc, BITS, MIT, Caltech, etc.) Strong foundation in quantum mechanics, solid-state physics, or quantum information theory Experience in Quantum Device Modeling or Quantum Circuit Design Familiarity with Qiskit, Cirq, QuTiP, or custom simulators Programming: Python, C++, or Rust (for sim/firmware integration) 🎓 Academic Track Record Publications in quantum computing, quantum hardware, or quantum algorithms Demonstrated project work with real-world applications, not just theory --- 🛠️ Bonus Skills (Preferred, Not Mandatory) Experience in fabricating or simulating superconducting/photonic/spin qubits Cryogenic system familiarity or chip-level experimental physics Compiler design or quantum-classical interfacing Experience in building quantum firmware, error correction layers, or quantum OS primitives --- 🧪 Responsibilities Design, simulate, or analyze components of Quantum SI-Chips Work on compiler and abstraction layer for Quantum-Classical hybrid control Prototype and integrate quantum subsystems into Yazhvin’s VinOS-Q Collaborate with the hardware team to co-design chip + software logic Publish and present results; optionally guide junior researchers/interns --- 🧬 Why Join? Work on India’s first sovereign quantum stack Collaborate directly with hardware, compiler, and AI engineers Access to custom simulation infra + future quantum fab Option to lead Yazhvin Quantum Research spinouts or IP filings Show more Show less