40 Qiskit Jobs

About The Role We are seeking a PhD/Postdoctoral Researcher in Quantum Physics, Quantum Mathematics, or related fields to lead the design and validation of cutting-edge educational courses in Quantum Technology. The candidate will play a pivotal role in ensuring that course content is not only scientifically rigorous but also industry-relevant, bridging fundamental quantum science with real-world applications in computational chemistry, drug discovery, material science, and finance. Key Responsibilities Curriculum Development & Validation Design end-to-end course structures spanning foundational to advanced levels in quantum technology. Validate course content developed by content writers, ensuring academic accuracy and conceptual clarity. Map learning outcomes, progression pathways, and prerequisites for each module. Foundational Modules Develop and validate fundamentals of: Mathematics: Linear algebra, probability, complex numbers, tensor calculus, group theory. Physics: Quantum mechanics principles (superposition, entanglement, measurement, operators, Hamiltonians). Chemistry: Electronic structure theory, molecular orbitals, reaction dynamics relevant to quantum simulations. Core Quantum Technology Modules Quantum computing fundamentals: Qubits, gates, circuits, error correction. Quantum algorithms: VQE, QAOA, Grover’s, Shor’s, quantum simulation methods. Quantum machine learning and hybrid quantum-classical workflows. Quantum hardware overview (superconducting qubits, trapped ions, photonic platforms). Application-Oriented Modules Computational Chemistry & Drug Discovery Quantum simulations of molecules and reaction pathways. Protein-ligand docking and binding affinity prediction. Material Science Designing new energy storage materials (batteries, catalysts, superconductors). Quantum-enhanced material property prediction. Finance Portfolio optimization using quantum algorithms. Quantum Monte Carlo simulations for risk analysis and option pricing. Capstone & Use Case Integration Design case-study-driven modules showing enterprise applications. Develop hands-on project ideas linking quantum theory to real-world impact. Ensure industry relevance by aligning content with latest research and technology trends. Requirements PhD or Postdoctoral experience in Quantum Physics, Quantum Mathematics, Quantum Computing, or closely related fields. Proven research background with peer-reviewed publications in quantum science or related domains. Strong ability to translate theoretical concepts into structured, teachable content. Familiarity with computational chemistry, materials modeling, or quantum finance applications is highly desirable. Experience with quantum programming frameworks (Qiskit, Pennylane, Cirq, PySCF, etc.). Excellent communication and academic writing skills. Preferred Skills Experience in curriculum design or teaching (university or MOOCs). Knowledge of multidisciplinary integration across physics, chemistry, and applied mathematics. Strong understanding of enterprise adoption of quantum technology in pharma, materials, and finance. Ability to mentor junior researchers, content writers, or course developers. Impact of the Role This role ensures that all courses designed by the organization are scientifically validated, globally competitive, and enterprise-relevant. The candidate will serve as the intellectual backbone of our quantum education initiatives, guaranteeing rigor, credibility, and innovation in quantum learning solutions.

About the Role: We are seeking a PhD/Postdoctoral Researcher in Quantum Physics, Quantum Mathematics, or related fields to lead the design and validation of cutting-edge educational courses in Quantum Technology. The candidate will play a pivotal role in ensuring that course content is not only scientifically rigorous but also industry-relevant, bridging fundamental quantum science with real-world applications in computational chemistry, drug discovery, material science, and finance. Key Responsibilities: Curriculum Development & Validation Design end-to-end course structures spanning foundational to advanced levels in quantum technology. Validate course content developed by content writers, ensuring academic accuracy and conceptual clarity. Map learning outcomes, progression pathways, and prerequisites for each module. Foundational Modules Develop and validate fundamentals of: Mathematics: Linear algebra, probability, complex numbers, tensor calculus, group theory. Physics: Quantum mechanics principles (superposition, entanglement, measurement, operators, Hamiltonians). Chemistry: Electronic structure theory, molecular orbitals, reaction dynamics relevant to quantum simulations. Core Quantum Technology Modules Quantum computing fundamentals: Qubits, gates, circuits, error correction. Quantum algorithms: VQE, QAOA, Grover’s, Shor’s, quantum simulation methods. Quantum machine learning and hybrid quantum-classical workflows. Quantum hardware overview (superconducting qubits, trapped ions, photonic platforms). Application-Oriented Modules Computational Chemistry & Drug Discovery Quantum simulations of molecules and reaction pathways. Protein-ligand docking and binding affinity prediction. Material Science Designing new energy storage materials (batteries, catalysts, superconductors). Quantum-enhanced material property prediction. Finance Portfolio optimization using quantum algorithms. Quantum Monte Carlo simulations for risk analysis and option pricing. Capstone & Use Case Integration Design case-study-driven modules showing enterprise applications. Develop hands-on project ideas linking quantum theory to real-world impact. Ensure industry relevance by aligning content with latest research and technology trends. Requirements: PhD or Postdoctoral experience in Quantum Physics, Quantum Mathematics, Quantum Computing, or closely related fields. Proven research background with peer-reviewed publications in quantum science or related domains. Strong ability to translate theoretical concepts into structured, teachable content. Familiarity with computational chemistry, materials modeling, or quantum finance applications is highly desirable. Experience with quantum programming frameworks (Qiskit, Pennylane, Cirq, PySCF, etc.). Excellent communication and academic writing skills. Preferred Skills Experience in curriculum design or teaching (university or MOOCs). Knowledge of multidisciplinary integration across physics, chemistry, and applied mathematics. Strong understanding of enterprise adoption of quantum technology in pharma, materials, and finance. Ability to mentor junior researchers, content writers, or course developers. Impact of the Role This role ensures that all courses designed by the organization are scientifically validated, globally competitive, and enterprise-relevant. The candidate will serve as the intellectual backbone of our quantum education initiatives, guaranteeing rigor, credibility, and innovation in quantum learning solutions.

Job Title: Quantum Computing Trainer (Contract – 10 Days) Location: Vijayawada, Andhra Pradesh Duration: 15th September 2025 – 10 Working Days (Contract) Job Description: We are seeking a highly skilled Quantum Computing Trainer to deliver an intensive 10-day training program for college students in Vijayawada. The trainer will cover both theoretical foundations and practical applications of quantum computing, guiding students through core concepts, algorithms, and hands-on programming using modern quantum platforms. Training Modules (Day-wise): ->Day 1: Classical vs Quantum computing, Deterministic vs Probabilistic systems, Qubits & states, Measurements, Density matrices, Dirac notation. ->Day 2: Basics of Linear Algebra & Quantum Mechanics, Decoherence, Introduction to Entanglement. ->Day 3: Quantum Gates (X, Y, Z, H, CNOT), Circuit design & simulation. ->Day 4: Superposition, Entanglement, No-cloning theorem, Quantum Teleportation. ->Day 5: Quantum interference, Decoherence, Bell’s inequality, SQUID devices. ->Day 6: Deutsch & Deutsch–Jozsa Algorithms, Grover’s Algorithm. ->Day 7: Simon’s Algorithm, Quantum Fourier Transform (QFT). ->Day 8: Shor’s Algorithm, Applications in cryptography, factoring & search. ->Day 9: Quantum circuit model, Error correction (bit/phase flip), Quantum Cryptography (BB84, QKD), Communication protocols. ->Day 10: Quantum Assembly, Quantum Turing Machine, QRAM, Hands-on with Qiskit/IBM/Pennylane, Applications in Crypto, ML, Finance, Healthcare, AI. Responsibilities: Deliver structured, engaging sessions on the above modules. Provide hands-on demonstrations with Qiskit/IBM Quantum/Pennylane. Guide students through exercises, algorithms, and quantum programming. Ensure strong conceptual clarity and practical learning outcomes. Requirements: Strong expertise in Quantum Computing, Quantum Mechanics, and Algorithms. Experience with Qiskit, IBM Quantum, or similar platforms. Prior teaching/training experience preferred. Excellent communication and mentoring skills. Contract Details: Duration: 10 Working Days (from 15th Sept 2025) Mode: Vijayawada, AP (Onsite) Compensation: As per industry norms Job Type: Contractual / Temporary Contract length: 10 days Language: English (Preferred) Work Location: In person

Key Responsibilities: Develop well-structured curricula covering foundational and advanced topics in quantum technology. Create step-by-step learning modules starting with basics in mathematics, physics, and chemistry relevant to quantum. Write theory, explanations, examples, exercises, and case studies to support the learning journey. Develop concept notes, course handbooks, slide decks, quizzes, and assessments Convert complex technical concepts into clear, accessible, and engaging learning material. Collaborate with subject matter experts (SMEs) in quantum computing, chemistry, materials science, and finance. Write course content showing how quantum technology is applied in: Computational Chemistry – molecular simulations, protein-ligand docking, drug design. Drug Discovery – accelerating lead discovery, binding affinity prediction, quantum-enhanced screening. Material Science – battery materials, catalysts, superconductors, and electronic materials design. Finance – portfolio optimization, risk analysis, option pricing using quantum algorithms. Learning Experience Focus Ensure all content is modular, practical, and case study driven. Incorporate illustrations, examples, and enterprise outcomes. Design progressive learning paths from beginner to advanced level. Course Content Outline Foundational Modules Mathematics: linear algebra, probability, complex numbers, tensor products. Physics: quantum mechanics basics – superposition, entanglement, operators, Hamiltonians. Chemistry: electronic structure, molecular orbitals, reaction mechanisms. Quantum Technology Fundamentals Quantum computing basics: qubits, gates, circuits. Quantum algorithms: VQE, QAOA, Grover’s, Shor’s. Quantum machine learning foundations. Quantum hardware overview: superconducting qubits, trapped ions, photonic systems. Domain-Specific Applications: Computational Chemistry & Drug Discovery - Quantum simulations of molecules. Protein-ligand docking with quantum accuracy. Drug target prediction. Material Science: Designing new battery/electrode materials. Quantum-enhanced material property prediction. Finance: Quantum optimization for portfolios. Monte Carlo simulations on quantum devices. Risk management use cases. Capstone & Enterprise Use Cases:Real-world case studies from industry leaders. Hands-on project ideas for learners. Business outcomes of adopting quantum technology. Requirements : Strong background in technical content writing or instructional design. Graduate/Postgraduate degree in Physics, Mathematics, Chemistry, Computer Science, or related fields. Prior experience creating educational content, MOOCs, or technical documentation. Ability to simplify complex concepts for diverse learners. Familiarity with quantum computing frameworks (Qiskit, etc.) is a plus. Excellent command of written English and strong research skills. Passion for education, science communication, and emerging technologies . Understanding of current trends in quantum technology applications . Ability to design interactive and engaging course material (videos, slides, quizzes). Job Types: Full-time, Permanent Pay: ₹1,100,000.00 - ₹1,500,000.00 per year Benefits: Health insurance Leave encashment Life insurance Paid time off Provident Fund Work from home Work Location: In person

Job Title: Quantum Computing Trainer (Contract – 10 Days) Location: Vijayawada, Andhra Pradesh Duration: 15th September 2025 – 10 Working Days (Contract) Job Description: We are seeking a highly skilled Quantum Computing Trainer to deliver an intensive 10-day training program for college students in Vijayawada. The trainer will cover both theoretical foundations and practical applications of quantum computing, guiding students through core concepts, algorithms, and hands-on programming using modern quantum platforms. Training Modules (Day-wise): ->Day 1: Classical vs Quantum computing, Deterministic vs Probabilistic systems, Qubits & states, Measurements, Density matrices, Dirac notation. ->Day 2: Basics of Linear Algebra & Quantum Mechanics, Decoherence, Introduction to Entanglement. ->Day 3: Quantum Gates (X, Y, Z, H, CNOT), Circuit design & simulation. ->Day 4: Superposition, Entanglement, No-cloning theorem, Quantum Teleportation. ->Day 5: Quantum interference, Decoherence, Bell’s inequality, SQUID devices. ->Day 6: Deutsch & Deutsch–Jozsa Algorithms, Grover’s Algorithm. ->Day 7: Simon’s Algorithm, Quantum Fourier Transform (QFT). ->Day 8: Shor’s Algorithm, Applications in cryptography, factoring & search. ->Day 9: Quantum circuit model, Error correction (bit/phase flip), Quantum Cryptography (BB84, QKD), Communication protocols. ->Day 10: Quantum Assembly, Quantum Turing Machine, QRAM, Hands-on with Qiskit/IBM/Pennylane, Applications in Crypto, ML, Finance, Healthcare, AI. Responsibilities: Deliver structured, engaging sessions on the above modules. Provide hands-on demonstrations with Qiskit/IBM Quantum/Pennylane. Guide students through exercises, algorithms, and quantum programming. Ensure strong conceptual clarity and practical learning outcomes. Requirements: Strong expertise in Quantum Computing, Quantum Mechanics, and Algorithms. Experience with Qiskit, IBM Quantum, or similar platforms. Prior teaching/training experience preferred. Excellent communication and mentoring skills. Contract Details: Duration: 10 Working Days (from 15th Sept 2025) Mode: Vijayawada, AP (Onsite) Compensation: As per industry norms Job Type: Contractual / Temporary Contract length: 10 days Language: English (Preferred) Work Location: In person

Key Responsibilities Develop well-structured curricula covering foundational and advanced topics in quantum technology. Create step-by-step learning modules starting with basics in mathematics, physics, and chemistry relevant to quantum. Write theory, explanations, examples, exercises, and case studies to support the learning journey. Develop concept notes, course handbooks, slide decks, quizzes, and assessments Convert complex technical concepts into clear, accessible, and engaging learning material. Collaborate with subject matter experts (SMEs) in quantum computing, chemistry, materials science, and finance. Write course content showing how quantum technology is applied in: Computational Chemistry – molecular simulations, protein-ligand docking, drug design. Drug Discovery – accelerating lead discovery, binding affinity prediction, quantum-enhanced screening. Material Science – battery materials, catalysts, superconductors, and electronic materials design. Finance – portfolio optimization, risk analysis, option pricing using quantum algorithms. Learning Experience Focus Ensure all content is modular, practical, and case study driven. Incorporate illustrations, examples, and enterprise outcomes. Design progressive learning paths from beginner to advanced level. Course Content Outline Foundational Modules Mathematics: linear algebra, probability, complex numbers, tensor products. Physics: quantum mechanics basics – superposition, entanglement, operators, Hamiltonians. Chemistry: electronic structure, molecular orbitals, reaction mechanisms. Quantum Technology Fundamentals Quantum computing basics: qubits, gates, circuits. Quantum algorithms: VQE, QAOA, Grover’s, Shor’s. Quantum machine learning foundations. Quantum hardware overview: superconducting qubits, trapped ions, photonic systems. Domain-Specific Applications Computational Chemistry & Drug Discovery - Quantum simulations of molecules. Protein-ligand docking with quantum accuracy. Drug target prediction. Material Science Designing new battery/electrode materials. Quantum-enhanced material property prediction. Finance Quantum optimization for portfolios. Monte Carlo simulations on quantum devices. Risk management use cases. Capstone & Enterprise Use Cases Real-world case studies from industry leaders. Hands-on project ideas for learners. Business outcomes of adopting quantum technology. Requirements Strong background in technical content writing or instructional design. Graduate/Postgraduate degree in Physics, Mathematics, Chemistry, Computer Science, or related fields. Prior experience creating educational content, MOOCs, or technical documentation. Ability to simplify complex concepts for diverse learners. Familiarity with quantum computing frameworks (Qiskit, etc.) is a plus. Excellent command of written English and strong research skills. Passion for education, science communication, and emerging technologies . Understanding of current trends in quantum technology applications . Ability to design interactive and engaging course material (videos, slides, quizzes).

Key Responsibilities Develop well-structured curricula covering foundational and advanced topics in quantum technology. Create step-by-step learning modules starting with basics in mathematics, physics, and chemistry relevant to quantum. Write theory, explanations, examples, exercises, and case studies to support the learning journey. Develop concept notes, course handbooks, slide decks, quizzes, and assessments Convert complex technical concepts into clear, accessible, and engaging learning material. Collaborate with subject matter experts (SMEs) in quantum computing, chemistry, materials science, and finance. Write course content showing how quantum technology is applied in: Computational Chemistry – molecular simulations, protein-ligand docking, drug design. Drug Discovery – accelerating lead discovery, binding affinity prediction, quantum-enhanced screening. Material Science – battery materials, catalysts, superconductors, and electronic materials design. Finance – portfolio optimization, risk analysis, option pricing using quantum algorithms. Learning Experience Focus Ensure all content is modular, practical, and case study driven. Incorporate illustrations, examples, and enterprise outcomes. Design progressive learning paths from beginner to advanced level. Course Content Outline Foundational Modules Mathematics: linear algebra, probability, complex numbers, tensor products. Physics: quantum mechanics basics – superposition, entanglement, operators, Hamiltonians. Chemistry: electronic structure, molecular orbitals, reaction mechanisms. Quantum Technology Fundamentals Quantum computing basics: qubits, gates, circuits. Quantum algorithms: VQE, QAOA, Grover’s, Shor’s. Quantum machine learning foundations. Quantum hardware overview: superconducting qubits, trapped ions, photonic systems. Domain-Specific Applications Computational Chemistry & Drug Discovery - Quantum simulations of molecules. Protein-ligand docking with quantum accuracy. Drug target prediction. Material Science Designing new battery/electrode materials. Quantum-enhanced material property prediction. Finance Quantum optimization for portfolios. Monte Carlo simulations on quantum devices. Risk management use cases. Capstone & Enterprise Use Cases Real-world case studies from industry leaders. Hands-on project ideas for learners. Business outcomes of adopting quantum technology. Requirements Strong background in technical content writing or instructional design. Graduate/Postgraduate degree in Physics, Mathematics, Chemistry, Computer Science, or related fields. Prior experience creating educational content, MOOCs, or technical documentation. Ability to simplify complex concepts for diverse learners. Familiarity with quantum computing frameworks (Qiskit, etc.) is a plus. Excellent command of written English and strong research skills. Passion for education, science communication, and emerging technologies . Understanding of current trends in quantum technology applications . Ability to design interactive and engaging course material (videos, slides, quizzes).

Key Responsibilities: Develop well-structured curricula covering foundational and advanced topics in quantum technology. Create step-by-step learning modules starting with basics in mathematics, physics, and chemistry relevant to quantum. Write theory, explanations, examples, exercises, and case studies to support the learning journey. Develop concept notes, course handbooks, slide decks, quizzes, and assessments Convert complex technical concepts into clear, accessible, and engaging learning material. Collaborate with subject matter experts (SMEs) in quantum computing, chemistry, materials science, and finance. Write course content showing how quantum technology is applied in: Computational Chemistry – molecular simulations, protein-ligand docking, drug design. Drug Discovery – accelerating lead discovery, binding affinity prediction, quantum-enhanced screening. Material Science – battery materials, catalysts, superconductors, and electronic materials design. Finance – portfolio optimization, risk analysis, option pricing using quantum algorithms. Learning Experience Focus Ensure all content is modular, practical, and case study driven. Incorporate illustrations, examples, and enterprise outcomes. Design progressive learning paths from beginner to advanced level. Course Content Outline Foundational Modules Mathematics: linear algebra, probability, complex numbers, tensor products. Physics: quantum mechanics basics – superposition, entanglement, operators, Hamiltonians. Chemistry: electronic structure, molecular orbitals, reaction mechanisms. Quantum Technology Fundamentals Quantum computing basics: qubits, gates, circuits. Quantum algorithms: VQE, QAOA, Grover’s, Shor’s. Quantum machine learning foundations. Quantum hardware overview: superconducting qubits, trapped ions, photonic systems. Domain-Specific Applications: Computational Chemistry & Drug Discovery - Quantum simulations of molecules. Protein-ligand docking with quantum accuracy. Drug target prediction. Material Science: Designing new battery/electrode materials. Quantum-enhanced material property prediction. Finance: Quantum optimization for portfolios. Monte Carlo simulations on quantum devices. Risk management use cases. Capstone & Enterprise Use Cases: Real-world case studies from industry leaders. Hands-on project ideas for learners. Business outcomes of adopting quantum technology. Requirements: Strong background in technical content writing or instructional design. Graduate/Postgraduate degree in Physics, Mathematics, Chemistry, Computer Science, or related fields. Prior experience creating educational content, MOOCs, or technical documentation. Ability to simplify complex concepts for diverse learners. Familiarity with quantum computing frameworks (Qiskit, etc.) is a plus. Excellent command of written English and strong research skills. Passion for education, science communication, and emerging technologies . Understanding of current trends in quantum technology applications . Ability to design interactive and engaging course material (videos, slides, quizzes).

JOB PURPOSE We are seeking a dynamic, forward-thinking Business Development Leader to drive growth across our AI, Cloud, and Quantum solution portfolios. This role combines deep technology awareness with strategic selling and ecosystem-building capabilities. You will work across verticals, orchestrate client and partner engagements, and help shape future ready GTM strategies for digital infrastructure, enterprise AI adoption, and quantum innovation. ROLE DESCRIPTION Business Growth & Client Engagement Own P&L for strategic accounts and lead opportunity identification across AI workloads, cloud transformation, and quantum PoCs. Engage with CXOs, innovation heads, and digital officers to map client needs to advanced tech solutions. Drive sales motions for private/hybrid cloud, GenAI platforms, GPU hosting, and early-stage quantum computing services. Partnerships & Alliances Build and manage alliances with hyperscalers (AWS, Azure, GCP), AI/LLM platforms, and global quantum vendors. Leverage ecosystem partnerships for joint GTMs, co-innovation, and capability expansion. Liaise with academia, R&D labs, and government agencies for grants and co-development in quantum/AI. Technology & Innovation Leadership Collaborate with product, delivery, and CTO teams to evolve solution offerings across AI/ML, data lakes, and GPU-optimized cloud. Stay ahead of trends in sovereign cloud, GenAI, post-quantum security, and domain specific LLMs. Represent the company at key summits, think tanks, and policy forums on AI & Quantum. Commercial Structuring & Strategy Shape innovative business models — outcome-based pricing, joint IP monetization, sandbox-to-scale programs. Drive consultative sales engagements, PoCs, and enterprise-wide transformation initiatives. Support strategic planning and M&A evaluations in emerging tech-led verticals. Experience & Educational Requirements EDUCATIONAL QUALIFICATIONS (Degree, training, or certification required) • Bachelor’s in engineering / computer science; MBA or advanced tech degree preferred. RELEVANT EXPERIENCE (No of years of technical & functional experience required ) 10+ years of enterprise BD experience in AI/Cloud/Tech Infra; Quantum exposure is a bonus. Demonstrated success in complex deal structuring, ecosystem orchestration, and GTM execution. Understanding of AI/ML stacks (e.g., Hugging Face, LangChain), cloud-native infra (K8s, VMware), and quantum tools (Qiskit, Cirq, Xanadu). Key Attributes Strategic thinker with strong execution muscle Tech-savvy with commercial acumen Excellent storytelling and stakeholder management skills Ability to operate in a fast-evolving, ambiguous tech landscape

JOB PURPOSE We are seeking a dynamic, forward-thinking Business Development Leader to drive growth across our AI, Cloud, and Quantum solution portfolios. This role combines deep technology awareness with strategic selling and ecosystem-building capabilities. You will work across verticals, orchestrate client and partner engagements, and help shape future ready GTM strategies for digital infrastructure, enterprise AI adoption, and quantum innovation. ROLE DESCRIPTION Business Growth & Client Engagement Own P&L for strategic accounts and lead opportunity identification across AI workloads, cloud transformation, and quantum PoCs. Engage with CXOs, innovation heads, and digital officers to map client needs to advanced tech solutions. Drive sales motions for private/hybrid cloud, GenAI platforms, GPU hosting, and early-stage quantum computing services. Partnerships & Alliances Build and manage alliances with hyperscalers (AWS, Azure, GCP), AI/LLM platforms, and global quantum vendors. Leverage ecosystem partnerships for joint GTMs, co-innovation, and capability expansion. Liaise with academia, R&D labs, and government agencies for grants and co-development in quantum/AI. Technology & Innovation Leadership Collaborate with product, delivery, and CTO teams to evolve solution offerings across AI/ML, data lakes, and GPU-optimized cloud. Stay ahead of trends in sovereign cloud, GenAI, post-quantum security, and domain specific LLMs. Represent the company at key summits, think tanks, and policy forums on AI & Quantum. Commercial Structuring & Strategy Shape innovative business models — outcome-based pricing, joint IP monetization, sandbox-to-scale programs. Drive consultative sales engagements, PoCs, and enterprise-wide transformation initiatives. Support strategic planning and M&A evaluations in emerging tech-led verticals. Experience & Educational Requirements EDUCATIONAL QUALIFICATIONS (Degree, training, or certification required) • Bachelor’s in engineering / computer science; MBA or advanced tech degree preferred. RELEVANT EXPERIENCE (No of years of technical & functional experience required ) 10+ years of enterprise BD experience in AI/Cloud/Tech Infra; Quantum exposure is a bonus. Demonstrated success in complex deal structuring, ecosystem orchestration, and GTM execution. Understanding of AI/ML stacks (e.g., Hugging Face, LangChain), cloud-native infra (K8s, VMware), and quantum tools (Qiskit, Cirq, Xanadu). Key Attributes Strategic thinker with strong execution muscle Tech-savvy with commercial acumen Excellent storytelling and stakeholder management skills Ability to operate in a fast-evolving, ambiguous tech landscape

JOB PURPOSE We are seeking a dynamic, forward-thinking Business Development Leader to drive growth across our AI, Cloud, and Quantum solution portfolios. This role combines deep technology awareness with strategic selling and ecosystem-building capabilities. You will work across verticals, orchestrate client and partner engagements, and help shape future ready GTM strategies for digital infrastructure, enterprise AI adoption, and quantum innovation. ROLE DESCRIPTION Business Growth & Client Engagement Own P&L for strategic accounts and lead opportunity identification across AI workloads, cloud transformation, and quantum PoCs. Engage with CXOs, innovation heads, and digital officers to map client needs to advanced tech solutions. Drive sales motions for private/hybrid cloud, GenAI platforms, GPU hosting, and early-stage quantum computing services. Partnerships & Alliances Build and manage alliances with hyperscalers (AWS, Azure, GCP), AI/LLM platforms, and global quantum vendors. Leverage ecosystem partnerships for joint GTMs, co-innovation, and capability expansion. Liaise with academia, R&D labs, and government agencies for grants and co-development in quantum/AI. Technology & Innovation Leadership Collaborate with product, delivery, and CTO teams to evolve solution offerings across AI/ML, data lakes, and GPU-optimized cloud. Stay ahead of trends in sovereign cloud, GenAI, post-quantum security, and domain specific LLMs. Represent the company at key summits, think tanks, and policy forums on AI & Quantum. Commercial Structuring & Strategy Shape innovative business models — outcome-based pricing, joint IP monetization, sandbox-to-scale programs. Drive consultative sales engagements, PoCs, and enterprise-wide transformation initiatives. Support strategic planning and M&A evaluations in emerging tech-led verticals. Experience & Educational Requirements EDUCATIONAL QUALIFICATIONS (Degree, training, or certification required) • Bachelor’s in engineering / computer science; MBA or advanced tech degree preferred. RELEVANT EXPERIENCE (No of years of technical & functional experience required ) 10+ years of enterprise BD experience in AI/Cloud/Tech Infra; Quantum exposure is a bonus. Demonstrated success in complex deal structuring, ecosystem orchestration, and GTM execution. Understanding of AI/ML stacks (e.g., Hugging Face, LangChain), cloud-native infra (K8s, VMware), and quantum tools (Qiskit, Cirq, Xanadu). Key Attributes Strategic thinker with strong execution muscle Tech-savvy with commercial acumen Excellent storytelling and stakeholder management skills Ability to operate in a fast-evolving, ambiguous tech landscape

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems. The Opportunity When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills. As part of the Data Science and Machine Learning Engineering team you will explore emerging technologies and develop innovative solutions that drive productivity and worth. As a Senior Associate, you will mentor junior team members, contribute to research publications, and rapidly test hypotheses to solve complex problems in the realm of quantum computing and AI. Responsibilities Explore and implement emerging technologies for innovative solutions Mentor junior team members in research and development Contribute to research publications in quantum computing and AI Rapidly test hypotheses to address complex challenges Collaborate with interdisciplinary teams to drive project outcomes Analyze data and findings to inform future projects Stay abreast of advancements in technology and methodologies Foster a collaborative environment for knowledge sharing What You Must Have Bachelor's Degree 4 years of experience in quantum algorithms, cryptography, or quantum computing Oral and written proficiency in English required What Sets You Apart Graduate, Postgraduate, or PhD in Computer Science, Engineering, Physics, Mathematics, or a related technical field preferred Experience in quantum algorithms, cryptography, or quantum computing Proficiency with open-source frameworks like PyTorch, TensorFlow, and Keras Publishing in reputed international journals on quantum algorithms Learning new technologies rapidly and evaluating their impact Understanding of linear algebra and advanced quantum computing concepts Hands-on experience with IBM Qiskit and D-Wave’s tools Applying machine learning techniques with TensorFlow and Keras Prior research publications in leading journals

As an AI Engineer at Tailai Private Limited, you will be part of a dynamic team working on building intelligent systems at the cutting edge of Artificial Intelligence and Quantum Computing. Your primary responsibilities will involve building AI/ML models that seamlessly integrate with quantum algorithms, researching and experimenting with Quantum Machine Learning (QML), and collaborating on developing next-generation computing solutions with real-world impact. To excel in this role, you should possess a strong foundation in Machine Learning and Deep Learning, with proficiency in tools like TensorFlow and PyTorch. Additionally, you should be well-versed in programming with Python and demonstrate a keen interest or prior experience in Quantum Computing tools such as Qiskit and PennyLane. Strong mathematical and analytical skills are essential for this position to tackle complex challenges at the forefront of technology. If you are a curious and driven individual who is passionate about the potential of AI and Quantum Computing to transform the future, we encourage you to apply for this exciting opportunity. Please send your resume to hr@tailinc.ai along with a brief note explaining why you are enthusiastic about AI and Quantum technologies. Join us at Tailai Private Limited and be a part of our mission to reimagine intelligence through the power of AI and Quantum. #Hiring #AIJobs #QuantumComputing #MachineLearning #QML #TechJobs #Tailai #DeepTech #StartupJobs #Hyderabad #Remote #BangaloreJobs,

About The Opportunity An advanced-technology scale-up operating at the forefront of Quantum Computing, Artificial Intelligence, and Semiconductor Engineering. Our hardware division develops full-stack enterprise quantum computers—spanning superconducting processors, cryogenic control electronics, and RF instrumentation—to drive breakthroughs across life sciences, finance, transportation, and space. We are expanding our Bengaluru R&D team with a Quantum Hardware Research Scientist who will lead theoretical modeling and simulation of next-generation qubit architectures. Role & Responsibilities Develop and refine quantum-mechanical models of coupled superconducting qubit systems using Hamiltonian engineering principles. Perform large-scale numerical simulations to characterize circuit QED properties, coherence phenomena, and error-correction performance. Collaborate with device and control-engineering teams to translate models into optimized qubit designs and control schemes. Design and validate experimental protocols for measuring coherence times, gate fidelities, and quantum process tomography. Analyze simulation and experimental data to identify performance bottlenecks and propose targeted improvements. Document methods, results, and recommendations in technical reports and peer-reviewed publications. Skills & Qualifications Must-Have MSc/MTech/PhD in Physics, Electrical Engineering, or related field with a focus on quantum mechanics or quantum technologies. Deep understanding of Hamiltonian engineering and circuit QED principles in superconducting qubits. Expertise in numerical methods and computational modeling (e.g., finite-element analysis, matrix diagonalization). Proficiency in Python, MATLAB, or C++ for simulation development and data analysis. Experience designing DoE-driven experimental protocols and analyzing coherence time, gate fidelity, and tomography measurements. Track record of publications or patents in quantum device research. Preferred Familiarity with bosonic error-correction codes and autonomous feedback techniques. Hands-on experience with quantum computing frameworks such as Qiskit or Cirq. Background in cryogenic electronics, RF instrumentation, or control system integration. Benefits & Culture Highlights Collaborative, innovation-driven environment with access to cutting-edge tools and cross-disciplinary expertise. Opportunities for rapid career growth, conference participation, and peer-reviewed publications. Flexible work policies, comprehensive health benefits, and relocation assistance for outstanding candidates. Skills: quantum computing,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

Job Purpose We are seeking a dynamic, forward-thinking Business Development Leader to drive growth across our AI, Cloud, and Quantum solution portfolios. This role combines deep technology awareness with strategic selling and ecosystem-building capabilities. You will work across verticals, orchestrate client and partner engagements, and help shape future ready GTM strategies for digital infrastructure, enterprise AI adoption, and quantum innovation. Role Description Business Growth & Client Engagement Own P&L for strategic accounts and lead opportunity identification across AI workloads, cloud transformation, and quantum PoCs. Engage with CXOs, innovation heads, and digital officers to map client needs to advanced tech solutions. Drive sales motions for private/hybrid cloud, GenAI platforms, GPU hosting, and early-stage quantum computing services. Partnerships & Alliances Build and manage alliances with hyperscalers (AWS, Azure, GCP), AI/LLM platforms, and global quantum vendors. Leverage ecosystem partnerships for joint GTMs, co-innovation, and capability expansion. Liaise with academia, R&D labs, and government agencies for grants and co-development in quantum/AI. Technology & Innovation Leadership Collaborate with product, delivery, and CTO teams to evolve solution offerings across AI/ML, data lakes, and GPU-optimized cloud. Stay ahead of trends in sovereign cloud, GenAI, post-quantum security, and domain specific LLMs. Represent the company at key summits, think tanks, and policy forums on AI & Quantum. Commercial Structuring & Strategy Shape innovative business models — outcome-based pricing, joint IP monetization, sandbox-to-scale programs. Drive consultative sales engagements, PoCs, and enterprise-wide transformation initiatives. Support strategic planning and M&A evaluations in emerging tech-led verticals. Educational Qualifications Experience & Educational Requirements (Degree, training, or certification required) Bachelor’s in engineering / computer science; MBA or advanced tech degree preferred. Relevant Experience (No of years of technical & functional experience required ) 10+ years of enterprise BD experience in AI/Cloud/Tech Infra; Quantum exposure is a bonus. Demonstrated success in complex deal structuring, ecosystem orchestration, and GTM execution. Understanding of AI/ML stacks (e.g., Hugging Face, LangChain), cloud-native infra (K8s, VMware), and quantum tools (Qiskit, Cirq, Xanadu). Key Attributes Strategic thinker with strong execution muscle Tech-savvy with commercial acumen Excellent storytelling and stakeholder management skills Ability to operate in a fast-evolving, ambiguous tech landscape

Job Purpose We are seeking a dynamic, forward-thinking Business Development Leader to drive growth across our AI, Cloud, and Quantum solution portfolios. This role combines deep technology awareness with strategic selling and ecosystem-building capabilities. You will work across verticals, orchestrate client and partner engagements, and help shape future ready GTM strategies for digital infrastructure, enterprise AI adoption, and quantum innovation. Role Description Business Growth & Client Engagement Own P&L for strategic accounts and lead opportunity identification across AI workloads, cloud transformation, and quantum PoCs. Engage with CXOs, innovation heads, and digital officers to map client needs to advanced tech solutions. Drive sales motions for private/hybrid cloud, GenAI platforms, GPU hosting, and early-stage quantum computing services. Partnerships & Alliances Build and manage alliances with hyperscalers (AWS, Azure, GCP), AI/LLM platforms, and global quantum vendors. Leverage ecosystem partnerships for joint GTMs, co-innovation, and capability expansion. Liaise with academia, R&D labs, and government agencies for grants and co-development in quantum/AI. Technology & Innovation Leadership Collaborate with product, delivery, and CTO teams to evolve solution offerings across AI/ML, data lakes, and GPU-optimized cloud. Stay ahead of trends in sovereign cloud, GenAI, post-quantum security, and domain specific LLMs. Represent the company at key summits, think tanks, and policy forums on AI & Quantum. Commercial Structuring & Strategy Shape innovative business models — outcome-based pricing, joint IP monetization, sandbox-to-scale programs. Drive consultative sales engagements, PoCs, and enterprise-wide transformation initiatives. Support strategic planning and M&A evaluations in emerging tech-led verticals. Educational Qualifications Experience & Educational Requirements (Degree, training, or certification required) Bachelor’s in engineering / computer science; MBA or advanced tech degree preferred. Relevant Experience (No of years of technical & functional experience required ) 10+ years of enterprise BD experience in AI/Cloud/Tech Infra; Quantum exposure is a bonus. Demonstrated success in complex deal structuring, ecosystem orchestration, and GTM execution. Understanding of AI/ML stacks (e.g., Hugging Face, LangChain), cloud-native infra (K8s, VMware), and quantum tools (Qiskit, Cirq, Xanadu). Key Attributes Strategic thinker with strong execution muscle Tech-savvy with commercial acumen Excellent storytelling and stakeholder management skills Ability to operate in a fast-evolving, ambiguous tech landscape

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.

JOB PURPOSE We are seeking a dynamic, forward-thinking Business Development Leader to drive growth across our AI, Cloud, and Quantum solution portfolios. This role combines deep technology awareness with strategic selling and ecosystem-building capabilities. You will work across verticals, orchestrate client and partner engagements, and help shape future ready GTM strategies for digital infrastructure, enterprise AI adoption, and quantum innovation. ROLE DESCRIPTION Business Growth & Client Engagement Own P&L for strategic accounts and lead opportunity identification across AI workloads, cloud transformation, and quantum PoCs. Engage with CXOs, innovation heads, and digital officers to map client needs to advanced tech solutions. Drive sales motions for private/hybrid cloud, GenAI platforms, GPU hosting, and early-stage quantum computing services. Partnerships & Alliances Build and manage alliances with hyperscalers (AWS, Azure, GCP), AI/LLM platforms, and global quantum vendors. Leverage ecosystem partnerships for joint GTMs, co-innovation, and capability expansion. Liaise with academia, R&D labs, and government agencies for grants and co-development in quantum/AI. Technology & Innovation Leadership Collaborate with product, delivery, and CTO teams to evolve solution offerings across AI/ML, data lakes, and GPU-optimized cloud. Stay ahead of trends in sovereign cloud, GenAI, post-quantum security, and domain specific LLMs. Represent the company at key summits, think tanks, and policy forums on AI & Quantum. Commercial Structuring & Strategy Shape innovative business models — outcome-based pricing, joint IP monetization, sandbox-to-scale programs. Drive consultative sales engagements, PoCs, and enterprise-wide transformation initiatives. Support strategic planning and M&A evaluations in emerging tech-led verticals. Experience & Educational Requirements EDUCATIONAL QUALIFICATIONS (Degree, training, or certification required) • Bachelor’s in engineering / computer science; MBA or advanced tech degree preferred. RELEVANT EXPERIENCE (No of years of technical & functional experience required ) 10+ years of enterprise BD experience in AI/Cloud/Tech Infra; Quantum exposure is a bonus. Demonstrated success in complex deal structuring, ecosystem orchestration, and GTM execution. Understanding of AI/ML stacks (e.g., Hugging Face, LangChain), cloud-native infra (K8s, VMware), and quantum tools (Qiskit, Cirq, Xanadu). Key Attributes Strategic thinker with strong execution muscle Tech-savvy with commercial acumen Excellent storytelling and stakeholder management skills Ability to operate in a fast-evolving, ambiguous tech landscape

JOB PURPOSE We are seeking a dynamic, forward-thinking Business Development Leader to drive growth across our AI, Cloud, and Quantum solution portfolios. This role combines deep technology awareness with strategic selling and ecosystem-building capabilities. You will work across verticals, orchestrate client and partner engagements, and help shape future ready GTM strategies for digital infrastructure, enterprise AI adoption, and quantum innovation. ROLE DESCRIPTION Business Growth & Client Engagement Own P&L for strategic accounts and lead opportunity identification across AI workloads, cloud transformation, and quantum PoCs. Engage with CXOs, innovation heads, and digital officers to map client needs to advanced tech solutions. Drive sales motions for private/hybrid cloud, GenAI platforms, GPU hosting, and early-stage quantum computing services. Partnerships & Alliances Build and manage alliances with hyperscalers (AWS, Azure, GCP), AI/LLM platforms, and global quantum vendors. Leverage ecosystem partnerships for joint GTMs, co-innovation, and capability expansion. Liaise with academia, R&D labs, and government agencies for grants and co-development in quantum/AI. Technology & Innovation Leadership Collaborate with product, delivery, and CTO teams to evolve solution offerings across AI/ML, data lakes, and GPU-optimized cloud. Stay ahead of trends in sovereign cloud, GenAI, post-quantum security, and domain specific LLMs. Represent the company at key summits, think tanks, and policy forums on AI & Quantum. Commercial Structuring & Strategy Shape innovative business models — outcome-based pricing, joint IP monetization, sandbox-to-scale programs. Drive consultative sales engagements, PoCs, and enterprise-wide transformation initiatives. Support strategic planning and M&A evaluations in emerging tech-led verticals. Experience & Educational Requirements EDUCATIONAL QUALIFICATIONS (Degree, training, or certification required) • Bachelor’s in engineering / computer science; MBA or advanced tech degree preferred. RELEVANT EXPERIENCE (No of years of technical & functional experience required ) 10+ years of enterprise BD experience in AI/Cloud/Tech Infra; Quantum exposure is a bonus. Demonstrated success in complex deal structuring, ecosystem orchestration, and GTM execution. Understanding of AI/ML stacks (e.g., Hugging Face, LangChain), cloud-native infra (K8s, VMware), and quantum tools (Qiskit, Cirq, Xanadu). Key Attributes Strategic thinker with strong execution muscle Tech-savvy with commercial acumen Excellent storytelling and stakeholder management skills Ability to operate in a fast-evolving, ambiguous tech landscape

JOB PURPOSE We are seeking a dynamic, forward-thinking Business Development Leader to drive growth across our AI, Cloud, and Quantum solution portfolios. This role combines deep technology awareness with strategic selling and ecosystem-building capabilities. You will work across verticals, orchestrate client and partner engagements, and help shape future ready GTM strategies for digital infrastructure, enterprise AI adoption, and quantum innovation. ROLE DESCRIPTION Business Growth & Client Engagement Own P&L for strategic accounts and lead opportunity identification across AI workloads, cloud transformation, and quantum PoCs. Engage with CXOs, innovation heads, and digital officers to map client needs to advanced tech solutions. Drive sales motions for private/hybrid cloud, GenAI platforms, GPU hosting, and early-stage quantum computing services. Partnerships & Alliances Build and manage alliances with hyperscalers (AWS, Azure, GCP), AI/LLM platforms, and global quantum vendors. Leverage ecosystem partnerships for joint GTMs, co-innovation, and capability expansion. Liaise with academia, R&D labs, and government agencies for grants and co-development in quantum/AI. Technology & Innovation Leadership Collaborate with product, delivery, and CTO teams to evolve solution offerings across AI/ML, data lakes, and GPU-optimized cloud. Stay ahead of trends in sovereign cloud, GenAI, post-quantum security, and domain specific LLMs. Represent the company at key summits, think tanks, and policy forums on AI & Quantum. Commercial Structuring & Strategy Shape innovative business models — outcome-based pricing, joint IP monetization, sandbox-to-scale programs. Drive consultative sales engagements, PoCs, and enterprise-wide transformation initiatives. Support strategic planning and M&A evaluations in emerging tech-led verticals. Experience & Educational Requirements EDUCATIONAL QUALIFICATIONS (Degree, training, or certification required) • Bachelor’s in engineering / computer science; MBA or advanced tech degree preferred. RELEVANT EXPERIENCE (No of years of technical & functional experience required ) 10+ years of enterprise BD experience in AI/Cloud/Tech Infra; Quantum exposure is a bonus. Demonstrated success in complex deal structuring, ecosystem orchestration, and GTM execution. Understanding of AI/ML stacks (e.g., Hugging Face, LangChain), cloud-native infra (K8s, VMware), and quantum tools (Qiskit, Cirq, Xanadu). Key Attributes Strategic thinker with strong execution muscle Tech-savvy with commercial acumen Excellent storytelling and stakeholder management skills Ability to operate in a fast-evolving, ambiguous tech landscape

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.