Research Engineer

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.

If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Key Responsibilities

• Design, develop, and evaluate hands-on engineering solutions that explore the use of quantum, quantum-inspired, and hybrid quantum-classical methods for real-world business problems.

• Work with internal teams, researchers, and client-facing stakeholders to understand business requirements and assess what it takes to translate them into quantum-relevant problem formulations.

• Build practical proof-of-concepts, reusable code artifacts, benchmarks, and technical assets that demonstrate the applicability of quantum approaches in industrial settings.

• Collaborate with interdisciplinary research teams to contribute to patents, publications, technical blogs, whitepapers, workshops, and other thought-leadership initiatives.

• Apply strong software engineering practices to develop scalable and maintainable code across quantum and classical machine learning workflows.

• Engage in knowledge dissemination through internal workshops, external presentations, technical content, and mentoring of junior researchers or engineers.

• Contribute to architectural decisions, code reviews, technical design discussions, and engineering best practices across research initiatives.

• Stay current with developments in quantum computing, quantum machine learning, quantum-inspired algorithms, and industrial applications, while critically evaluating their practical readiness.

Required Skills

• Bachelor's or Master's degree with 3+ years of relevant industry experience, or a PhD in Quantum Computing, Physics, Chemistry, Computer Science, Electrical Engineering, Applied Mathematics, or a related field.

• Strong hands-on engineering experience in Python and modern software development practices, including clean code, testing, version control, documentation, and collaborative development.

• Experience working in industrial research, applied R&D, technology consulting, product engineering, or client-facing innovation environments.

• Hands-on experience with machine learning, optimization, generative models, simulation, or data-driven decision systems in practical business contexts.

• Working knowledge of quantum computing concepts, quantum machine learning, hybrid quantum-classical approaches, or quantum-inspired methods.

• Experience with one or more quantum programming frameworks such as Qiskit, PennyLane, Cirq, Amazon Braket, or similar platforms.

• Domain knowledge in at least one industry area, preferably finance, healthcare, life sciences, manufacturing, logistics, or materials science.

• Demonstrated ability to convert research concepts into applied outcomes such as prototypes, reusable assets, technical reports, patents, publications, blogs, workshops, or client-facing demonstrations.

• Strong communication skills with the ability to work across research, engineering, business, and domain expert teams.

• Experience mentoring junior engineers or researchers, reviewing code, contributing to technical design, and promoting engineering best practices.

Good to Have

• Prior hands-on experience working with quantum hardware or cloud-based quantum platforms such as IBM Quantum, AWS Braket, Google Quantum, DWave Annealers, or similar systems.

• Familiarity with practical considerations in noisy quantum systems, including device constraints, execution workflows, measurement strategies, and performance evaluation.

• Experience applying advanced analytics, AI, ML, or simulation techniques to business problems in finance or healthcare.

• Prior experience in consulting, applied research labs, innovation teams, or technology transfer environments.

• Track record of patents, peer-reviewed publications, technical blogs, conference talks, workshops, or other thought-leadership contributions.

• Experience translating emerging technologies into stakeholder-facing narratives, demos, proposals, or solution blueprints.