Director of Quantum Optimization Technology

QpiAI; Bengaluru; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

QPIAI India Pvt. Ltd. in Bengaluru seeks a Director of Quantum Optimization Technology to lead research, development, and deployment of quantum‑classical hybrid algorithms for enterprise problems such as supply chain and portfolio optimization.

The role requires a strategic leader with 12+ years in deep tech/HPC, strong quantum theory and optimization background, and proficiency in Python and quantum frameworks (Qiskit, Cirq, PennyLane, Pyomo, Gurobi).

Qualifications

• Ph.D. or Master’s degree in a quantitative field.
• 12+ years of deep tech/HPC leadership experience.
• Strong knowledge of quantum information theory and quantum algorithms (QAOA, VQE).
• Expertise in classical optimization (LP, MILP) and scientific computing.
• Proficiency in Python and quantum frameworks (Qiskit, PennyLane, Cirq, Pyomo, Gurobi).
• Proven ability to lead global research teams and collaborate across functions.

Responsibilities

• Define and execute the long-term vision and roadmap for quantum optimization technologies.
• Lead the design, simulation and implementation of hybrid quantum-classical workflows.
• Own the full software stack translating high-level quantum programs into processor-ready instructions.
• Design experiments to validate, benchmark, and debug quantum optimization models against classical baselines.
• Partner with experimental physics, control hardware, product and business teams for alignment.
• Build an ecosystem by interfacing with academia, industry partners and government programs.

Skills

Quantum algorithms

Quantum information theory

Circuit optimization

Python

Scientific computing

Leadership

Education

Ph.D. or Master’s in Physics / CS / Math / OR

Quantitative field degree

Tools

Qiskit

PennyLane

Cirq

Pyomo

Gurobi

Job description

QPIAI India Pvt. Ltd. is a next‑generation technology company focused on Artificial Intelligence, Quantum Computing, and advanced IT innovation. At QPIAI, we believe that great ideas grow in the right environment. Our culture is built on flexibility, collaboration, and continuous learning, supported by a strong commitment to employee well-being and work–life balance. We provide a workplace that encourages creativity, fosters professional growth, and empowers people to take ownership of impactful projects.

We are proud to be a company where innovation meets opportunity—where passionate professionals come together to solve complex challenges and shape the future of technology.

If you are driven by curiosity, inspired by cutting‑edge technologies, and eager to contribute to a global tech journey, QPIAI is the place to grow, lead, and make a meaningful impact.

About the Role:

A Director of Quantum Optimization Technology leads the research, development, and commercialization of quantum‑classical hybrid algorithms to solve complex enterprise problems like supply chain logistics, financial portfolio modeling, and resource management. They bridge the gap between theoretical physics, software engineering, and core business needs.

The Director will spearhead the transition of quantum optimization from theoretical research into deployed, high‑value enterprise products. Operating at the intersection of High‑Performance Computing (HPC), Artificial Intelligence, and Quantum Information Science, this role requires a strategic leader who can translate classically intractable business problems into quantum‑compatible algorithms executed on real hardware.

Key Responsibilities

• Strategic Leadership: Define and execute the long‑term vision and product roadmap for quantum optimization technologies.
• Algorithm Development: Lead the design, simulation, and implementation of hybrid workflows combining quantum subroutines with advanced classical methods (e.g., heuristics, mathematical programming).
• Hardware & Software Integration: Own the full software stack that translates high‑level quantum programs into optimized instructions for quantum processors (QPUs).
• Benchmarking & Validation: Design experiments to validate, benchmark, and debug quantum optimization models against existing classical baselines.
• Cross‑Functional Collaboration: Partner directly with experimental physics, control hardware, product, and business development teams to ensure technical alignment.
• Ecosystem Building: Act as the technical face of the organization, interfacing with academic collaborators, industry partners, and government programs.

Qualifications & Experience:

• Education: Ph.D. or Master’s Degree in Physics, Computer Science, Applied Mathematics, Operations Research, or a related quantitative field.
• Experience: 12+ years of professional experience in deep tech, HPC environments, or advanced computing systems, with a proven track record of leadership.
• Quantum Expertise: Deep understanding of quantum information theory, quantum algorithms (e.g., QAOA, VQE), and circuit compilation and optimization.
• Classical Optimization: Strong background in mathematical optimization (Linear Programming, Mixed Integer Programming) and classical scientific computing stacks.
• Technical Proficiency: Proficiency in Python and standard scientific/quantum ecosystems (e.g., Qiskit, PennyLane, Cirq, Pyomo, or Gurobi).
• Leadership Skills: Demonstrated ability to lead high‑performing global research teams, influence executive