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Job Type

Full Time

Job Description

Role


Required Technical Skill Set


Desired Experience Range


Location of Requirement


Desired Competencies (Technical/Behavioural Competency)

Must-Have


  • Strong understanding of quantum mechanics and quantum computing principles
  • Proficiency in python & numerical libraries
  • Experience with quantum frameworks/SDK’s (like Qiskit, Pennylane etc.)
  • Immense experience with classical algorithms & optimization techniques
  • Hands-on experience in modelling & solving optimization problems using various solvers
  • Experience with implementing algorithms on NISQ era devices & quantum annealers
  • Strong foundation in linear algebra (advanced), applied mathematics


Good-to-Have


  • Familiarity with different cloud-based quantum services like AWS Brake
  • Knowledge in adjacent areas like machine learning, HPC & cryptography
  • Tensorflow & pytorch (for quantum machine learning apps)


Responsibility of / Expectations from the Role


  • Design & implement quantum algorithms for specific use cases (on different problem types – crypto, optimization, AI/ML, simulation) across different manufacturing domains
  • Develop hybrid quantum-classical solutions using various quantum frameworks/SDK’s like Qiskit, Pennylane, Bracket
  • Deploy & test the solutions on different quantum simulators and hardware from different providers like D-wave, IBM, IonQ etc
  • Design mathematical model for optimization problems (MILP, LP, NLP etc.)
  • Work with the cross functional team to understand the problem requirements and model constraints, objectives & variables
  • Implement the model(s) using solvers like Cplex, Gurobi etc
  • Benchmark the results from quantum solutions against classical methods
  • Explore any new tools/frameworks/products launched in quantum computing space

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