Work In Tech

Summary / Role Purpose
R&D Engineer II contributes to the development of software products and supporting systems. As part of Office of CTO, in this role you will be researching and developing techniques to accelerate quantum computing workloads relevant to Ansys. In specific, s/he will work with different partners of Ansys to implement and work on algorithms such as, but not limited to, Harrow–Hassidim–Lloyd algorithm(HHL) or Quantum Lattice Boltzmann algorithm, or Variational Quantum Eigensolvers (VQE) and Quantum Approximate Optimization Algorithm (QAOA).

Key Duties and Responsibilities

• Research and develop quantum computing algorithms such as HHL, QLB, VQE and QAOA or quantum machine learning algorthms as applied to numerical simulations and physics.
• Research and develop how to solve optimization problems in physics using gradient and gradient free quantum or ML algorithms such as QGA, or classical approaches.
• Participate in brainstorming, planning, architecture, and research.
• Craft and optimize core parallel algorithms and data structures to provide the best solutions using Ansys tools.
• Publish and present discovered optimization techniques in Ansys blogs or relevant technical conferences to engage and educate the developer community.
• Diagnose and fix code problems.
• Create unit regression and/or system-level tests to thoroughly validate new features or changes.
• Works under the general supervision of a development manager

Minimum Education/Certification Requirements and Experience

• Masters in Engineering, Computer Science, with focus on applied maths or physics or related field.
• Programming fluency in Python and C/C++ with a deep understanding of algorithms, programming techniques, and software design.
• Familiarity with quantum concepts and techniques, including common quantum algorithms such as Quantum Fourier Transform (QFT), Quantum Phase Estimation (QPE), and Quantum Approximate Optimization Algorithm (QAOA).

Preferred Qualifications and Skills

• Experience on quantum computing programing, with languages such as Qiskit, QuTip or Pulser
• Experience on general purposes computing on GPU, Nvidia quantum stack or AWS quatum stack