R&D Engineer II

at  Ansys

SUMMARY

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, Quantum Machine Learning, Physics Informed QML or Variational Quantum Algorithms(VQA).

MINIMUM QUALIFICATIONS

• 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

• Experience on quantum computing programing, with languages such as Qiskit or Pennylane
• Experience on general purposes computing on GPU, Cuda-Q and Nvidia quantum stack or AWS quatum stack
  At Ansys, we know that changing the world takes vision, skill, and each other. We fuel new ideas, build relationships, and help each other realize our greatest potential. We are ONE Ansys. We operate on three key components: the commitments to our stakeholders, the behaviors of how we work together, and the actions of how we deliver results. Together as ONE Ansys, we are powering innovation that drives human advancement.

Our Commitments:

• Amaze with innovative products and solutions
• Make our customers incredibly successful
• Act with integrity
• Ensure employees thrive and shareholders prosper

Our Values:

• Adaptability: Be open, welcome what’s next
• Courage: Be courageous, move forward passionately
• Generosity: Be generous, share, listen, serve
• Authenticity: Be you, make us stronger

Our Actions:

• We commit to audacious goals
• We work seamlessly as a team
• We demonstrate mastery
• We deliver outstanding results

• Research and develop quantum computing algorithms such as QML or VQA and specifically QPINNs, VQite or QAOA 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