Quantum Software Engineer: Hardware-Aware Circuits

Metric Geo

Michigan

On-site

USD 120,000 - 180,000

Full time

2 days ago
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Job summary

Metric Geo is seeking a Quantum Algorithm Engineer to bridge quantum algorithms and hardware, optimizing circuits for performance and developing software frameworks for compilation, transpilation, and deployment. The role requires a PhD in physics, CS, math, or related fields, and strong software engineering in scientific computing environments such as Python or C++.

You will collaborate with research and hardware teams to translate designs into hardware-ready implementations and contribute to

Qualifications

  • PhD in physics, computer science, mathematics or a related field.
  • Strong software engineering skills in scientific computing (Python, C++, or similar).
  • Hands-on experience with quantum circuit design and quantum software frameworks (Qiskit, PennyLane, Cirq).
  • Understanding of quantum gate sets, circuit compilation, and hardware constraints.

Responsibilities

  • Implement and optimize quantum circuits for efficient execution on target hardware architectures.
  • Develop and maintain software tools and frameworks for compiling/transpiling and deploying quantum circuits.
  • Profile and benchmark circuit performance, identifying bottlenecks and driving improvements.
  • Collaborate with research and hardware teams to translate algorithmic designs into hardware-ready implementations.
  • Contribute to the development of internal quantum software infrastructure and tooling.

Skills

PhD in physics/CS/math
Python
C++
Quantum software frameworks

Education

PhD in related field

Tools

Qiskit
PennyLane
Cirq

Job description

Metric Geo is seeking a Quantum Algorithm Engineer to bridge quantum algorithms and hardware, optimizing circuits for performance and developing software frameworks for compilation, transpilation, and deployment. The role requires a PhD in physics, CS, math, or related fields, and strong software engineering in scientific computing environments such as Python or C++.

You will collaborate with research and hardware teams to translate designs into hardware-ready implementations and contribute to

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