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Quantum Computing Research Scientist

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing applications for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop next-gen algorithms and solve previously unsolvable computational challenges. This role offers unparalleled access to cutting-edge quantum hardware and collaborative partnerships with global research institutions.

As part of our Innovation Division, you'll contribute to breakthroughs in cryptography, AI optimization, and materials science. We offer competitive compensation, flexible work arrangements, and a dedicated R&D budget exceeding $50M annually.

Responsibilities

  • Design and implement quantum algorithms for practical applications in logistics, finance, and healthcare
  • Collaborate with hardware engineers to optimize quantum circuit performance on superconducting platforms
  • Lead cross-functional research initiatives in quantum machine learning and error correction
  • Publish findings in top-tier journals and present at international quantum computing conferences
  • Secure external funding through NSF and DARPA grant proposals
  • Mentor junior researchers and contribute to our patent portfolio

Qualifications

  • PhD in Physics, Computer Science, or related field with 3+ years quantum computing experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
  • Published research in quantum algorithm development or quantum error correction
  • Experience with superconducting or ion-trap quantum systems
  • Strong background in linear algebra, probability theory, and computational complexity
  • Track record of securing research grants or industry partnerships
  • Excellent communication skills for technical and non-technical audiences

Required Skills

quantum computing quantum algorithms Qiskit Cirq superconducting systems error correction machine learning cryptography research grants

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