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Quantum Computing Research Scientist

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Quantum Computing Research Scientist to develop next-generation algorithms and hardware prototypes that will redefine computational boundaries. In this role, you'll collaborate with Nobel laureates and industry disruptors in our Austin innovation hub, leveraging state-of-the-art quantum processors to solve previously impossible problems in cryptography, material science, and artificial intelligence. Our commitment to cutting-edge research is matched only by our dedication to your professional growth through annual research stipends and conference sponsorships.

Responsibilities

  • Design and implement quantum algorithms for practical applications in machine learning and optimization
  • Develop error-correction protocols for scalable quantum systems
  • Collaborate with hardware teams to prototype quantum processors operating at room temperature
  • Lead cross-functional research initiatives with partners at MIT, Stanford, and IBM
  • Publish breakthrough findings in Nature and IEEE journals
  • Mentor junior researchers in quantum computing principles
  • Secure $2M+ in annual research grants from NSF and DARPA

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 5+ years of hands-on quantum algorithm development experience
  • Published research in quantum error correction or topological qubits
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Demonstrated experience with superconducting or photonic quantum systems
  • Strong background in linear algebra and computational complexity theory
  • Track record of securing federal research grants

Required Skills

Quantum Computing Quantum Algorithms Quantum Error Correction Qiskit Q# Superconducting Qubits Photonic Quantum Systems Machine Learning Cryptography Research Grants

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