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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions that will redefine 2026 and beyond. Our Austin-based innovation hub is seeking a visionary Quantum Computing Research Scientist to develop next-gen algorithms and hardware architectures. You'll collaborate with Nobel laureates and industry disruptors to solve previously unsolvable problems in cryptography, materials science, and artificial intelligence. This role offers unparalleled resources including our 128-qubit quantum processor and dedicated research budget. We offer competitive equity packages, flexible remote work options, and relocation assistance for top global talent.

Responsibilities

  • Design and implement novel quantum algorithms for optimization problems
  • Lead research into quantum error correction techniques for fault-tolerant systems
  • Develop hybrid quantum-classical computing frameworks for enterprise applications
  • Publish groundbreaking research in top-tier journals and conferences
  • Collaborate with hardware engineering teams to translate theoretical models into practical implementations
  • Secure research grants and patents for quantum innovations
  • Mentor junior researchers and contribute to our open-source quantum toolkit

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 3+ years research experience
  • Expertise in quantum algorithm design (Shor's, Grover's, VQE, etc.)
  • Proficiency with quantum programming frameworks (Qiskit, Cirq, Q#)
  • Strong publication record in quantum computing or related fields
  • Experience with superconducting or trapped-ion quantum systems
  • Demonstrated ability to secure research funding
  • Excellent written and verbal communication skills

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Superconducting Qubits Quantum Error Correction Machine Learning Cryptography

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