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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop next-gen algorithms and systems that will redefine computational boundaries. Collaborate with world-class engineers in our state-of-the-art Austin facility to solve previously impossible challenges in cryptography, materials science, and AI optimization. This role offers unparalleled opportunities to shape the future of technology while working with industry-leading quantum hardware and software platforms.

Responsibilities

  • Design and implement novel quantum algorithms for complex computational problems
  • Conduct cutting-edge research in quantum error correction and fault tolerance
  • Develop hybrid quantum-classical computing frameworks for real-world applications
  • Lead cross-functional teams to integrate quantum solutions into existing tech stacks
  • Publish findings in peer-reviewed journals and present at international conferences
  • Collaborate with hardware teams to optimize quantum circuit performance
  • Secure patents for breakthrough quantum methodologies

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years research experience
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Strong background in linear algebra, quantum mechanics, and computational complexity
  • Proven track record of publishing high-impact quantum computing research
  • Experience with quantum simulators and hardware platforms (IBM, Rigetti, IonQ)
  • Excellent problem-solving skills for abstract computational challenges
  • Ability to translate complex quantum concepts into practical applications

Required Skills

Quantum Computing Quantum Algorithms Q# Qiskit Quantum Error Correction Cryptography Machine Learning Computational Physics

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