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Quantum Computing Research Scientist

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. Our multidisciplinary team is developing next-gen algorithms that will redefine computational boundaries, and we seek an exceptional Research Scientist to lead breakthrough innovations in quantum error correction and hardware-software integration. This role offers unparalleled opportunities to shape the future of technology while collaborating with Nobel laureates and industry pioneers in our state-of-the-art Austin facility.

Responsibilities

  • Design and implement quantum algorithms for practical applications in cryptography, optimization, and machine learning
  • Lead research initiatives in quantum error correction techniques to achieve fault-tolerant systems
  • Collaborate with hardware teams to co-design quantum processors with optimized software interfaces
  • Publish groundbreaking research in top-tier journals and present findings at international conferences
  • Mentor junior researchers and drive cross-functional innovation with AI and materials science teams
  • Secure federal and private funding for quantum computing research initiatives

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years of quantum research experience
  • Proven expertise in quantum circuit design and quantum programming languages (Q#, Qiskit)
  • Strong publication record in quantum computing or adjacent fields
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, or IonQ)
  • Demonstrated ability to secure competitive research grants
  • Deep understanding of quantum decoherence and mitigation strategies
  • Proficiency in high-performance computing environments and parallel programming

Required Skills

Quantum Computing Quantum Algorithms Error Correction Q# Qiskit Cryptography Machine Learning High-Performance Computing Research Methodology

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