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Quantum Computing Research Scientist

Nexus Labs
Austin
Estimated Salary
USD 150.000 – USD 200.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Quantum Computing Research Scientist to develop groundbreaking algorithms and architectures that will redefine computational boundaries. Our interdisciplinary team collaborates with Fortune 500 partners to solve complex challenges in cryptography, drug discovery, and climate modeling. This role offers unparalleled resources including state-of-the-art quantum processors and a $50M research budget. You'll contribute to humanity's next technological leap while enjoying Austin's vibrant tech ecosystem.

Responsibilities

  • Design and implement novel quantum algorithms for practical 2026 applications
  • Lead research in quantum error correction and fault-tolerant architectures
  • Collaborate with hardware teams to optimize quantum software on next-gen processors
  • Publish findings in top-tier journals and present at international conferences
  • Develop strategic roadmaps for quantum adoption in enterprise environments
  • Mentor junior researchers and drive cross-functional innovation initiatives
  • Secure external funding through NSF and DoD grants

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on quantum algorithm development experience
  • Publication record in Nature/Science or equivalent venues
  • Expertise in quantum programming languages (Qiskit, Cirq, Q#)
  • Deep understanding of quantum decoherence mitigation techniques
  • Proven ability to translate theoretical concepts into practical implementations
  • Experience with high-performance computing and parallel processing
  • Strong background in linear algebra and complex systems theory

Required Skills

Quantum Computing Algorithm Development Qiskit Cirq Quantum Error Correction Cryptography Machine Learning High-Performance Computing

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