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Quantum Computing Researcher 2026

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

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing breakthroughs for 2026. We're seeking a visionary Quantum Computing Researcher to develop next-gen algorithms and systems that will redefine computational boundaries. This role offers unparalleled opportunities to work with cutting-edge hardware and collaborate with Nobel laureates in our state-of-the-art Austin facility.

As part of our innovation ecosystem, you'll contribute to projects that could revolutionize cryptography, drug discovery, and artificial intelligence. We offer competitive equity packages, flexible work arrangements, and access to our $50M R&D fund.

Responsibilities

  • Design and implement quantum algorithms for practical applications in finance, logistics, and materials science
  • Lead cross-functional teams to prototype quantum computing solutions on IBM and Google quantum processors
  • Publish breakthrough research in top-tier journals and present at international conferences
  • Develop error-correction protocols to achieve quantum advantage by 2026
  • Mentor junior researchers and contribute to patent portfolios
  • Collaborate with industry partners to commercialize quantum technologies

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years of research experience
  • Proven expertise in quantum circuit design and quantum machine learning frameworks
  • Strong publication record in Nature/Science or equivalent journals
  • Experience with quantum simulators (Qiskit, Cirq) and hardware platforms
  • Demonstrated ability to secure government or corporate research grants
  • Deep understanding of quantum error correction and fault-tolerant computing
  • Excellent communication skills for technical and non-technical stakeholders

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Machine Learning Cryptography Research Methodology

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