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Quantum Computing Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
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. We're seeking a visionary Research Scientist to develop next-gen algorithms that will redefine computational boundaries. Work in our state-of-the-art lab with cutting-edge hardware and collaborate with Nobel laureates to solve humanity's grandest challenges.

Our team operates at the intersection of quantum physics and machine learning, pushing the limits of what's possible in cryptography, materials science, and AI. If you're passionate about shaping the future of technology and contributing to breakthroughs that will impact generations, this is your moment.

Responsibilities

  • Design and implement novel quantum algorithms for complex computational problems
  • Lead experimental quantum computing projects using 50+ qubit systems
  • Develop error-correction protocols to achieve fault-tolerant quantum computation
  • Collaborate with hardware engineers to optimize quantum circuit performance
  • Publish groundbreaking research in top-tier journals and conferences
  • Secure federal and private research funding for quantum initiatives
  • Mentor junior researchers in quantum information theory

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on experience with quantum programming languages (Q#, Qiskit, Cirq)
  • Published research in quantum algorithms or quantum error correction
  • Expertise in linear algebra, probability theory, and quantum mechanics
  • Proficiency with high-performance computing environments
  • Experience with machine learning frameworks applied to quantum systems
  • Demonstrated ability to secure competitive research grants
  • Strong track record of interdisciplinary collaboration

Required Skills

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

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