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Quantum Computing Research Scientist

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Innovations at the forefront of technological evolution as we pioneer quantum computing breakthroughs that will reshape industries by 2026. Our multidisciplinary team is developing next-generation quantum algorithms and hardware to solve previously unsolvable problems. This role offers unparalleled opportunities to collaborate with Nobel laureates and contribute to projects that will define the next decade of computational science.

We offer competitive compensation, equity packages, and a state-of-the-art research facility with access to quantum annealing systems and superconducting processors. Our commitment to work-life balance includes flexible schedules and dedicated innovation time.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop error mitigation techniques for quantum circuit execution
  • Collaborate with hardware teams to translate theoretical models into practical implementations
  • Publish research in peer-reviewed journals and present at international conferences
  • Lead cross-functional projects with AI and machine learning specialists
  • Secure research funding through grant proposals and industry partnerships

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years of hands-on quantum computing research with published papers
  • Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
  • Strong background in linear algebra and probability theory
  • Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
  • Track record of securing research funding or industry collaborations
  • Expertise in at least one classical programming language (Python, C++, Julia)

Required Skills

Quantum Computing Quantum Algorithms Error Correction Qiskit Cirq Machine Learning Superconducting Qubits Research Methodology

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